This document summarizes a study that assessed agricultural drought in the semi-arid Buldhana District of India from 2011-2021 using the Normalized Difference Vegetation Index (NDVI) and Standard Precipitation Index (SPI). The study used remote sensing data from MODIS and CHIRPS rainfall data to calculate monthly NDVI and 1-month SPI over the 10-year period. The results indicate that NDVI and SPI are reliable indices for monitoring and assessing agricultural drought by revealing spatial and temporal patterns of drought conditions. The study aims to help inform policymaking and drought risk mitigation in the water-scarce region.
IRJET- Meteorological Drought Intensity Assessment using Standardized Precipi...IRJET Journal
- The study assesses drought intensity in the Bundelkhand region of Uttar Pradesh, India using the Standardized Precipitation Index (SPI).
- Monthly rainfall data from 1988 to 2018 was collected for 6 districts and 3-month and 6-month SPI values were calculated using DrinC software to categorize drought severity.
- Results show that droughts, ranging from mild to extreme, have frequently occurred in the region based on the SPI classifications over the 30-year period.
A review of some indices used for drought studiesAlexander Decker
This document provides an overview of several drought indices used to study drought, including their strengths and weaknesses. It discusses the Deciles Index, Percent of Normal, and Standardized Precipitation Index. The Deciles Index divides rainfall data into tenths to classify drought levels. Percent of Normal compares actual rainfall to a 30-year average but does not account for non-normal rainfall distributions. The Standardized Precipitation Index can be calculated at different time scales to assess impacts on water resources and provide early drought warnings. Indices are useful tools but require sufficient rainfall data and have various limitations.
A review of some indices used for drought studiesAlexander Decker
This document provides an overview of several drought indices used to study drought, including their strengths and weaknesses. It discusses the Deciles Index, Percent of Normal, and Standardized Precipitation Index. The Deciles Index divides rainfall data into tenths to classify drought levels. Percent of Normal compares actual rainfall to a 30-year average but does not account for non-normal rainfall distributions. The Standardized Precipitation Index can be calculated at different time scales to assess impacts on water resources and provide early drought warnings. Indices are useful tools but require sufficient rainfall data and have various limitations.
Towards Climate Change Resilient of Hail Haor, Sylhet: Reviewing the Role of ...IOSR Journals
This document analyzes long-term vegetation trends in northeastern Iraq from 2000 to 2010 using MODIS satellite imagery to calculate the Normalized Difference Vegetation Index (NDVI). NDVI values were highest in 2001, 2003, and 2001 for Mosul, Kirkuk, and Salah al-Din respectively, and lowest in 2008 for all three areas. NDVI showed strong positive correlations with rainfall, indicating vegetation health is closely tied to precipitation patterns. Periods of low rainfall like 2008-2009 caused declines in NDVI, highlighting losses to soil quality and agricultural productivity during drought conditions. The study demonstrates the utility of NDVI for monitoring drought impacts on vegetation over time in Iraq.
A REVIEW ON GROUND WATER FLUCTUATIONS BEFORE AND AFTER COVID-19 ERA USING SPA...IRJET Journal
1) The document reviews groundwater fluctuations in the Pune Region of India before and after the COVID-19 pandemic using spatial data.
2) Data on groundwater levels was obtained from government agencies and analyzed using remote sensing and GIS tools to identify patterns of depletion and recharge.
3) Factors like geology, soil types, elevation, and land use changes that influence groundwater were examined, and groundwater levels were found to generally be declining in the study area.
drought monitoring and management using remote sensingveerendra manduri
Monitoring drought and its management became easier with the help of remote sensing..several drought monitoring indices can be used to monitor drought condition. this ppt consists of information regarding droughts in relation to agriculture and their monitoring with the help of remotely sense based indices.
This document analyzes drought severity in the Vaijapur region of Maharashtra, India using the Temperature Condition Index (TCI) derived from Landsat 8 Thermal Infrared Sensor (TIRS) data. It first provides background on drought, remote sensing, and the Landsat 8 satellite. It then describes the study area of Vaijapur and the meteorological and satellite datasets used. The methodology discusses preprocessing Landsat 8 images using ATCOR, extracting the TCI index, and analyzing rainfall and temperature data. Results show that TCI values in 2013 and 2014 were below normal ranges due to low rainfall, indicating crop stress. The document concludes that Landsat 8 TIRS data can effectively identify drought severity at
IRJET- Meteorological Drought Intensity Assessment using Standardized Precipi...IRJET Journal
- The study assesses drought intensity in the Bundelkhand region of Uttar Pradesh, India using the Standardized Precipitation Index (SPI).
- Monthly rainfall data from 1988 to 2018 was collected for 6 districts and 3-month and 6-month SPI values were calculated using DrinC software to categorize drought severity.
- Results show that droughts, ranging from mild to extreme, have frequently occurred in the region based on the SPI classifications over the 30-year period.
A review of some indices used for drought studiesAlexander Decker
This document provides an overview of several drought indices used to study drought, including their strengths and weaknesses. It discusses the Deciles Index, Percent of Normal, and Standardized Precipitation Index. The Deciles Index divides rainfall data into tenths to classify drought levels. Percent of Normal compares actual rainfall to a 30-year average but does not account for non-normal rainfall distributions. The Standardized Precipitation Index can be calculated at different time scales to assess impacts on water resources and provide early drought warnings. Indices are useful tools but require sufficient rainfall data and have various limitations.
A review of some indices used for drought studiesAlexander Decker
This document provides an overview of several drought indices used to study drought, including their strengths and weaknesses. It discusses the Deciles Index, Percent of Normal, and Standardized Precipitation Index. The Deciles Index divides rainfall data into tenths to classify drought levels. Percent of Normal compares actual rainfall to a 30-year average but does not account for non-normal rainfall distributions. The Standardized Precipitation Index can be calculated at different time scales to assess impacts on water resources and provide early drought warnings. Indices are useful tools but require sufficient rainfall data and have various limitations.
Towards Climate Change Resilient of Hail Haor, Sylhet: Reviewing the Role of ...IOSR Journals
This document analyzes long-term vegetation trends in northeastern Iraq from 2000 to 2010 using MODIS satellite imagery to calculate the Normalized Difference Vegetation Index (NDVI). NDVI values were highest in 2001, 2003, and 2001 for Mosul, Kirkuk, and Salah al-Din respectively, and lowest in 2008 for all three areas. NDVI showed strong positive correlations with rainfall, indicating vegetation health is closely tied to precipitation patterns. Periods of low rainfall like 2008-2009 caused declines in NDVI, highlighting losses to soil quality and agricultural productivity during drought conditions. The study demonstrates the utility of NDVI for monitoring drought impacts on vegetation over time in Iraq.
A REVIEW ON GROUND WATER FLUCTUATIONS BEFORE AND AFTER COVID-19 ERA USING SPA...IRJET Journal
1) The document reviews groundwater fluctuations in the Pune Region of India before and after the COVID-19 pandemic using spatial data.
2) Data on groundwater levels was obtained from government agencies and analyzed using remote sensing and GIS tools to identify patterns of depletion and recharge.
3) Factors like geology, soil types, elevation, and land use changes that influence groundwater were examined, and groundwater levels were found to generally be declining in the study area.
drought monitoring and management using remote sensingveerendra manduri
Monitoring drought and its management became easier with the help of remote sensing..several drought monitoring indices can be used to monitor drought condition. this ppt consists of information regarding droughts in relation to agriculture and their monitoring with the help of remotely sense based indices.
This document analyzes drought severity in the Vaijapur region of Maharashtra, India using the Temperature Condition Index (TCI) derived from Landsat 8 Thermal Infrared Sensor (TIRS) data. It first provides background on drought, remote sensing, and the Landsat 8 satellite. It then describes the study area of Vaijapur and the meteorological and satellite datasets used. The methodology discusses preprocessing Landsat 8 images using ATCOR, extracting the TCI index, and analyzing rainfall and temperature data. Results show that TCI values in 2013 and 2014 were below normal ranges due to low rainfall, indicating crop stress. The document concludes that Landsat 8 TIRS data can effectively identify drought severity at
Drought Risk Analysis, Forecasting and Assessment.pdfssuser3f22f9
Climate change is undoubtedly one of the world’s biggest challenges in the 21st century.
Drought risk analysis, forecasting and assessment are facing rapid expansion, not only from theoretical
but also practical points of view. Accurate monitoring, forecasting and comprehensive assessments
are of the utmost importance for reliable drought-related decision-making. The framework of drought
risk analysis provides a unified and coherent approach to solving inference and decision-making
problems under uncertainty due to climate change, such as hydro-meteorological modeling, drought
frequency estimation, hybrid models of forecasting and water resource management. This Special
Issue will provide researchers with a summary of the latest drought research developments in order to
identify and understand the profound impacts of climate change on drought risks and water resources.
The ten peer-reviewed articles collected in this Special Issue present novel drought monitoring
and forecasting approaches, unique methods for drought risk estimation and creative frameworks
for environmental change assessment. These articles will serve as valuable references for future
drought-related disaster mitigations, climate change interconnections and food productivity impacts.
IRJET- Review on Drought Risk Assessment by using Remote Sensing and GISIRJET Journal
This document summarizes a study that assessed drought risk using remote sensing and GIS. Satellite-derived NDVI data and ground-based precipitation data were analyzed over a 10-year period. Correlations between NDVI, standardized precipitation index (SPI), rainfall anomaly, and food grain anomaly were performed. Results showed SPI can indicate regional crop production. NDVI, SPI, and detrended food grain yield anomaly were linearly correlated, indicating they can efficiently monitor and evaluate food grain output. Different data sources were analyzed spatially and temporally to classify drought risk into very high, high, moderate, slight, and no risk categories based on regression analyses between precipitation, NDVI, and crop yields. The integrated approach aimed to properly deline
IRJET- Identification of Ground Water Contamination Sources in City Envir...IRJET Journal
1) The document discusses using GIS and remote sensing techniques to identify sources of groundwater contamination in urban environments.
2) Water samples were collected from various locations around Madurai District, India and analyzed for parameters like pH, hardness, chlorine, etc.
3) An interpolation technique was used to create groundwater quality maps from the sample data and visualize spatial patterns of water quality.
Assessment of Drought Occurrence in Kano State, Nigeriaijtsrd
Drought occurrence is caused by the breaking of water balance, which usually leads to negative impact on agriculture, as well as ecological and socio economic spheres. The main purpose of the current study is to conduct drought assessment over Kano State, Nigeria for 2018. We used two different drought indices including Standardized Precipitation Index SPI and the Normalized Difference Vegetation Index NDVI . Meteorological data on precipitation was used to compute the Standardized Precipitation Index, and Normalized Difference Vegetation Index was generated from MODIS NDVI data sets. The conventional SPI classification scheme which categorize drought under seven groups was used along with the NDVI values which ranges from 1 to 1. Results indicate a near normal condition in the study area. Ezekiel. O. Eguaroje | Thomas. U. Omali | Kebiru Umoru ""Assessment of Drought Occurrence in Kano State, Nigeria"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020, URL: https://www.ijtsrd.com/papers/ijtsrd29976.pdf
Paper Url : https://www.ijtsrd.com/other-scientific-research-area/enviormental-science/29976/assessment-of-drought-occurrence-in-kano-state-nigeria/ezekiel-o-eguaroje
Impact of Land-use and Land-cover Change Dynamics on Flooding: A Case Study o...IRJET Journal
The document analyzes changes in land use and land cover (LULC) in the Ramakrishnapuram and Safilguda Lake watersheds in Hyderabad, India between 1997 and 2016 using remote sensing. Significant conversions from vegetated areas to built-up areas reduced green space and increased impervious surfaces. This exacerbated flooding in some areas by increasing surface runoff volumes. Analysis of satellite imagery showed declines in vegetated land from 134.59 hectares to 17.95 hectares and losses of non-perennial water bodies. Residential development expanded due to population growth and migration, leading to more compact urban areas over time.
Drought is a slow-onset natural hazard that affects many economic sectors and people worldwide on a year-to-year basis. Remote sensing is commonly used to monitor drought through indicators and indices derived from satellite data, such as the Normalized Difference Vegetation Index (NDVI) and Temperature Condition Index (TCI). The Vegetation Health Index (VHI) combines VCI and TCI to effectively assess drought conditions. Google Earth Engine provides a cloud-based platform for analyzing remote sensing data to map and monitor agricultural drought using these indices.
Drought Index Analizes With Rainfall Patern Indicators Use SPI Method (Case S...IJERA Editor
This document summarizes a study that analyzed drought in the Bangga watershed in Central Sulawesi, Indonesia using the Standardized Precipitation Index (SPI) method. The study found that:
1) The worst drought in the Bangga watershed occurred in April 2015, with SPI values ranging from -3516 for 1 month to -2922 for 12 months.
2) Projecting conditions to 2050 using the Makesens 1.0 software indicated the Bangga watershed will generally experience dry conditions, with the worst drought predicted in July with SPI values ranging from -3.83 for 1 month to -2.32 for 12 months.
3) The SPI method was used to calculate drought
IRJET- Estimation of Surface Runoff using Curve Number Method- A Geospatial A...IRJET Journal
This document describes a study that used the Curve Number method and GIS techniques to estimate surface runoff in the KCAET Campus area of Malappuram district, Kerala, India. Land use maps from 2006 and 2018 were digitized from satellite imagery and soil data was collected to determine hydrologic soil groups. Curve numbers were assigned based on land use and soil type to calculate runoff potential. Rainfall data from 2004-2007, 2018-2019 was analyzed. Results found 28.5% of the area has high runoff potential, 33.7% medium, and 37.7% low. Annual rainfall-runoff varied from 16-23%. Curve numbers were 57.77 and 58.95 for 2006 and
This document summarizes a study that assessed micro-level drought vulnerability in villages in the Peddavagu basin in India. Researchers used GIS and remote sensing to create thematic maps of factors like rainfall, elevation, soils, drainage and water availability. They analyzed these parameters and integrated the maps using weighted overlay analysis in GIS to derive a village-level drought vulnerability map. The goal was to help communities better plan for and cope with drought by understanding spatial variations in vulnerability across the region.
Agricultural drought assessment of post monsoon season of vaijapur taluka usi...eSAT Journals
The document analyzes agricultural drought in Vaijapur taluka, India using Landsat 8 satellite imagery. It calculates drought indices like NDVI, VCI, and SAVI from Landsat 8 images from October to December 2013 and 2014 to assess drought severity during the post-monsoon season. The analysis found that 2013 was affected by agricultural drought based on lower vegetation indices and less rainfall compared to 2014. Meteorological data on rainfall and temperature is also used to analyze drought conditions.
DISASTER MANAGEMENT OF FLOOD AND ITS RETAINING TECHNIQUESIRJET Journal
This document summarizes a study on flood management techniques and retaining strategies. It discusses the objectives of evaluating flood mitigation effects of a proposed deep channel system in Kolhapur, India. The methodology included selecting an impacted village, assessing flood damage, conducting field surveys of the area, and planning for a diversion channel. The goals are to prevent loss of life and property by diverting excess water during floods through designing and implementing the diversion channel.
Remote sensing and GIS application for monitoring drought vulnerability in In...riyaniaes
Agricultural drought is one of the hydrometeorological disasters that cause significant losses because it affects food stocks. In addition, agricultural droughts, impact the physical and socio-economic development of the community. Remote sensing technology is used to monitor agricultural droughts spatially and temporally for minimizing losses. This study reviewed the literatures related to remote sensing and GIS for monitoring drought vulnerability in Indonesia. The study was conducted on an island-scale on Java Island, a provincial-scale in East Java and Bali, and a district-scale in Indramayu and Kebumen. The dominant method was the drought index, which involves variable land surface temperature (LST), vegetation index, land cover, wetness index, and rainfall. Each study has a strong point and a weak point. Low-resolution satellite imagery has been used to assess drought vulnerability. At the island scale, it provides an overview of drought conditions, while at the provincial scale, it focuses on paddy fields and has little detailed information. In-situ measurements at the district scale detect meteorological drought accurately, but there were limitations in the mapping unit's detailed information. Drought mapping using GIS and remote sensing at the district scale has detailed spatial information on climate and physiographic aspects, but it needs temporal data monitoring.
Monitoring crop consumptive water use by applying recent remote sensing techniques has become a topic of research interest in water resources management and planning. In irrigated agriculture, conventional methods of estimating water use are costly. This study aims at estimate the relationship between tobacco crop evapotranspiration (ETcrop) and the normalized difference vegetation index (NDVI) during the crop development stage at Chedgelow irrigated farm in Zimbabwe. Tobacco ETcrop was estimated as a product of reference evapotranspiration (ETo) and crop coefficient (Kc). The Penman-Monteith model was applied to estimate ETo using climate data from Kutsaga research station, some 2 km away from the farm. Kc values were extracted from FAO tables. Five cloud-free MODIS images for the month of October in 2000, 2001, 2002, 2003 and 2007 were processed extract the NDVI values using ILWIS GIS. The results show significant (p = 0.000) differences between tobacco NDVI values over the years studied. The results also show a strong and significant positive relationship (r2 = 0.8061, p = 0.047) between ETcrop estimated using Penman Monteith model and NDVI. Research findings show that satellite derived NDVI is a good and reliable predictor of tobacco crop water evapotranspiration. Therefore, remotely sensed NDVI can be used to monitor crop water use in irrigated tobacco fields in areas where resources do not permit field measurements.
Monitoring crop consumptive water use by applying recent remote sensing techniques has become a topic of research interest in water resources management and planning. In irrigated agriculture, conventional methods of estimating water use are costly. This study aims at estimate the relationship between tobacco crop evapotranspiration (ETcrop) and the normalized difference vegetation index (NDVI) during the crop development stage at Chedgelow irrigated farm in Zimbabwe. Tobacco ETcrop was estimated as a product of reference evapotranspiration (ETo) and crop coefficient (Kc). The Penman-Monteith model was applied to estimate ETo using climate data from Kutsaga research station, some 2 km away from the farm. Kc values were extracted from FAO tables. Five cloud-free MODIS images for the month of October in 2000, 2001, 2002, 2003 and 2007 were processed extract the NDVI values using ILWIS GIS. The results show significant (p = 0.000) differences between tobacco NDVI values over the years studied. The results also show a strong and significant positive relationship (r2 = 0.8061, p = 0.047) between ETcrop estimated using Penman Monteith model and NDVI. Research findings show that satellite derived NDVI is a good and reliable predictor of tobacco crop water evapotranspiration. Therefore, remotely sensed NDVI can be used to monitor crop water use in irrigated tobacco fields in areas where resources do not permit field measurements.
Climate services involve the timely production, translation, and delivery of useful climate data, information
and knowledge for societal decision making. In order to create climate services for farmers that are truly
integrated with user-centric design into the development process in an African context, the study has
finished an important and crucial step by conducting a literature review and designing a prototype for the
application. The goal of this study was to create climate services for farmers in an African context that are
genuinely integrated with user-centric design. This led to the co-design and development and integration
of a mobile application that provide climate and weather information as well as agricultural
information for the main crops such millet, maize and sorghum. The research applied using qualitative
research using interview with 3 farmers in the field using random sampling with the approach to inform
the study. A survey has been administered to find out how people understand climate services, Agro
meteorology and help enhance the mobile application’s user experience. A Results shows that farmers are
determined and ready to use and excited with the application. These innovations helped farmers to reduce
the cost, increase crop capacity and profit. A hypothesis was set that there is a need forintegrating AI into
a farmer’s application for making farming process more progressive and efficient farming and the
integration of Market Place (MP) for farmer’s application to market and sell their product the integration
of notification system that allows farmers to receive real-time data and IOT for real-time data. The data
collected and the survey results demonstrated that the research objectives were being met. The study aims
to develop the application that would be scalable, durable and fault tolerant for farmers to use the
application successfully.
Climate services involve the timely production, translation, and delivery of useful climate data, information
and knowledge for societal decision making. In order to create climate services for farmers that are truly
integrated with user-centric design into the development process in an African context, the study has
finished an important and crucial step by conducting a literature review and designing a prototype for the
application. The goal of this study was to create climate services for farmers in an African context that are
genuinely integrated with user-centric design. This led to the co-design and development and integration
of a mobile application that provide climate and weather information as well as agricultural
information for the main crops such millet, maize and sorghum. The research applied using qualitative
research using interview with 3 farmers in the field using random sampling with the approach to inform
the study.
GREENHOUSE MONITORING AND AUTOMATION SYSTEMIRJET Journal
This document describes a smart greenhouse monitoring and automation system that uses IoT technologies. The system uses sensors to monitor parameters like temperature, soil moisture, and uses a Node MCU microcontroller for wireless communication. An Android application allows users to monitor sensor values remotely and control automation systems through a user-friendly interface. The system aims to automate greenhouse operations to improve crop yields while reducing manual labor requirements for farmers. It can monitor and control multiple greenhouses from a single mobile app. The system integrates modern IoT and wireless technologies to help modernize agricultural practices.
Role of agroinformatics in watershed managementshashi bijapure
This document summarizes the role of agro-informatics in watershed management. It discusses how watershed management involves implementing land and water practices to protect water quality within a watershed. Key steps include delineation, prioritization, action planning, implementation, monitoring, and impact assessment. Information technologies like GPS, remote sensing, and GIS are important tools. Remote sensing helps with mapping and NDVI analysis. GIS allows integration and analysis of spatial data. Several case studies from India demonstrate how remote sensing and GIS were used to assess land use changes, drought impacts, and conduct land evaluations after watershed development projects.
Drought is a major hazard in Southern Africa that refers to periods of moisture deficiency compared to normal climatic conditions. Drought and fire are the main reasons the Southern African region experiences hunger each year and ecosystem depletion. Embracing new technologies like GIS and remote sensing is essential to find sustainable solutions to drought and fire, especially given agriculture's importance to the region's underdeveloped economies. Remote sensing uses indices like NDVI derived from satellite imagery to monitor drought by analyzing vegetation health and moisture levels on the landscape. NDVI values indicate drought severity, with lower values corresponding to areas with little vegetation and water scarcity.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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Climate change is undoubtedly one of the world’s biggest challenges in the 21st century.
Drought risk analysis, forecasting and assessment are facing rapid expansion, not only from theoretical
but also practical points of view. Accurate monitoring, forecasting and comprehensive assessments
are of the utmost importance for reliable drought-related decision-making. The framework of drought
risk analysis provides a unified and coherent approach to solving inference and decision-making
problems under uncertainty due to climate change, such as hydro-meteorological modeling, drought
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This document summarizes a study that assessed drought risk using remote sensing and GIS. Satellite-derived NDVI data and ground-based precipitation data were analyzed over a 10-year period. Correlations between NDVI, standardized precipitation index (SPI), rainfall anomaly, and food grain anomaly were performed. Results showed SPI can indicate regional crop production. NDVI, SPI, and detrended food grain yield anomaly were linearly correlated, indicating they can efficiently monitor and evaluate food grain output. Different data sources were analyzed spatially and temporally to classify drought risk into very high, high, moderate, slight, and no risk categories based on regression analyses between precipitation, NDVI, and crop yields. The integrated approach aimed to properly deline
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Assessment of Drought Occurrence in Kano State, Nigeriaijtsrd
Drought occurrence is caused by the breaking of water balance, which usually leads to negative impact on agriculture, as well as ecological and socio economic spheres. The main purpose of the current study is to conduct drought assessment over Kano State, Nigeria for 2018. We used two different drought indices including Standardized Precipitation Index SPI and the Normalized Difference Vegetation Index NDVI . Meteorological data on precipitation was used to compute the Standardized Precipitation Index, and Normalized Difference Vegetation Index was generated from MODIS NDVI data sets. The conventional SPI classification scheme which categorize drought under seven groups was used along with the NDVI values which ranges from 1 to 1. Results indicate a near normal condition in the study area. Ezekiel. O. Eguaroje | Thomas. U. Omali | Kebiru Umoru ""Assessment of Drought Occurrence in Kano State, Nigeria"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020, URL: https://www.ijtsrd.com/papers/ijtsrd29976.pdf
Paper Url : https://www.ijtsrd.com/other-scientific-research-area/enviormental-science/29976/assessment-of-drought-occurrence-in-kano-state-nigeria/ezekiel-o-eguaroje
Impact of Land-use and Land-cover Change Dynamics on Flooding: A Case Study o...IRJET Journal
The document analyzes changes in land use and land cover (LULC) in the Ramakrishnapuram and Safilguda Lake watersheds in Hyderabad, India between 1997 and 2016 using remote sensing. Significant conversions from vegetated areas to built-up areas reduced green space and increased impervious surfaces. This exacerbated flooding in some areas by increasing surface runoff volumes. Analysis of satellite imagery showed declines in vegetated land from 134.59 hectares to 17.95 hectares and losses of non-perennial water bodies. Residential development expanded due to population growth and migration, leading to more compact urban areas over time.
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1) The worst drought in the Bangga watershed occurred in April 2015, with SPI values ranging from -3516 for 1 month to -2922 for 12 months.
2) Projecting conditions to 2050 using the Makesens 1.0 software indicated the Bangga watershed will generally experience dry conditions, with the worst drought predicted in July with SPI values ranging from -3.83 for 1 month to -2.32 for 12 months.
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Remote sensing and GIS application for monitoring drought vulnerability in In...riyaniaes
Agricultural drought is one of the hydrometeorological disasters that cause significant losses because it affects food stocks. In addition, agricultural droughts, impact the physical and socio-economic development of the community. Remote sensing technology is used to monitor agricultural droughts spatially and temporally for minimizing losses. This study reviewed the literatures related to remote sensing and GIS for monitoring drought vulnerability in Indonesia. The study was conducted on an island-scale on Java Island, a provincial-scale in East Java and Bali, and a district-scale in Indramayu and Kebumen. The dominant method was the drought index, which involves variable land surface temperature (LST), vegetation index, land cover, wetness index, and rainfall. Each study has a strong point and a weak point. Low-resolution satellite imagery has been used to assess drought vulnerability. At the island scale, it provides an overview of drought conditions, while at the provincial scale, it focuses on paddy fields and has little detailed information. In-situ measurements at the district scale detect meteorological drought accurately, but there were limitations in the mapping unit's detailed information. Drought mapping using GIS and remote sensing at the district scale has detailed spatial information on climate and physiographic aspects, but it needs temporal data monitoring.
Monitoring crop consumptive water use by applying recent remote sensing techniques has become a topic of research interest in water resources management and planning. In irrigated agriculture, conventional methods of estimating water use are costly. This study aims at estimate the relationship between tobacco crop evapotranspiration (ETcrop) and the normalized difference vegetation index (NDVI) during the crop development stage at Chedgelow irrigated farm in Zimbabwe. Tobacco ETcrop was estimated as a product of reference evapotranspiration (ETo) and crop coefficient (Kc). The Penman-Monteith model was applied to estimate ETo using climate data from Kutsaga research station, some 2 km away from the farm. Kc values were extracted from FAO tables. Five cloud-free MODIS images for the month of October in 2000, 2001, 2002, 2003 and 2007 were processed extract the NDVI values using ILWIS GIS. The results show significant (p = 0.000) differences between tobacco NDVI values over the years studied. The results also show a strong and significant positive relationship (r2 = 0.8061, p = 0.047) between ETcrop estimated using Penman Monteith model and NDVI. Research findings show that satellite derived NDVI is a good and reliable predictor of tobacco crop water evapotranspiration. Therefore, remotely sensed NDVI can be used to monitor crop water use in irrigated tobacco fields in areas where resources do not permit field measurements.
Monitoring crop consumptive water use by applying recent remote sensing techniques has become a topic of research interest in water resources management and planning. In irrigated agriculture, conventional methods of estimating water use are costly. This study aims at estimate the relationship between tobacco crop evapotranspiration (ETcrop) and the normalized difference vegetation index (NDVI) during the crop development stage at Chedgelow irrigated farm in Zimbabwe. Tobacco ETcrop was estimated as a product of reference evapotranspiration (ETo) and crop coefficient (Kc). The Penman-Monteith model was applied to estimate ETo using climate data from Kutsaga research station, some 2 km away from the farm. Kc values were extracted from FAO tables. Five cloud-free MODIS images for the month of October in 2000, 2001, 2002, 2003 and 2007 were processed extract the NDVI values using ILWIS GIS. The results show significant (p = 0.000) differences between tobacco NDVI values over the years studied. The results also show a strong and significant positive relationship (r2 = 0.8061, p = 0.047) between ETcrop estimated using Penman Monteith model and NDVI. Research findings show that satellite derived NDVI is a good and reliable predictor of tobacco crop water evapotranspiration. Therefore, remotely sensed NDVI can be used to monitor crop water use in irrigated tobacco fields in areas where resources do not permit field measurements.
Climate services involve the timely production, translation, and delivery of useful climate data, information
and knowledge for societal decision making. In order to create climate services for farmers that are truly
integrated with user-centric design into the development process in an African context, the study has
finished an important and crucial step by conducting a literature review and designing a prototype for the
application. The goal of this study was to create climate services for farmers in an African context that are
genuinely integrated with user-centric design. This led to the co-design and development and integration
of a mobile application that provide climate and weather information as well as agricultural
information for the main crops such millet, maize and sorghum. The research applied using qualitative
research using interview with 3 farmers in the field using random sampling with the approach to inform
the study. A survey has been administered to find out how people understand climate services, Agro
meteorology and help enhance the mobile application’s user experience. A Results shows that farmers are
determined and ready to use and excited with the application. These innovations helped farmers to reduce
the cost, increase crop capacity and profit. A hypothesis was set that there is a need forintegrating AI into
a farmer’s application for making farming process more progressive and efficient farming and the
integration of Market Place (MP) for farmer’s application to market and sell their product the integration
of notification system that allows farmers to receive real-time data and IOT for real-time data. The data
collected and the survey results demonstrated that the research objectives were being met. The study aims
to develop the application that would be scalable, durable and fault tolerant for farmers to use the
application successfully.
Climate services involve the timely production, translation, and delivery of useful climate data, information
and knowledge for societal decision making. In order to create climate services for farmers that are truly
integrated with user-centric design into the development process in an African context, the study has
finished an important and crucial step by conducting a literature review and designing a prototype for the
application. The goal of this study was to create climate services for farmers in an African context that are
genuinely integrated with user-centric design. This led to the co-design and development and integration
of a mobile application that provide climate and weather information as well as agricultural
information for the main crops such millet, maize and sorghum. The research applied using qualitative
research using interview with 3 farmers in the field using random sampling with the approach to inform
the study.
GREENHOUSE MONITORING AND AUTOMATION SYSTEMIRJET Journal
This document describes a smart greenhouse monitoring and automation system that uses IoT technologies. The system uses sensors to monitor parameters like temperature, soil moisture, and uses a Node MCU microcontroller for wireless communication. An Android application allows users to monitor sensor values remotely and control automation systems through a user-friendly interface. The system aims to automate greenhouse operations to improve crop yields while reducing manual labor requirements for farmers. It can monitor and control multiple greenhouses from a single mobile app. The system integrates modern IoT and wireless technologies to help modernize agricultural practices.
Role of agroinformatics in watershed managementshashi bijapure
This document summarizes the role of agro-informatics in watershed management. It discusses how watershed management involves implementing land and water practices to protect water quality within a watershed. Key steps include delineation, prioritization, action planning, implementation, monitoring, and impact assessment. Information technologies like GPS, remote sensing, and GIS are important tools. Remote sensing helps with mapping and NDVI analysis. GIS allows integration and analysis of spatial data. Several case studies from India demonstrate how remote sensing and GIS were used to assess land use changes, drought impacts, and conduct land evaluations after watershed development projects.
Drought is a major hazard in Southern Africa that refers to periods of moisture deficiency compared to normal climatic conditions. Drought and fire are the main reasons the Southern African region experiences hunger each year and ecosystem depletion. Embracing new technologies like GIS and remote sensing is essential to find sustainable solutions to drought and fire, especially given agriculture's importance to the region's underdeveloped economies. Remote sensing uses indices like NDVI derived from satellite imagery to monitor drought by analyzing vegetation health and moisture levels on the landscape. NDVI values indicate drought severity, with lower values corresponding to areas with little vegetation and water scarcity.
Similar to Agricultural Drought Assessment in Semi-Arid Region Using SPI and NDVI (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
Open Channel Flow: fluid flow with a free surfaceIndrajeet sahu
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.