This document summarizes an article from the International Journal of Civil Engineering and Technology that examines optimizing cropping patterns in an irrigation project area. It begins with background on the journal and outlines the objectives of determining optimal cropping patterns given land and water availability. It then reviews previous related studies and describes the study area which is the Mayurakshi Command Area in India. Key concepts are introduced, such as dividing the area into blocks based on agronomic, economic, climatic and rainfall factors. The problem is formulated with the objective of maximizing net return defined as revenue from crop sales minus expenses. Equations are provided to calculate net return per unit area for each crop, soil class, and block based on yield, prices
Water use management considering single and dual crop coefficient concept unIAEME Publication
This document discusses a case study analyzing the effect of using single versus dual crop coefficients on crop water requirements under different irrigation methods for wheat crops in the command area of the Choral River Irrigation Project in India. The study finds that considering dual crop coefficients and adopting drip irrigation could increase the area under wheat crops by about 8% while saving water. Specifically, it calculates crop water requirements for wheat using single and dual crop coefficients under sprinkler, furrow, and drip irrigation. It determines that drip irrigation requires the least water and furrow irrigation requires less than sprinkler irrigation. Overall, the study concludes dual crop coefficients and drip irrigation could enhance water use efficiency and yield per unit of available water.
rainfall pattern and groundwater fluctuation in ramganga river basin at barei...INFOGAIN PUBLICATION
Rainfall is an important factor in hydrological cycle that acts as the major source of all water resources on earth. The amount, intensity and areal distribution of rainfall are essential factors in many hydrologic studies and vary geographically, temporally & seasonally. Groundwater is the invisible and real indicator of the above complex processes happening in varying time and space. The process of variation of groundwater table of an unconfined aquifer due to rainfall is a complex one. It involves flow through unsaturated regions of the aquifer. The rate of infiltration depends upon soil moisture level present in the soil, type and density of cover and type of land use. Due urbanization and population growth, groundwater draft has increased and recharge due to rainfall has decreased resulting in a steady declination of groundwater table in the study area. For that, groundwater management has become need of the hour to tackle the emerging problem of groundwater depletion and water scarcity. Aim of the present study is to analyze the rainfall variation impacts on groundwater table in the study area. An attempt has been made to evaluate six rain gauge stations data of 10 years duration (2004-13) in determining the rainfall variation along with data of six observation well points situated on the same area to determine the groundwater table fluctuation during the same period (2004-13) so as to have a firsthand information about the groundwater table variation and its relation with the rainfall being received.
Climate Change is the most sought after a topic discussed very prominently in the media during this millennium as the Earth and the Environment is the worst affected due to it. Factors like global warming is leading to rise in Global Temperature, resulting melting polar ice, rising sea levels, high level of air pollution are affecting the quality of living for both men and animals.
The Journal of The Earth Science and Climate Change is peer reviewed academic journal that cater to the needs of Earth Scientists, farmers, extensive agents, researchers and students. This Open access journal publishes high quality articles following rigorous and standard review procedure.
Optimal Sizing and Economical Analysis of PV-Wind Hybrid Power System for Wat...IJECEIAES
In the present study three renewable power systems are proposed to select the most optimum one for powering an irrigation pumping system and a farmer’s house in two different locations in Sinai, Egypt. Abu-Rudies in south Sinai and El-Arish in north Sinai are the two selected locations. The three suggested power systems are; standalone photovoltaic (PV) system, standalone wind system and standalone PV-wind hybrid system. HOGA (Hybrid Optimization by Genetic Algorithms) simulation software tool based on genetic algorithm (GA) is used for sizing, optimization and economical evaluation of three suggested renewable power systems. Optimization of the power system is based on the components sizing and the operational strategy. The calculated maximum amount of water required for irrigating ten acres of olive per day is 170 m 3 . In terms of cost effectiveness, the optimal configurations are the hybrid PV-wind system and the standalone PV system for Abu-Rudies and El-Arish locations respectively. These systems are the most suitable than the others for the selected sites metrological data and the suggested electrical load.
Climate and crop modeling by Gummadi Sridhar,Gizachew Legesse,Pauline Chiveng...ICRISAT
Climate effects on agriculture are of increasing concern in both the scientific and policy communities because of the growing population and the greater uncertainty in the weather during growing seasons. Changes in production are directly linked to variations in temperature and precipitation during the growing season and often to the offseason changes in weather because of soil water storage to replenish the soil profile. This is not an isolated problem but one of worldwide interest because each country has concerns about their food security.
Optimization Analysis of Irrigation Water Using Linear Programpaperpublications3
Abstract: Irrigation water is a resource that is very strategic agriculture, the role of irrigation water has a very large dimensions. These resources not only affect productivity but also affects the spectrum utilization of agricultural commodities. Along with population growth, the demand for irrigation water to produce food (rice) will continue to increase. This is related to the fact that the setting and management of irrigation water are critical to improving agricultural productivity ..
Therefore we need a system of regulation and management of water resources so that irrigation water can be used optimally, including the provision of irrigation water that is tailored to their needs. Provision of irrigation water is the optimal amount of irrigation water supplied from the source through carrier channels (primary and secondary), tertiary canals, until the rice fields as needed.
In this study, the optimization is done by using a Linear Program. Value obtained from this optimization needs irrigation water as needed.
In addition to the optimization is done, to achieve high efficiency and the need for channel maintenance of existing irrigation facilities so not much irrigation water is wasted.
Water requirements and irrigation scheduling of pearl millet in rajasthankunalsahu9883
In this project, we choose 10 districts of Rajasthan with the highest production of pearl millet.
Found crop water requirements in all the districts.
Used CropWAT to get an irrigation schedule.
Used ArcGIS to project the obtained results
2a State of the science on assessment in agriculture under climate changeNAP Events
This document discusses the Global Agro-Ecological Zones (GAEZ) methodology for assessing agricultural land potential and limitations under climate change. It provides an overview of the GAEZ modeling steps, including agro-climatic analysis, calculation of potential biomass and crop yields, accounting for water stress, and determining agro-ecological suitability. Maps of key indicators like precipitation, temperature, and aridity index for Turkey are presented as examples of outputs. The goal of the GAEZ approach is to identify opportunities and constraints for food production under different climate scenarios to inform adaptation planning.
Water use management considering single and dual crop coefficient concept unIAEME Publication
This document discusses a case study analyzing the effect of using single versus dual crop coefficients on crop water requirements under different irrigation methods for wheat crops in the command area of the Choral River Irrigation Project in India. The study finds that considering dual crop coefficients and adopting drip irrigation could increase the area under wheat crops by about 8% while saving water. Specifically, it calculates crop water requirements for wheat using single and dual crop coefficients under sprinkler, furrow, and drip irrigation. It determines that drip irrigation requires the least water and furrow irrigation requires less than sprinkler irrigation. Overall, the study concludes dual crop coefficients and drip irrigation could enhance water use efficiency and yield per unit of available water.
rainfall pattern and groundwater fluctuation in ramganga river basin at barei...INFOGAIN PUBLICATION
Rainfall is an important factor in hydrological cycle that acts as the major source of all water resources on earth. The amount, intensity and areal distribution of rainfall are essential factors in many hydrologic studies and vary geographically, temporally & seasonally. Groundwater is the invisible and real indicator of the above complex processes happening in varying time and space. The process of variation of groundwater table of an unconfined aquifer due to rainfall is a complex one. It involves flow through unsaturated regions of the aquifer. The rate of infiltration depends upon soil moisture level present in the soil, type and density of cover and type of land use. Due urbanization and population growth, groundwater draft has increased and recharge due to rainfall has decreased resulting in a steady declination of groundwater table in the study area. For that, groundwater management has become need of the hour to tackle the emerging problem of groundwater depletion and water scarcity. Aim of the present study is to analyze the rainfall variation impacts on groundwater table in the study area. An attempt has been made to evaluate six rain gauge stations data of 10 years duration (2004-13) in determining the rainfall variation along with data of six observation well points situated on the same area to determine the groundwater table fluctuation during the same period (2004-13) so as to have a firsthand information about the groundwater table variation and its relation with the rainfall being received.
Climate Change is the most sought after a topic discussed very prominently in the media during this millennium as the Earth and the Environment is the worst affected due to it. Factors like global warming is leading to rise in Global Temperature, resulting melting polar ice, rising sea levels, high level of air pollution are affecting the quality of living for both men and animals.
The Journal of The Earth Science and Climate Change is peer reviewed academic journal that cater to the needs of Earth Scientists, farmers, extensive agents, researchers and students. This Open access journal publishes high quality articles following rigorous and standard review procedure.
Optimal Sizing and Economical Analysis of PV-Wind Hybrid Power System for Wat...IJECEIAES
In the present study three renewable power systems are proposed to select the most optimum one for powering an irrigation pumping system and a farmer’s house in two different locations in Sinai, Egypt. Abu-Rudies in south Sinai and El-Arish in north Sinai are the two selected locations. The three suggested power systems are; standalone photovoltaic (PV) system, standalone wind system and standalone PV-wind hybrid system. HOGA (Hybrid Optimization by Genetic Algorithms) simulation software tool based on genetic algorithm (GA) is used for sizing, optimization and economical evaluation of three suggested renewable power systems. Optimization of the power system is based on the components sizing and the operational strategy. The calculated maximum amount of water required for irrigating ten acres of olive per day is 170 m 3 . In terms of cost effectiveness, the optimal configurations are the hybrid PV-wind system and the standalone PV system for Abu-Rudies and El-Arish locations respectively. These systems are the most suitable than the others for the selected sites metrological data and the suggested electrical load.
Climate and crop modeling by Gummadi Sridhar,Gizachew Legesse,Pauline Chiveng...ICRISAT
Climate effects on agriculture are of increasing concern in both the scientific and policy communities because of the growing population and the greater uncertainty in the weather during growing seasons. Changes in production are directly linked to variations in temperature and precipitation during the growing season and often to the offseason changes in weather because of soil water storage to replenish the soil profile. This is not an isolated problem but one of worldwide interest because each country has concerns about their food security.
Optimization Analysis of Irrigation Water Using Linear Programpaperpublications3
Abstract: Irrigation water is a resource that is very strategic agriculture, the role of irrigation water has a very large dimensions. These resources not only affect productivity but also affects the spectrum utilization of agricultural commodities. Along with population growth, the demand for irrigation water to produce food (rice) will continue to increase. This is related to the fact that the setting and management of irrigation water are critical to improving agricultural productivity ..
Therefore we need a system of regulation and management of water resources so that irrigation water can be used optimally, including the provision of irrigation water that is tailored to their needs. Provision of irrigation water is the optimal amount of irrigation water supplied from the source through carrier channels (primary and secondary), tertiary canals, until the rice fields as needed.
In this study, the optimization is done by using a Linear Program. Value obtained from this optimization needs irrigation water as needed.
In addition to the optimization is done, to achieve high efficiency and the need for channel maintenance of existing irrigation facilities so not much irrigation water is wasted.
Water requirements and irrigation scheduling of pearl millet in rajasthankunalsahu9883
In this project, we choose 10 districts of Rajasthan with the highest production of pearl millet.
Found crop water requirements in all the districts.
Used CropWAT to get an irrigation schedule.
Used ArcGIS to project the obtained results
2a State of the science on assessment in agriculture under climate changeNAP Events
This document discusses the Global Agro-Ecological Zones (GAEZ) methodology for assessing agricultural land potential and limitations under climate change. It provides an overview of the GAEZ modeling steps, including agro-climatic analysis, calculation of potential biomass and crop yields, accounting for water stress, and determining agro-ecological suitability. Maps of key indicators like precipitation, temperature, and aridity index for Turkey are presented as examples of outputs. The goal of the GAEZ approach is to identify opportunities and constraints for food production under different climate scenarios to inform adaptation planning.
This project is about using linear programming method for allocating land and water resources in a district. The equations are solved with the help of MS Excel Solver.
This presentation highlighted the process of developing and progress made in the development of the FR and FB DST.
The site-specific fertilizer recommendation (FR) tool is built to provide an optimized and profitable site-specific fertilizer recommendations for cassava growers. The tool considers the location, soil fertility, weather condition, available fertilizers in the area, prices for fertilizer and cassava root, planned planting and harvest dates and the investment capacity of the farmers.
The nutrient omission trials (NOT) in Nigeria and Tanzania conducted by ACAI, in collaboration with the national research and development partners, show a large variation in nutrient responses indicating the need for site-specific fertilizer recommendation. ACAI is developing a crosscutting system using machine learning techniques coupled with process based crop models, LINTUL and QUEFTS, and economic optimizer algorithms to provide the site-specific recommendations. ACAI is transforming available big data like GIS layers from SoilGrids and weather data from CHIRPS and NASA to useful information that can be used to model the relationship between apparent soil nutrient supply and soil properties. Effort has also been made to identify a generic soil fertility indicator that can be easily obtained from farmers and is useful covariate to improve the accuracy of apparent soil nutrient supply predictions.
The next steps in the FR tool development include, validating the FR tool both functionally, checking if the recommendations outperform the current practices in the field and architecturally, checking user friendliness and if the tool satisfies the needs of development partners to dissemination strategy.
Dry and wet spell analysis of the two rainy seasons for decision support in a...Alexander Decker
This document analyzes rainfall patterns in the central highlands of Ethiopia to support agricultural decision making. It examines 33 years of weather data for a district with two rainy seasons, a shorter season from March to May and a main season from June to September. Markov chain and Weibull frequency models are used to analyze dry and wet spell probabilities at 10-day intervals. The results show the main season has a higher and more reliable probability of sufficient rainfall compared to the shorter season. Rainfall during the main season exceeds crop water needs, making it well-suited for crop production. In contrast, the shorter season suffers from a low probability of adequate rainfall and frequent dry spells, making it unsuitable for major crops.
Multi-objective land-water allocation model for sustainable agriculture with ...Kannapha Amaruchkul
Consider an agricultural land-water resource allocation problem, in which yields are spatial dependent and stochastically correlated. To achieve sustainability, we formulate a multi objective optimization problem, in which the decision maker determines the cultivation areas and the supplemental irrigation water levels at different locations, with social, economic and environmental goals in mind. For the social goal, we minimize the root mean squared difference of incomes among locations. For the economic goal, we minimize the production risk. We show that minimizing production risk is equivalent to maximizing the service level, when demand is normally distributed. For the environmental goal, we minimize the resource utilization. Assume that the yield vector at different locations follows a multivariate normal distribution. We formulate the multi-objective optimization problem using a weight global criterion method, and we provide a sufficient condition for convex quadratic programming. We demonstrate the applicability of our proposed framework in the case study of sugarcane production in Thailand. To capture yield response to water, we propose several models including linear and nonlinear regressions, and we obtain the closed-form expression for the linear and probit yield response models. The numerical experiment reveals that our solution significantly improves the social and economic goals, compared to the current policy. Finally, we illustrate how to apply our model to quantify the monetary value from reducing yield variability, which could be resulted from smart irrigation or precision agriculture.
Global custom-tailored machine learning of soil water content for locale spec...Agriculture Journal IJOEAR
Abstract—A novel approach to irrigation modeling is presented: the locale specific machine learning of soil moisture data. The merits of this new patent pending technique are clear when compared to existing methods, such as the AquaCrop program created by the Food and Agricultural Organization (FAO). From a case study on the comparative performance of AquaCrop and machine learning in the extrapolative modeling of soil moisture, AquaCrop performed with a mean squared error of 0.00165 whereas the machine learning received 0.00013, an order of magnitude lower. In addition, a novel algorithm, the ConserWater™ algorithm, has been created for the purpose of machine learning soil moisture with accuracy and efficiency. The performance of the algorithm is very superior when compared to other popular machine learning techniques, as applied to soil moisture. Finally, to allow this technology to reach agriculturalists at the grassroots level, the entire world has been machine learned and the resultant models have been encapsulated into a lightweight easy-to-use smartphone application.
Precision Agriculture- By Anjali Patel (IGKV Raipur, C.G)Rahul Raj Tandon
This document discusses precision agriculture and provides definitions, history, concepts, components, applications, advantages, and limitations. Precision agriculture aims to enhance productivity and environmental quality by varying inputs based on spatial and temporal variability. It uses tools like GPS, GIS, remote sensing, yield monitors, and variable rate technology to optimize crop management. While precision agriculture can increase profits and efficiency, its adoption in India faces challenges like cost, infrastructure needs, and farmer education.
Remote sensing and census based assessment and scope for improvement of rice and wheat water productivity in the Indo-Gangetic basin - Xueliang Cai and Bharat Sharma, International Water Management Institute (IWMI), Colombo, Sri Lanka
IRJET- Rainfall-Runoff Analysis of the Watershed for River AIEIRJET Journal
This document summarizes a study analyzing the rainfall-runoff relationship of the Aie River watershed in Bhutan using the Soil and Water Assessment Tool (SWAT) model. Key steps included delineating the watershed boundaries using ASTER DEM data, defining land use and soil types, acquiring meteorological data, running hydrologic simulations from 1995-2014, and analyzing the water balance. The SWAT model effectively simulated the rainfall-runoff dynamics in the ungauged watershed and provided insights into its hydrologic response to precipitation patterns.
Biofuels offer one approach for reducing carbon emissions in transportation. However, the agricultural expansion needed to produce biofuels may endanger tropical forests and thus offset the benefits of fossil fuel substitution. Whether this occurs depends on the extent to which increases in biofuels supply arise from gains in yields per acre or expansion in growing areas. I use a dynamic model of land use to disentangle the roles played by acreage expansion and yield increases in the supply of sugarcane ethanol in Brazil. The model is estimated using a panel of 1.8 million fields, which is built using remote sensing (satellite) information of sugarcane activities. My estimates imply that, at the margin, 94% of new ethanol comes from increases in area planted and only 6% from increases in yield. Direct deforestation accounts for 12% of area expansion. Balancing carbon
emissions from deforestation and the carbon saved by fossil fuel substitution, I find that it would take about 20 years for the lower emissions from sugarcane ethanol to “pay back” the added emissions from deforestation. As an illustrative policy experiment, I
consider the effects of a 5 billion gallon sugarcane ethanol mandate (~ 3% of US gasoline consumption). Such policy would lead to a 1% price increase and deforestation of about 9,000 sq. km. ( ~3/4 the size of Connecticut).
Date: 2015
Author:
Sant'Anna, Marcelo Castello Branco
APPLICATION OF GOAL PROGRAMMING APPROACH ON FINDING AN OPTIMAL LAND ALLOCATIO...orajjournal
Agriculture is the main contribution to the rural economy of Sri Lanka. This study is carried on finding optimal land allocation for cultivation using goal programming approach. Five crops namely Cowpea, Black gram, Finger Millet, Maize and Soya Bean were selected to the study. This land allocation is for
Anuradhapura District since it is the major agricultural district in Sri Lanka. Preemptive Goal Programming method is used in finding the optimal land allocation. Three goals are considered according to their priorities to seek the optimal solution. MS Excel Solver is used to implement the linear model. The
data was collected from Annual Reports of Department of Agriculture. According to the final results obtained by goal programming approach, all five crops are reached their expected production. But the extent in yala(Dry Season) and maha(Rainy Season) season is changed. Overall result shows that new allocation exceeds the production and profit as well as minimizing the production cost. This mathematical
model can easily be used on any other crop in any district by changing the variable coefficients and constraint values
Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...CrimsonpublishersMCDA
The role of energy management is important and essential in sustainability of production systems. The aims of this study were evaluated the impact of different soil tillage on energy use in wheat agroecosystems. To purpose this research was carried on 2014 to 2016 years in research farm of Razi University in western Iran. The result of this study showed that total energy used in NT, RT, and CT systems was 31.39, 32.85, and 35.16GJha-1. In the other hands, production energy in NT, RT, and CT systems was 200.14, 207.68, and 195.26GJha-1. Accordingly, energy use efficiency (EUE) in NT, RT, and CT systems was 6.38, 6.32, and 5.55. Therefore, amount of EUE of different tillage systems followed the order of NT>RT>CT systems. In this research profitability of NT, RT, and CT systems were 3.23, 2.96, and 2.59. This result showed that more use of machinery and operation due to more use of energy resource can be reduced EUE, Net energy and profitability of agroecosystems.
https://crimsonpublishers.com/mcda/fulltext/MCDA.000569.php
For more open access journals in Crimson Publishers please click on link: https://crimsonpublishers.com
For more articles on Agronomy open access journals please click on below link: https://crimsonpublishers.com/mcda/
Smart Village planning for a selected village.
Suggesting basic infrastructures like solar plant, dam, and waste management system.
Performed Economical analysis, Financial Analysis and Environmental Impact Analysis on all three infrastructures.
Rainfall runoff is one of the important hydrological variables in determining land
and water resources application. Curve Number method is widely used and efficient
method to estimate the infiltration characteristic of the watershed in accordance with
the land use/land cover property and soil property. In this study to estimate the
rainfall runoff modeling in this study area with an area of 152.81 sq km using Soil
Conservation Service Curve Number (SCS-CN) method and GIS. The estimated
amount average annual rainfall 1322.29mm from 1999 to 2013.The runoff varied
from 285 mm–4053mm, which is corresponds to 61.6% of annual average rainfall of
Thiruvalur district. These details are used for better watershed management and
conservation purpose.
This document discusses using climate predictions from global climate models (GCMs) for agricultural impact studies. It presents several crop modeling approaches that can be used with downscaled climate data to quantify the impacts of climate change on crops and design effective adaptation strategies. These include the EcoCrop, MaxEnt, DSSAT and GLAM models. The models vary in their complexity and data requirements, but can provide information on changes in crop suitability, yields and impacts under future climate scenarios. The document advocates using ensemble modeling approaches to decrease uncertainties and inform stakeholders about adaptation needs.
1) The document discusses livestock-water interactions in the Gumara watershed of Ethiopia. It assesses livestock water productivity (LWP) under different farming systems and management practices.
2) LWP varies between farming systems and is highest for wealthy farmers who practice early livestock off-take. Collective management of communal grazing lands, with regulated grazing and resting periods, helps sustain pasture quality and reduces runoff and soil loss.
3) Determinants of good pasture condition on communal lands include larger areas of restricted grazing land and lower oxen numbers per village. Proper management of communal grazing resources is important for mixed smallholder systems in water-scarce areas.
Farmers comparative use assessment of wind and electric pump for irrigationeSAT Journals
Abstract
Keta District provides one of the best wind regimes in Ghana and farming is the main occupation of most people in the communities of the district, notably the anloga community.A small size wind pump (1.6m rotor diameter) is currently in operation in Anloga in the Keta District on pilot bases to verify its cost effectiveness compared with the hydro electric power technology. The high electricity tariff paid every month for power consumption deterred majority of the farmers using hydro electricity technology for pumping. A survey conducted revealed that out of about 50 farmers, only 29% engaged in the use of electric power for pumping whilst 69% are still practising the manual method. 2% of the farmers are practising wind energy technology on pilot bases. Farmers in these coastal communities may have engaged in the use of wind energy for water pumping but for its high initial cost.
Keywords: wind, irrigation, electric, rural, development
Pratt_Michelle_Energy Data Analyst_PurdueExtensionMichelle Merlis
1) The document discusses three methods for analyzing the costs and benefits of using cover crops when removing corn stover: benefit-cost analysis, integrated modeling, and farm modeling using linear programming.
2) Results from integrated modeling show that cover crops reduce soil erosion by 0.32 tons/acre on average and allow additional corn stover to be removed.
3) Estimated costs and benefits of various cover crops are provided, with crimson clover having the highest average benefit of $77.73/acre from providing nitrogen and increasing soil organic matter.
Geospatial Science, Technology and Application in Agro-Ecosystem ResearchExternalEvents
Satellite remote sensing approaches along with climate and in-situ observations will accelerate interventions and decision making by understanding the dynamics of the crop production and patterns in space and time. The overarching goal of the study is to develop and demonstrate agri-food informatics, which can provide systemic quantification of the crop productivity and production dynamics. This open access technology provide enhances the ability to identify better management practices for improving system-wide productivity, while reducing environmental impacts and contribute to sustainable and resilient agro-ecosystems.
Precision farming refers to the precise application of agricultural inputs based on soil conditions, weather, and crop needs to improve productivity, quality, and profits. It uses technologies like GPS, GIS, and remote sensing to more efficiently apply inputs and maximize crop yields without pollution. Precision farming allows farmers to do the right activities in the right locations at the right times. It provides benefits over traditional farming through more effective use of resources.
This document describes a data acquisition system and wireless telemetry system for unmanned aerial vehicles participating in the Advanced class of the SAE Aero Design competition. The system uses a laser altimeter and GPS module to measure altitude and location, which are sent via an Arduino microcontroller and XBee modules to a base station laptop. The laptop displays the measurements and has a button to trigger cargo release based on the vehicle's position and trajectory calculations. The system was designed to meet the competition's requirements of long range, low power, accurate measurements, and small size for recording altitude and assisting precise cargo deployment from UAVs.
The document summarizes an experimental investigation into the performance and emissions of a diesel engine fueled with preheated corn oil methyl ester (COME) biodiesel at different temperatures. COME was produced via transesterification of corn oil with methanol. The engine was tested using diesel and blends of preheated COME at 50°C, 70°C, and 90°C. Brake thermal efficiency increased and BSFC decreased with COME preheated to 70°C due to improved combustion from reduced viscosity. Exhaust emissions of CO and HC decreased but NOx increased with COME. Performance generally decreased as the COME percentage in blends rose. Preheating COME to 70°C allowed
This project is about using linear programming method for allocating land and water resources in a district. The equations are solved with the help of MS Excel Solver.
This presentation highlighted the process of developing and progress made in the development of the FR and FB DST.
The site-specific fertilizer recommendation (FR) tool is built to provide an optimized and profitable site-specific fertilizer recommendations for cassava growers. The tool considers the location, soil fertility, weather condition, available fertilizers in the area, prices for fertilizer and cassava root, planned planting and harvest dates and the investment capacity of the farmers.
The nutrient omission trials (NOT) in Nigeria and Tanzania conducted by ACAI, in collaboration with the national research and development partners, show a large variation in nutrient responses indicating the need for site-specific fertilizer recommendation. ACAI is developing a crosscutting system using machine learning techniques coupled with process based crop models, LINTUL and QUEFTS, and economic optimizer algorithms to provide the site-specific recommendations. ACAI is transforming available big data like GIS layers from SoilGrids and weather data from CHIRPS and NASA to useful information that can be used to model the relationship between apparent soil nutrient supply and soil properties. Effort has also been made to identify a generic soil fertility indicator that can be easily obtained from farmers and is useful covariate to improve the accuracy of apparent soil nutrient supply predictions.
The next steps in the FR tool development include, validating the FR tool both functionally, checking if the recommendations outperform the current practices in the field and architecturally, checking user friendliness and if the tool satisfies the needs of development partners to dissemination strategy.
Dry and wet spell analysis of the two rainy seasons for decision support in a...Alexander Decker
This document analyzes rainfall patterns in the central highlands of Ethiopia to support agricultural decision making. It examines 33 years of weather data for a district with two rainy seasons, a shorter season from March to May and a main season from June to September. Markov chain and Weibull frequency models are used to analyze dry and wet spell probabilities at 10-day intervals. The results show the main season has a higher and more reliable probability of sufficient rainfall compared to the shorter season. Rainfall during the main season exceeds crop water needs, making it well-suited for crop production. In contrast, the shorter season suffers from a low probability of adequate rainfall and frequent dry spells, making it unsuitable for major crops.
Multi-objective land-water allocation model for sustainable agriculture with ...Kannapha Amaruchkul
Consider an agricultural land-water resource allocation problem, in which yields are spatial dependent and stochastically correlated. To achieve sustainability, we formulate a multi objective optimization problem, in which the decision maker determines the cultivation areas and the supplemental irrigation water levels at different locations, with social, economic and environmental goals in mind. For the social goal, we minimize the root mean squared difference of incomes among locations. For the economic goal, we minimize the production risk. We show that minimizing production risk is equivalent to maximizing the service level, when demand is normally distributed. For the environmental goal, we minimize the resource utilization. Assume that the yield vector at different locations follows a multivariate normal distribution. We formulate the multi-objective optimization problem using a weight global criterion method, and we provide a sufficient condition for convex quadratic programming. We demonstrate the applicability of our proposed framework in the case study of sugarcane production in Thailand. To capture yield response to water, we propose several models including linear and nonlinear regressions, and we obtain the closed-form expression for the linear and probit yield response models. The numerical experiment reveals that our solution significantly improves the social and economic goals, compared to the current policy. Finally, we illustrate how to apply our model to quantify the monetary value from reducing yield variability, which could be resulted from smart irrigation or precision agriculture.
Global custom-tailored machine learning of soil water content for locale spec...Agriculture Journal IJOEAR
Abstract—A novel approach to irrigation modeling is presented: the locale specific machine learning of soil moisture data. The merits of this new patent pending technique are clear when compared to existing methods, such as the AquaCrop program created by the Food and Agricultural Organization (FAO). From a case study on the comparative performance of AquaCrop and machine learning in the extrapolative modeling of soil moisture, AquaCrop performed with a mean squared error of 0.00165 whereas the machine learning received 0.00013, an order of magnitude lower. In addition, a novel algorithm, the ConserWater™ algorithm, has been created for the purpose of machine learning soil moisture with accuracy and efficiency. The performance of the algorithm is very superior when compared to other popular machine learning techniques, as applied to soil moisture. Finally, to allow this technology to reach agriculturalists at the grassroots level, the entire world has been machine learned and the resultant models have been encapsulated into a lightweight easy-to-use smartphone application.
Precision Agriculture- By Anjali Patel (IGKV Raipur, C.G)Rahul Raj Tandon
This document discusses precision agriculture and provides definitions, history, concepts, components, applications, advantages, and limitations. Precision agriculture aims to enhance productivity and environmental quality by varying inputs based on spatial and temporal variability. It uses tools like GPS, GIS, remote sensing, yield monitors, and variable rate technology to optimize crop management. While precision agriculture can increase profits and efficiency, its adoption in India faces challenges like cost, infrastructure needs, and farmer education.
Remote sensing and census based assessment and scope for improvement of rice and wheat water productivity in the Indo-Gangetic basin - Xueliang Cai and Bharat Sharma, International Water Management Institute (IWMI), Colombo, Sri Lanka
IRJET- Rainfall-Runoff Analysis of the Watershed for River AIEIRJET Journal
This document summarizes a study analyzing the rainfall-runoff relationship of the Aie River watershed in Bhutan using the Soil and Water Assessment Tool (SWAT) model. Key steps included delineating the watershed boundaries using ASTER DEM data, defining land use and soil types, acquiring meteorological data, running hydrologic simulations from 1995-2014, and analyzing the water balance. The SWAT model effectively simulated the rainfall-runoff dynamics in the ungauged watershed and provided insights into its hydrologic response to precipitation patterns.
Biofuels offer one approach for reducing carbon emissions in transportation. However, the agricultural expansion needed to produce biofuels may endanger tropical forests and thus offset the benefits of fossil fuel substitution. Whether this occurs depends on the extent to which increases in biofuels supply arise from gains in yields per acre or expansion in growing areas. I use a dynamic model of land use to disentangle the roles played by acreage expansion and yield increases in the supply of sugarcane ethanol in Brazil. The model is estimated using a panel of 1.8 million fields, which is built using remote sensing (satellite) information of sugarcane activities. My estimates imply that, at the margin, 94% of new ethanol comes from increases in area planted and only 6% from increases in yield. Direct deforestation accounts for 12% of area expansion. Balancing carbon
emissions from deforestation and the carbon saved by fossil fuel substitution, I find that it would take about 20 years for the lower emissions from sugarcane ethanol to “pay back” the added emissions from deforestation. As an illustrative policy experiment, I
consider the effects of a 5 billion gallon sugarcane ethanol mandate (~ 3% of US gasoline consumption). Such policy would lead to a 1% price increase and deforestation of about 9,000 sq. km. ( ~3/4 the size of Connecticut).
Date: 2015
Author:
Sant'Anna, Marcelo Castello Branco
APPLICATION OF GOAL PROGRAMMING APPROACH ON FINDING AN OPTIMAL LAND ALLOCATIO...orajjournal
Agriculture is the main contribution to the rural economy of Sri Lanka. This study is carried on finding optimal land allocation for cultivation using goal programming approach. Five crops namely Cowpea, Black gram, Finger Millet, Maize and Soya Bean were selected to the study. This land allocation is for
Anuradhapura District since it is the major agricultural district in Sri Lanka. Preemptive Goal Programming method is used in finding the optimal land allocation. Three goals are considered according to their priorities to seek the optimal solution. MS Excel Solver is used to implement the linear model. The
data was collected from Annual Reports of Department of Agriculture. According to the final results obtained by goal programming approach, all five crops are reached their expected production. But the extent in yala(Dry Season) and maha(Rainy Season) season is changed. Overall result shows that new allocation exceeds the production and profit as well as minimizing the production cost. This mathematical
model can easily be used on any other crop in any district by changing the variable coefficients and constraint values
Soil Tillage Systems Impact on Energy Use Pattern and Economic Profitability ...CrimsonpublishersMCDA
The role of energy management is important and essential in sustainability of production systems. The aims of this study were evaluated the impact of different soil tillage on energy use in wheat agroecosystems. To purpose this research was carried on 2014 to 2016 years in research farm of Razi University in western Iran. The result of this study showed that total energy used in NT, RT, and CT systems was 31.39, 32.85, and 35.16GJha-1. In the other hands, production energy in NT, RT, and CT systems was 200.14, 207.68, and 195.26GJha-1. Accordingly, energy use efficiency (EUE) in NT, RT, and CT systems was 6.38, 6.32, and 5.55. Therefore, amount of EUE of different tillage systems followed the order of NT>RT>CT systems. In this research profitability of NT, RT, and CT systems were 3.23, 2.96, and 2.59. This result showed that more use of machinery and operation due to more use of energy resource can be reduced EUE, Net energy and profitability of agroecosystems.
https://crimsonpublishers.com/mcda/fulltext/MCDA.000569.php
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Smart Village planning for a selected village.
Suggesting basic infrastructures like solar plant, dam, and waste management system.
Performed Economical analysis, Financial Analysis and Environmental Impact Analysis on all three infrastructures.
Rainfall runoff is one of the important hydrological variables in determining land
and water resources application. Curve Number method is widely used and efficient
method to estimate the infiltration characteristic of the watershed in accordance with
the land use/land cover property and soil property. In this study to estimate the
rainfall runoff modeling in this study area with an area of 152.81 sq km using Soil
Conservation Service Curve Number (SCS-CN) method and GIS. The estimated
amount average annual rainfall 1322.29mm from 1999 to 2013.The runoff varied
from 285 mm–4053mm, which is corresponds to 61.6% of annual average rainfall of
Thiruvalur district. These details are used for better watershed management and
conservation purpose.
This document discusses using climate predictions from global climate models (GCMs) for agricultural impact studies. It presents several crop modeling approaches that can be used with downscaled climate data to quantify the impacts of climate change on crops and design effective adaptation strategies. These include the EcoCrop, MaxEnt, DSSAT and GLAM models. The models vary in their complexity and data requirements, but can provide information on changes in crop suitability, yields and impacts under future climate scenarios. The document advocates using ensemble modeling approaches to decrease uncertainties and inform stakeholders about adaptation needs.
1) The document discusses livestock-water interactions in the Gumara watershed of Ethiopia. It assesses livestock water productivity (LWP) under different farming systems and management practices.
2) LWP varies between farming systems and is highest for wealthy farmers who practice early livestock off-take. Collective management of communal grazing lands, with regulated grazing and resting periods, helps sustain pasture quality and reduces runoff and soil loss.
3) Determinants of good pasture condition on communal lands include larger areas of restricted grazing land and lower oxen numbers per village. Proper management of communal grazing resources is important for mixed smallholder systems in water-scarce areas.
Farmers comparative use assessment of wind and electric pump for irrigationeSAT Journals
Abstract
Keta District provides one of the best wind regimes in Ghana and farming is the main occupation of most people in the communities of the district, notably the anloga community.A small size wind pump (1.6m rotor diameter) is currently in operation in Anloga in the Keta District on pilot bases to verify its cost effectiveness compared with the hydro electric power technology. The high electricity tariff paid every month for power consumption deterred majority of the farmers using hydro electricity technology for pumping. A survey conducted revealed that out of about 50 farmers, only 29% engaged in the use of electric power for pumping whilst 69% are still practising the manual method. 2% of the farmers are practising wind energy technology on pilot bases. Farmers in these coastal communities may have engaged in the use of wind energy for water pumping but for its high initial cost.
Keywords: wind, irrigation, electric, rural, development
Pratt_Michelle_Energy Data Analyst_PurdueExtensionMichelle Merlis
1) The document discusses three methods for analyzing the costs and benefits of using cover crops when removing corn stover: benefit-cost analysis, integrated modeling, and farm modeling using linear programming.
2) Results from integrated modeling show that cover crops reduce soil erosion by 0.32 tons/acre on average and allow additional corn stover to be removed.
3) Estimated costs and benefits of various cover crops are provided, with crimson clover having the highest average benefit of $77.73/acre from providing nitrogen and increasing soil organic matter.
Geospatial Science, Technology and Application in Agro-Ecosystem ResearchExternalEvents
Satellite remote sensing approaches along with climate and in-situ observations will accelerate interventions and decision making by understanding the dynamics of the crop production and patterns in space and time. The overarching goal of the study is to develop and demonstrate agri-food informatics, which can provide systemic quantification of the crop productivity and production dynamics. This open access technology provide enhances the ability to identify better management practices for improving system-wide productivity, while reducing environmental impacts and contribute to sustainable and resilient agro-ecosystems.
Precision farming refers to the precise application of agricultural inputs based on soil conditions, weather, and crop needs to improve productivity, quality, and profits. It uses technologies like GPS, GIS, and remote sensing to more efficiently apply inputs and maximize crop yields without pollution. Precision farming allows farmers to do the right activities in the right locations at the right times. It provides benefits over traditional farming through more effective use of resources.
This document describes a data acquisition system and wireless telemetry system for unmanned aerial vehicles participating in the Advanced class of the SAE Aero Design competition. The system uses a laser altimeter and GPS module to measure altitude and location, which are sent via an Arduino microcontroller and XBee modules to a base station laptop. The laptop displays the measurements and has a button to trigger cargo release based on the vehicle's position and trajectory calculations. The system was designed to meet the competition's requirements of long range, low power, accurate measurements, and small size for recording altitude and assisting precise cargo deployment from UAVs.
The document summarizes an experimental investigation into the performance and emissions of a diesel engine fueled with preheated corn oil methyl ester (COME) biodiesel at different temperatures. COME was produced via transesterification of corn oil with methanol. The engine was tested using diesel and blends of preheated COME at 50°C, 70°C, and 90°C. Brake thermal efficiency increased and BSFC decreased with COME preheated to 70°C due to improved combustion from reduced viscosity. Exhaust emissions of CO and HC decreased but NOx increased with COME. Performance generally decreased as the COME percentage in blends rose. Preheating COME to 70°C allowed
This document summarizes a research paper that presents a dual open stub loaded square microstrip antenna (DOSMSA) for quad-band wireless communication applications. The DOSMSA consists of a square patch with two open stubs placed diagonally. Measurements show the DOSMSA operates over four bands from 2.88-8.55 GHz with gains up to 3.21 dB, compared to 0.8 dB for a basic square microstrip antenna. The DOSMSA design achieves quad-band operation using a simple stub loading technique while reducing the antenna's copper area by 7.8% compared to the basic design. The antenna has broadside radiation patterns and could enable applications in WLAN and WiMAX
The techniques and methods adopted in the medical college libraries locatedIAEME Publication
This document summarizes a study on the techniques and methods adopted in medical college libraries located in southern Karnataka, India. It finds that while the libraries generally meet basic needs, there is room for improvement in adapting new tools and techniques, training librarians, increasing staff and resources, and enhancing user services. For example, over 60% of libraries lacked dedicated IT staff, many librarians lacked computer training, and several libraries had collections and facilities below Medical Council of India standards. The study provides benchmarks for improving medical college libraries in the region.
This document summarizes a research paper that presents a novel U-slot loaded circular microstrip antenna design for triple band operation. Key points:
- The antenna is designed to operate between 5.57-8.34 GHz with a maximum bandwidth of 10.34% and peak gain of 1.85 dB.
- It uses a low-cost glass epoxy substrate and a simple fabrication process.
- Experimental results show the antenna achieves triple band operation through the addition of a U-shaped slot on the circular patch and an H-shaped slot on the ground plane.
- Radiation patterns were broadside and linearly polarized across the operating bands.
- The simple design makes this
An experimental study is conducted to determine the thermal output of a closed enclosure containing two cylindrical tubes through which biomass is burned. Temperature and energy measurements are taken at various points in the system. Convection and radiation are found to account for 33% of the total energy contained in the fuel wood, representing the useful thermal energy for applications like drying. Mathematical models are developed to describe the thermal energy flows and efficiency of the heat exchanger system.
This document summarizes a research paper on adding error resilience to test data compression techniques for IP core-based system-on-chips (SoCs). It discusses how bit flips in compressed test data can reduce fault coverage and yield. The document proposes adding parity bits to compressed test vectors to detect and correct errors, similar to parity checking for data transmission. This allows erroneous test data to be retransmitted without loss of synchronization or fault coverage. The method aims to improve on existing approaches that only avoid error propagation between test vectors.
This document summarizes a research paper on a two element U-slot loaded circular microstrip array antenna designed for dual band wireless local area network (WLAN) applications. The antenna was fabricated on a glass epoxy substrate measuring 9 x 5 x 0.16 cm3. Testing showed it achieved a maximum bandwidth of 44.9% between 4.37-6.9 GHz and was able to reduce the size of the antenna by 6.01% while maintaining a peak gain of 5.24 dB. Analysis of the radiation patterns found it exhibited broadside and linearly polarized radiation characteristics. The proposed antenna design was concluded to be simple, low-cost, and suitable for WLAN communication systems.
AN OVERVIEW OF INTEGRATED THEORY OF IRRIGATION EFFICIENCY AND UNIFORMITY AND ...Venkataraju Badanapuri
The irrigation efficiency, crop water use efficiency, and irrigation uniformity evaluation terms that are relevant to irrigation systems and management practices currently used in India, and around the world. The definitions and equations described can be used by crop consultants, irrigation district personnel, and university, state, and private agency personnel to evaluate how efficiently irrigation water is applied and/or used by the crop, and can help to promote better or improved use of water resources in agriculture. As available water resources become scarcer, more emphasis is given to efficient use of irrigation water for maximum economic return and water resources sustainability.
IRJET- Evaluation of Furrow Irrigation Systems on Onion Yield and Water U...IRJET Journal
This document evaluates different furrow irrigation systems on onion yield and water use efficiency in Ethiopia. It finds that alternate furrow irrigation can save 20% of irrigation water applied compared to conventional furrow irrigation, while fixed furrow irrigation saves 30%. Alternate furrow irrigation results in higher water use efficiency and economic return relative to the other systems in both study years. The study concludes that farmers can practice alternate furrow irrigation, which saves water while achieving maximum yields compared to conventional furrow irrigation.
IRJET- Evaluation of Irrigation Regime on Tomato in Mareko Woreda, Gurage Zon...IRJET Journal
This study evaluated the effects of different irrigation regimes on tomato yield in Mareko Woreda, Ethiopia. Four irrigation treatments were tested: 125% of management allowed depletion (MAD), 100% MAD, 75% MAD, and farmer practice. The combined yield results over two years showed no significant differences in non-marketable, marketable, or total yields between treatments. Maximum water productivity of 4.9 kg/m3 was obtained with 100% MAD, while minimum productivity of 4 kg/m3 was from 125% MAD. It is concluded that applying irrigation at 100% MAD provides better yield and water productivity while minimizing irrigation frequency and labor costs.
Evaluation of Irrigation Application Efficiency: Case Study of Chanchaga Irri...AZOJETE UNIMAID
This document evaluates the irrigation application efficiency of the Chanchaga irrigation scheme in Minna, Niger state, Nigeria. Soil samples were collected before and after irrigation and analyzed to determine moisture content using a gravimetric method. The moisture content before irrigation ranged from 46.4-46.8% and increased to 51.1-51.5% after irrigation, showing a 4.68% increase on average. Based on these results, the calculated average water application efficiency was 66.76%, indicating about 33.24% of applied water was lost. While factors like irrigation system and farmer skill impact efficiency, the results obtained were deemed adequate given the local management practices. The study concluded the efficiency obtained is sufficient and the scheme
EVALUATION OF IRRIGATION APPLICATION EFFICIENCY: CASE STUDY OF CHANCHAGA IRRI...Oyeniyi Samuel
This document evaluates the irrigation application efficiency of the Chanchaga irrigation scheme in Minna, Niger state, Nigeria. Soil samples were collected before and after irrigation and analyzed to determine moisture content using a gravimetric method. The moisture content before irrigation ranged from 46.4-46.8% and increased to 51.1-51.5% after irrigation, showing a 4.68% increase on average. Based on these results, the calculated average water application efficiency was 66.76%, indicating about 33.24% of applied water was lost. While factors like irrigation system and farmer skill impact efficiency, the results obtained were deemed adequate given the local management practices. The study concluded the evaluated efficiency is sufficient for the irrigation
The document describes a study on optimal crop planning for a diversion scheme project in Mahaboobnagar, Andhra Pradesh, India.
It formulates three single objective functions for a multi-crop model with two seasons - maximizing net benefits, minimizing costs, and minimizing water usage. Constraints include available water, land, and investment costs. The study area, Rajolibanda Diversion scheme, provides irrigation to around 60,000 acres.
Linear programming is used to optimize crop area allocation and maximize annual net benefits. The results reveal optimization can significantly improve agricultural production and economic returns from the project by determining the best crop planting areas.
Sustainability of Pod Yields of Groundnut through Crop Seasonal Rainfall, Len...IIJSRJournal
A study was conducted with the objective of assessing the effect of crop seasonal rainfall and length of growing period on the sustainability of pod yields of groundnut attained in 31 mandals under arid Alfisols of Anantapur in Andhra Pradesh. We have considered the variability of mandals with regard to (i) crop seasonal rainfall (mm) and (ii) pod yield of groundnut (kg/ha) during 2001 to 2020; (iii) extent of crop area (ha) during 2009 to 2020; and (iv) length of growing period (days). Based on the mean and standard deviation (SD) of each parameter, the mandals were classified into 5 groups viz., (i) G1: Less than (Mean–2SD); (ii) G2: (Mean–2SD) to (Mean–SD); (iii) G3: (Mean–SD) to (Mean+SD); (iv) G4: (Mean+SD) to (Mean+2SD); and (v) G5: More than (Mean+2SD). Out of 31 mandals, 22 mandals for area and crop seasonal rainfall, 20 mandals for LGP and 18 mandals for yield have fallen in G3. Estimates of correlation were derived between groundnut area, crop seasonal rainfall and yield for each mandal over years and tested for significance to assess the superiority of mandals. Significant correlation of yield and crop seasonal rainfall was observed which ranged from 0.433 at Kalyandurg to 0.765 at Putlur. Similarly, significant correlation between yield and area of groundnut was observed in Kalyandurg (-0.764), Brahmasamudram (-0.674) and Rapthadu (-0.584) mandals. The predictability of yield and prediction error were derived based on a regression model of yield calibrated through the crop seasonal rainfall, LGP and crop area in different mandals. The model gave significant predictability (R2) value of 0.46 with prediction error of 90.9 kg/ha and indicated negative effect of area, positive effect of crop seasonal rainfall and LGP on yield. The sustainability yield index ranged from 26.6% (Kambadur) to 87.5% (Peddavadagur) with mean of 53.9% (CV of 30.1%) over years. Ranks were assigned to the mean and variation of area, crop seasonal rainfall, yield, LGP and SYI of each mandal and rank sums were derived. Guntakal, Gooty and Vidapanakal were superior with rank sums of 30, 38 and 70 respectively. Guntakal was superior with an area of 16570 ha (CV of 17.3%), crop seasonal rainfall of 436.1 mm (CV of 33.4%), LGP of 140 days, yield of 644 kg/ha (CV of 70.9%) and SYI of 76.5%, while Gooty was superior with area of 14146 ha (CV of 14.6%), crop seasonal rainfall of 429.6 mm (CV of 42.4%), LGP of 140 days, yield of 663 kg/ha (CV of 69.1%) and SYI of 79.1%. Similarly, Vidapanakal was superior with area of 5077 ha (CV of 31.1%), crop seasonal rainfall of 403.2 mm (CV of 47.4%), LGP of 140 days, yield of 654 kg/ha (CV of 49.5%) and SYI of 77.9%. Due to maximum LGP and crop seasonal rainfall, we recommend that the farmers of these mandals could enhance the area of groundnut and attain maximum sustainable yields under arid Alfisols.
Research paper Pressur tube emmiter Anlaysis ofmicrotube emitter of trickle...Col Islam Ul Haq
This document analyzes the uniformity of application and pressure variation of microtube emitters in a trickle irrigation system installed on 1.2 acres of citrus orchard in Pakistan. The study found that the discharge of microtube emitters varied from 15.67 to 8.67 L/h under pressure heads of 10.56 to 7 m when the system was operated at 10.54 m pressure head. Water application uniformity was above 80%, indicating proper system design and dimensions. Pressure variation along laterals caused a 2.03 m drop in one block and 2.4 m drop in another. Coefficient of variation for pressure was 12% in one block and 27% in the other.
3 comparison of actual release schedule and optimalprjpublications
This document summarizes a study that developed a yield model using linear programming to optimize reservoir operations for the Isapur reservoir in India. The study aimed to calculate the optimal irrigation yield and compare it to actual irrigation releases. A linear programming model was formulated to maximize reservoir yield subject to water balance constraints. The model estimated over-year and within-year storage requirements separately. The results were analyzed to compare optimal yields from the model to actual historical irrigation releases and draw conclusions about reservoir performance.
This document presents a study that developed a linear programming yield model to optimize reservoir operations for the Isapur reservoir in India. The yield model was used to calculate the optimal annual irrigation yield from the reservoir under different reliability targets. The model considered factors like monthly inflows, irrigation demands, and evaporation losses. The actual irrigation releases from the reservoir over 28 years were also collected. The yield model results were then compared to the actual historical releases to evaluate how well the model performed and identify opportunities to improve reservoir operations. Key findings and conclusions from this comparison are presented.
Performance evaluation of sprinkler irrigation system in Matimba irrigation s...IRJET Journal
The document summarizes a study that evaluated the performance of a sprinkler irrigation system in Matimba, Rwanda. Catch can tests were conducted on 110 hectares of maize under the system. Key findings were that the distribution uniformity was 84%, coefficient of uniformity was 86%, and delivery performance ratio was 0.9, indicating overall satisfactory system performance. However, regular maintenance and controlling silt buildup were recommended to improve performance further.
This document analyzes rainfall occurrences, deficits, and surpluses over 33 years in Bishoftu District, Ethiopia to inform agricultural planning. It finds:
1) The main rainy season (June-September) has more stable rainfall distributions compared to the shorter rainy season (March-May), which experiences high rainfall variability.
2) Rainfall is generally sufficient during the main rainy season based on probability analyses, but the shorter rainy season often experiences rainfall deficits.
3) Most decades during the main rainy season have rainfall amounts well above the threshold for crop water requirements, while the shorter rainy season generally has amounts below the threshold.
4) Rainfall harvesting during
This document assesses the economic viability of furrow (surface) irrigation and sprinkler irrigation in Chaar-Ghare, Nepal. It finds that sprinkler irrigation requires less water than furrow irrigation but results in higher crop yields. Specifically:
- A study was conducted of different irrigation methods used to grow crops like tomatoes, onions, garlic, and corn in Chaar-Ghare.
- Furrow irrigation is currently most common but uses more water than sprinkler irrigation due to lower efficiency.
- The study calculated water requirements under different scenarios and found sprinkler irrigation requires around 1.5 times less water than furrow irrigation to grow the same crops.
- Based on the water usage and
Need to replace Furrow Irrigation system by Drip Irrigation system to Improve...ijsrd.com
The Aim of this paper is to replace furrow Irrigation system by Drip irrigation system to improve qualitative parameters of cotton crop at its different physiological stages. (Germination, Initial Vegetative, Flowering, Boll development and Maturity).As we are knowing furrow irrigation system requires more water than drip irrigation system. Our region is affected with drought once in every four year. Cotton crop needs continuous water for duration of 140 to 160 days in between May to October. In month of May and June water table is going down and all Water resources are at its bottom level during season of summer.
Sustainable Water Management by Conjunctive use of Ground and Surface Water o...IRJET Journal
This document discusses sustainable water management through conjunctive use of surface and groundwater in the Left Bank Canal of Ghataprabha Command area in Karnataka, India. It finds that crop water demand exceeds available surface water. It proposes a new cropping pattern focusing on crops that require less water like maize, wheat, and general crops. The total water requirement of the proposed pattern is estimated to be 290.975 MCM, which can be met through conjunctive use of surface and groundwater. A cost-benefit analysis indicates the proposed approach would increase yields, produce value, and efficient water management compared to current practices.
performance evaluation and characterization of wetted soil parameters of impr...IJEAB
Field study was conducted to evaluate the emission uniformity (EU), global coefficient of variation (CGv), emitter flow variation (Qvar) and distribution uniformity (DU), and determine the wetted radius (rw) on soil surface of improvised medi-emitters installed in a tomato field. Soil water content (SWC) at four layers was determined after different periods of irrigation. Radius of wetted soil surface was determined and predicted. Irrigation frequency had no significant effect on the average discharge rate of the medi-emitters throughout the growing cycle. Average Qvar and CGv were significantly (P=0.05) influenced by the frequency of application while the EU and DU did not significantly (P=0.05) differ among the treatments. There were significant differences in the average values of SWC in different soil layers under the different periods of irrigation. Both the observed and calculated rw on the soil surface were fitted with fourth order polynomial. The model performance parameters of MAE and RMSE between the calculated and observed radii were low, indicating good prediction. Medical infusion set can successfully replace the more expensive conventional emitters for drip irrigation system.
This document summarizes a study on variations in water productivity in the Lower Bhavani Project area in Tamil Nadu, India using a GIS-based crop model. Water productivity, defined as crop yield per unit of irrigation water, was simulated for different crops using the GEPIC model. Water quality samples were also collected from two distributaries and analyzed for parameters like pH, EC, chlorine. The study found higher water productivity for sugarcane in the tail-head reach compared to other locations, indicating variations based on factors like irrigation management, fertilizer use, and water quality. Water quality analysis showed irrigation water in the area is suitable for agriculture.
This document summarizes the use of the FAO AquaCrop model to simulate brinjal crop growth and yield under surface irrigation. Key findings include:
1) The AquaCrop model was able to predict potential evapotranspiration and brinjal yield with acceptable accuracy for conditions in Allahabad, India.
2) Surface irrigation provided the highest brinjal yields and is recommended for the region.
3) The AquaCrop model can be used to access brinjal growth and yield without field experiments and generate irrigation schedules.
Abstract
Water is vital to all forms of life on the Earth, from plants through to animals and humankind. Lack of access to fresh drinking water is one of the major and important constraints to health and development in many countries. Rainwater harvesting refers to the collection and storage of rain. It is still popular in places with limited water resources. Recent drought in a rainy climate throughout the world remind how quickly other countries can run short of water. Since Malaysia has high rainfall intensity, it does not means that Malaysian should not worry about scarcity of water supply. Even the annual rainfall is high and sufficient enough to be consumed, most of the rainwater tend to flow away. The environmental issue such as flooding, global warming and pollution are getting serious day by day due to a rapid development processes in Malaysia. To pursue the need for a more sustainable development, it is possible to implement rainwater harvesting which has been recognized as one of the innovative solutions as an alternative water supply for non-, portable purposes. Designing water harvesting systems into new construction allows the homeowner to be more elaborate and thorough in developing a system. In the case of very simple systems, the payback period may be almost immediate. The objective of this study is to estimate the potential of rainfall to be stored for domestic use and design the rainwater harvesting system using gravitational force suitable for the selected house in Kota Samarahan area. It has been shown that the rainwater harvesting system can support the water demand of the selected house throughout a year even during the dry season. The cost of installation and yearly maintenance for proposed rainwater harvesting is lowered by 59.16 percent as compared with similar rainwater system which is installed on the ground level.
Keywords: Water, Rainwater harvesting, Water harvesting system, Demand and Storage capacity
Watershed Management in arid and semiarid region by Utility Factor in Fuzzy E...IRJET Journal
This document presents a study on developing an optimal cropping pattern model for arid and semi-arid regions using fuzzy linear programming. The model aims to maximize returns from available land and water resources by assigning utility values to crops. The model formulates constraints for irrigation intensity, land availability, and water supply. Cost coefficients for crops are fuzzified to determine utility values. The optimal cropping pattern is selected based on maximizing total utility. The model is applied to the Jayakwadi project region in Maharashtra, India to determine the cropping pattern that provides maximum net benefit under available resources.
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.