This document discusses the potential for innovation and technology in agriculture, including precision agriculture tools, farm management software, and sensors that can help small farmers. It notes entrepreneurs are developing technologies using radio frequency, the Internet of Things, and big data to improve farming. These include clean technologies using ambient energy, waste-to-energy, and renewable sources.
1) Farm mechanization in India faces problems due to small land holdings, lack of knowledge and financial constraints among small farmers. Government initiatives to promote mechanization include training programs and subsidies.
2) The average farm power availability in India is 1.5 kW/ha but varies widely between states. States with higher availability such as Punjab have much higher agricultural productivity. In Assam, availability is only 0.8 kW/ha, below the national average.
3) Strategies to increase farm mechanization in India include developing equipment suitable for different terrains, establishing farm machinery banks, increasing average power availability, and strengthening collaboration between farmers and researchers.
Information Technology in agriculture ppt by deependraDeependra Gupta
This document discusses the role of information technology in Indian agriculture. It outlines how IT can improve farm management and increase agricultural productivity through tools like weather forecasting, digital mandis, mKrishi, Kisan call centers, and e-choupals. However, challenges remain in fully utilizing IT in Indian agriculture due to issues like lack of reliable connectivity in rural areas and low literacy levels among some farmers.
Indian agriculture is one of the strong sectors of the Indian economy, contributing 14% to GDP and employing 58% of the population. Major crops include rice, wheat, oilseeds, cotton, jute, and tea. The Green Revolution in the 1960s increased agricultural production and exports through high-yielding varieties and increased fertilizer and irrigation. However, average yields remain low due to inadequate irrigation, illiteracy, and lack of technical development compared to other countries.
The document discusses several modern agricultural technologies used in the 21st century including combine harvesters, agricultural robot suits, cultivators, pivot irrigation systems, tillage systems, and LED lighting technologies. It provides details on how each technology functions and the benefits they provide farmers for tasks like harvesting, weeding, irrigation, and plant growth. A variety of other technologies are also listed at the end related to soil cultivation, planting, fertilizing, pest control, and harvesting.
This document discusses the application of information and communication technologies (ICT) in Indian agriculture. It outlines how ICT can provide timely weather forecasts and market information to farmers, enable better farming practices and risk management, and facilitate online trading. It also describes how ICT supports agricultural education through smart classrooms, research through tools like remote sensing and yield forecasting, and extension by disseminating new technologies to farmers via mobile SMS, radio, and other channels. Precision farming technologies aided by GPS, GIS, and decision support systems are highlighted as important ICT applications for site-specific crop management.
The document discusses the history and development of agriculture and technology. It notes that early agricultural practices like irrigation and crop rotation developed long ago but have made great progress in the past century. The development of technologies like mechanized harvesters, the Haber-Bosch process for nitrogen fixation, the Green Revolution, and genetically modified crops have dramatically increased agricultural production and yields. Modern farms now use a variety of machinery such as tractors, cultivators, seed drills, and milking machines to perform tasks with greater speed and scale than previously possible.
Agriculture is the backbone of the Indian economy, contributing 16% to GDP and providing employment to over half of the workforce. It produces food for over 1 billion people and supplies raw materials to industries. Agriculture is the largest source of foreign exchange through exports of tea, cotton, spices and other commodities. While its economic contribution is declining with industrialization, agriculture will remain vital to India's development as the primary occupation in rural areas and source of food security.
This document discusses the potential for innovation and technology in agriculture, including precision agriculture tools, farm management software, and sensors that can help small farmers. It notes entrepreneurs are developing technologies using radio frequency, the Internet of Things, and big data to improve farming. These include clean technologies using ambient energy, waste-to-energy, and renewable sources.
1) Farm mechanization in India faces problems due to small land holdings, lack of knowledge and financial constraints among small farmers. Government initiatives to promote mechanization include training programs and subsidies.
2) The average farm power availability in India is 1.5 kW/ha but varies widely between states. States with higher availability such as Punjab have much higher agricultural productivity. In Assam, availability is only 0.8 kW/ha, below the national average.
3) Strategies to increase farm mechanization in India include developing equipment suitable for different terrains, establishing farm machinery banks, increasing average power availability, and strengthening collaboration between farmers and researchers.
Information Technology in agriculture ppt by deependraDeependra Gupta
This document discusses the role of information technology in Indian agriculture. It outlines how IT can improve farm management and increase agricultural productivity through tools like weather forecasting, digital mandis, mKrishi, Kisan call centers, and e-choupals. However, challenges remain in fully utilizing IT in Indian agriculture due to issues like lack of reliable connectivity in rural areas and low literacy levels among some farmers.
Indian agriculture is one of the strong sectors of the Indian economy, contributing 14% to GDP and employing 58% of the population. Major crops include rice, wheat, oilseeds, cotton, jute, and tea. The Green Revolution in the 1960s increased agricultural production and exports through high-yielding varieties and increased fertilizer and irrigation. However, average yields remain low due to inadequate irrigation, illiteracy, and lack of technical development compared to other countries.
The document discusses several modern agricultural technologies used in the 21st century including combine harvesters, agricultural robot suits, cultivators, pivot irrigation systems, tillage systems, and LED lighting technologies. It provides details on how each technology functions and the benefits they provide farmers for tasks like harvesting, weeding, irrigation, and plant growth. A variety of other technologies are also listed at the end related to soil cultivation, planting, fertilizing, pest control, and harvesting.
This document discusses the application of information and communication technologies (ICT) in Indian agriculture. It outlines how ICT can provide timely weather forecasts and market information to farmers, enable better farming practices and risk management, and facilitate online trading. It also describes how ICT supports agricultural education through smart classrooms, research through tools like remote sensing and yield forecasting, and extension by disseminating new technologies to farmers via mobile SMS, radio, and other channels. Precision farming technologies aided by GPS, GIS, and decision support systems are highlighted as important ICT applications for site-specific crop management.
The document discusses the history and development of agriculture and technology. It notes that early agricultural practices like irrigation and crop rotation developed long ago but have made great progress in the past century. The development of technologies like mechanized harvesters, the Haber-Bosch process for nitrogen fixation, the Green Revolution, and genetically modified crops have dramatically increased agricultural production and yields. Modern farms now use a variety of machinery such as tractors, cultivators, seed drills, and milking machines to perform tasks with greater speed and scale than previously possible.
Agriculture is the backbone of the Indian economy, contributing 16% to GDP and providing employment to over half of the workforce. It produces food for over 1 billion people and supplies raw materials to industries. Agriculture is the largest source of foreign exchange through exports of tea, cotton, spices and other commodities. While its economic contribution is declining with industrialization, agriculture will remain vital to India's development as the primary occupation in rural areas and source of food security.
This document discusses the use of ICTs to help farmers in Arunachal Pradesh, India. It describes a case study of farmer Balram Kumar who used the e-arik platform to access information on climate-smart agriculture practices and market prices. This helped him improve crop productivity and profits by changing cultivation practices based on monsoon patterns. The document then defines ICTs, explains their need in agriculture given issues like lack of education and market access for many farmers, and outlines various ICT initiatives by the government and private sector in India to help farmers. These initiatives utilize technologies like computers, internet, phones, and teleconferencing to provide services like expert advice, weather forecasts, pricing information and more. The
This document discusses the use of artificial intelligence in agriculture. It notes that the global population is expected to double by 2050, requiring a 70% increase in food production. AI can help address this challenge through automated farming activities, pest and disease monitoring, crop quality management, and machine vision systems. Examples provided include automated irrigation systems to save water, remote sensing for crop health monitoring, AI-based harvesting of vine crops, and early warning systems for pest outbreaks. Decision support systems using neural networks, genetic algorithms and other techniques can also help with yield prediction. Additional applications mentioned are driverless tractors, targeted weed removal robots, and AI-guided farming decisions. The document concludes that AI can optimize resource use and help solve labor
This document provides an introduction to agriculture in India and Odisha. It discusses how over 2/3 of Indians engage in agriculture and how food grains and exports like tea, coffee and spices are important agricultural products. It then details crop types in India like rice, wheat, maize and millets as well as food and non-food crops. The rest of the document outlines the basic steps in agricultural practices from soil preparation to harvesting, storage and addressing farmer health concerns.
The document discusses the concept of Internet of Things (IoT) and its applications in agriculture. It defines IoT and describes how physical objects can be connected to collect and exchange data. Some key applications of IoT in agriculture mentioned include monitoring soil moisture and temperature for controlled irrigation, livestock monitoring, pest monitoring, and mobile money transfers. However, constraints for implementing IoT in Indian agriculture include small land holdings, connectivity and affordability issues. Some case studies on precision agriculture and reducing water usage through IoT are also summarized.
Precision farming involves using new technologies and collected field information to optimize agricultural practices based on variability within fields. It aims to do the right thing, in the right place, at the right time. This tailors inputs like fertilizers and pesticides based on conditions and can improve crop yields while reducing costs and environmental impact. Precision farming uses tools like GPS, GIS, sensors and software to gather and analyze data on soil properties, climate and crop conditions to develop customized farm management plans. While promising, precision farming faces challenges in adoption related to costs, farm size and lack of expertise in developing countries.
Role of information technology in AgricultureChandan Singh
Information technology can play an important role in improving Indian agriculture by enabling efficient farm management, timely access to weather forecasts and market prices, and reducing risks. IT tools summarized include digital mandis, mKrishi mobile advisory services, Kisan call centers, e-Choupal internet kiosks, GPS and GIS systems to optimize input use, and drones and remote sensing for tasks like land surveys, seeding, fertilizing and irrigation. The document outlines India's IT vision for agriculture in 2020 and initiatives by groups like AFPOH to increase food production through e-agriculture, while also noting remaining challenges to effective IT adoption in the sector.
About 75% people are living in rural areas and are still dependent on Agriculture.
About 43% of India’s geographical area is used for agricultural activity.
Agriculture continues to play a major role in Indian Economy.
Provides food to more than 1 billion people
Produces 51 major crops
Contributes to 1/6th of the Export Earnings
Smart agriculture uses modern technologies like sensors, drones, robotics and IOT to increase crop yields and quality. It allows for smart irrigation, livestock monitoring, weather monitoring and remote soil monitoring. An automated greenhouse uses computer control of climate and environment to grow crops with 45% less inputs, 60% less labor, and 65% more efficiency. The technology could boost India's agricultural production and food security, though initial costs are high and many small farmers currently lack education to implement it.
This document discusses sustainable agriculture, defining it as a farming system that can maintain productivity and usefulness to society indefinitely while preserving the environment and natural resources. The key principles of sustainable agriculture are enhancing long-term farm productivity, minimizing impacts on natural resources and ecosystems, reducing chemical residues, maximizing social benefits, and managing climate and market risks. Techniques to achieve sustainability include integrated pest management, crop rotation, organic fertilizers, conservation tillage, and indicators to measure sustainability. The challenges to sustainable agriculture are the need to increase food production while land availability decreases.
Sustainable agriculture aims to satisfy human food needs over the long term while enhancing environmental quality and conserving resources. It is multifunctional, supporting food production, environmental protection, and rural community development. Dietitians can encourage more sustainable practices by promoting locally-grown foods, dietary variety, and alternative protein sources to support healthier diets and more sustainable food systems. Getting involved through community programs, government, or subcommittees allows both professionals and individuals to positively impact agricultural sustainability.
This document defines smart farming as using modern technology to increase agricultural production and quality. It discusses the history of smart agriculture focusing on supporting development and food security. The objectives of smart farming are to sustainably increase yields and incomes while adapting to climate change and reducing emissions. The advantages include maximizing outputs with minimal resources, while disadvantages are reliance on continuous internet and farmers learning new technologies.
Organic farming involves techniques that achieve good crop yields without harming the environment or people. It uses biological materials and avoids synthetic substances to maintain ecological balance and minimize pollution. Some organic farming techniques include crop rotation, green manure, organic waste management, and biological pest control. The benefits of organic farming are maintaining long-term soil fertility, reducing input costs, effectively using natural resources, avoiding pollution from agriculture, and providing quality food. India has a suitable climate for organic farming and there are growing opportunities in the sector as demand for organic products and acreage of organic farmland have increased in recent years.
Artificial Intelligence In Agriculture & Its Status in IndiaJanhviTripathi
Worldwide, agriculture is a $5 trillion industry, and with the ever increasing population, the world will need to produce 50% more food by 2050 which cannot be accomplished with the percentage of land under cultivation. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, Artificial Intelligence is steadily emerging as part of the industry’s technological evolution which help can help farmers get more from the land while using resources more sustainably, yielding healthier crops, control pests, monitor soil, help with workload, etc
*All the media belongs to the respective owners*
Contact me for further queries & discussions...
The agriculture sector employs nearly half of the workforce in the country. However, it contributes to 17.5% of the GDP (at current prices in 2015-16).Agriculture sector’s contribution has decreased from more than 50% of GDP in the 1950s to 15.4% in 2015-16 (at constant prices). This slides discuss about Indian agriculture status and problems and solutions.
India has seen significant increases in food grain production but agriculture's contribution to GDP is declining. Farm mechanization has helped improve productivity but challenges remain due to small land holdings and lack of access to machinery. While tractor use is growing, much agricultural work remains done manually, particularly for crops besides rice and wheat. Expanding mechanization could further increase yields and incomes while reducing labor shortages and drudgery, but access and economic barriers remain for many small farmers.
This document discusses using technology to close the gap between technology generation and dissemination in agriculture. It proposes an agricultural information system portal that connects agriculture experts, communities, and farmers so they can share soil data, plant properties, crop data, research, and farmers' details to help disseminate innovations and information.
This document discusses dryland agriculture, which refers to growing crops entirely through rainfall. It can be divided into dry farming (<750mm rainfall), dryland farming (750-1150mm rainfall), and rainfed farming (>1150mm rainfall). Dry farming occurs in arid regions and has frequent crop failures due to low and variable rainfall. Dryland farming occurs in semi-arid regions and has less frequent crop failures. Rainfed farming occurs in humid regions and has rare crop failures. The document also discusses various irrigation techniques like surface, localized, and subsurface irrigation that help supplement rainfall for crop growth.
The document discusses different types of agriculture practiced in India. It describes primitive subsistence farming, intensive subsistence farming, commercial farming, and plantation farming. It also discusses major crops grown in India like rice, millets, cotton, and coffee. Agricultural development aims to increase farm production to meet population growth through expanding cropped area, irrigation, use of fertilizers and high-yielding seeds, and farm mechanization. The ultimate goal is increased food security. Farming in India has a long history and India ranks second worldwide in agricultural output. In the US, agriculture is a major industry and the country exports food, with over 2 million farms covering over 900 million acres.
This document discusses the application of information and communication technologies (ICT) in agriculture. It begins by outlining some of the key challenges facing agriculture, such as rising food prices and increasing global population. It then introduces ICT as a potential solution to improve agriculture, noting how technologies like mobile phones and the internet are becoming more accessible even in rural areas. The document provides examples of how different ICT tools can be applied across various agricultural activities from pre-cultivation to post-harvest. It also discusses the development of some agricultural expert systems in India to provide farmers with advice.
This document discusses how technological innovations in agriculture impact supply and prices. It provides examples of major advancements like mechanization, fertilizers, and biotechnology. Technology allows farmers to increase supply by producing more with the same inputs. While demand for food is inelastic, supply becomes more elastic over time. New technologies can initially increase total revenue but eventually farmers must adopt them to remain competitive, trapping them on a "technological treadmill" where profits decline. Emerging biotechnologies may change agricultural marketing systems and create opportunities for new crop types.
Climate and crop modelling approach-Cropping advisories based on seasonal for...ICRISAT
In a pilot study conducted in South India, farmers who followed the cropping advisory derived from climate and crop simulation modeling earned 20% more than those who did not heed the advice.A majority of the farming community in
Hussainapuram, Kurnool, Andhra Pradesh, India, live below the poverty line. Over 50% of the cultivators hold less than two hectares of dryland. Twice in every five years the village experiences drought. Recurrent droughts force migration to nearby cities for employment. In this region the deep black soils are deficient in major and micro nutrients like nitrogen, phosphorus, sulfur, boron and zinc. Cotton, groundnut, sunflower and chickpea are the major crops in the region. Cotton growers have been the worst hit by changing rainfall patterns.
This document discusses the use of ICTs to help farmers in Arunachal Pradesh, India. It describes a case study of farmer Balram Kumar who used the e-arik platform to access information on climate-smart agriculture practices and market prices. This helped him improve crop productivity and profits by changing cultivation practices based on monsoon patterns. The document then defines ICTs, explains their need in agriculture given issues like lack of education and market access for many farmers, and outlines various ICT initiatives by the government and private sector in India to help farmers. These initiatives utilize technologies like computers, internet, phones, and teleconferencing to provide services like expert advice, weather forecasts, pricing information and more. The
This document discusses the use of artificial intelligence in agriculture. It notes that the global population is expected to double by 2050, requiring a 70% increase in food production. AI can help address this challenge through automated farming activities, pest and disease monitoring, crop quality management, and machine vision systems. Examples provided include automated irrigation systems to save water, remote sensing for crop health monitoring, AI-based harvesting of vine crops, and early warning systems for pest outbreaks. Decision support systems using neural networks, genetic algorithms and other techniques can also help with yield prediction. Additional applications mentioned are driverless tractors, targeted weed removal robots, and AI-guided farming decisions. The document concludes that AI can optimize resource use and help solve labor
This document provides an introduction to agriculture in India and Odisha. It discusses how over 2/3 of Indians engage in agriculture and how food grains and exports like tea, coffee and spices are important agricultural products. It then details crop types in India like rice, wheat, maize and millets as well as food and non-food crops. The rest of the document outlines the basic steps in agricultural practices from soil preparation to harvesting, storage and addressing farmer health concerns.
The document discusses the concept of Internet of Things (IoT) and its applications in agriculture. It defines IoT and describes how physical objects can be connected to collect and exchange data. Some key applications of IoT in agriculture mentioned include monitoring soil moisture and temperature for controlled irrigation, livestock monitoring, pest monitoring, and mobile money transfers. However, constraints for implementing IoT in Indian agriculture include small land holdings, connectivity and affordability issues. Some case studies on precision agriculture and reducing water usage through IoT are also summarized.
Precision farming involves using new technologies and collected field information to optimize agricultural practices based on variability within fields. It aims to do the right thing, in the right place, at the right time. This tailors inputs like fertilizers and pesticides based on conditions and can improve crop yields while reducing costs and environmental impact. Precision farming uses tools like GPS, GIS, sensors and software to gather and analyze data on soil properties, climate and crop conditions to develop customized farm management plans. While promising, precision farming faces challenges in adoption related to costs, farm size and lack of expertise in developing countries.
Role of information technology in AgricultureChandan Singh
Information technology can play an important role in improving Indian agriculture by enabling efficient farm management, timely access to weather forecasts and market prices, and reducing risks. IT tools summarized include digital mandis, mKrishi mobile advisory services, Kisan call centers, e-Choupal internet kiosks, GPS and GIS systems to optimize input use, and drones and remote sensing for tasks like land surveys, seeding, fertilizing and irrigation. The document outlines India's IT vision for agriculture in 2020 and initiatives by groups like AFPOH to increase food production through e-agriculture, while also noting remaining challenges to effective IT adoption in the sector.
About 75% people are living in rural areas and are still dependent on Agriculture.
About 43% of India’s geographical area is used for agricultural activity.
Agriculture continues to play a major role in Indian Economy.
Provides food to more than 1 billion people
Produces 51 major crops
Contributes to 1/6th of the Export Earnings
Smart agriculture uses modern technologies like sensors, drones, robotics and IOT to increase crop yields and quality. It allows for smart irrigation, livestock monitoring, weather monitoring and remote soil monitoring. An automated greenhouse uses computer control of climate and environment to grow crops with 45% less inputs, 60% less labor, and 65% more efficiency. The technology could boost India's agricultural production and food security, though initial costs are high and many small farmers currently lack education to implement it.
This document discusses sustainable agriculture, defining it as a farming system that can maintain productivity and usefulness to society indefinitely while preserving the environment and natural resources. The key principles of sustainable agriculture are enhancing long-term farm productivity, minimizing impacts on natural resources and ecosystems, reducing chemical residues, maximizing social benefits, and managing climate and market risks. Techniques to achieve sustainability include integrated pest management, crop rotation, organic fertilizers, conservation tillage, and indicators to measure sustainability. The challenges to sustainable agriculture are the need to increase food production while land availability decreases.
Sustainable agriculture aims to satisfy human food needs over the long term while enhancing environmental quality and conserving resources. It is multifunctional, supporting food production, environmental protection, and rural community development. Dietitians can encourage more sustainable practices by promoting locally-grown foods, dietary variety, and alternative protein sources to support healthier diets and more sustainable food systems. Getting involved through community programs, government, or subcommittees allows both professionals and individuals to positively impact agricultural sustainability.
This document defines smart farming as using modern technology to increase agricultural production and quality. It discusses the history of smart agriculture focusing on supporting development and food security. The objectives of smart farming are to sustainably increase yields and incomes while adapting to climate change and reducing emissions. The advantages include maximizing outputs with minimal resources, while disadvantages are reliance on continuous internet and farmers learning new technologies.
Organic farming involves techniques that achieve good crop yields without harming the environment or people. It uses biological materials and avoids synthetic substances to maintain ecological balance and minimize pollution. Some organic farming techniques include crop rotation, green manure, organic waste management, and biological pest control. The benefits of organic farming are maintaining long-term soil fertility, reducing input costs, effectively using natural resources, avoiding pollution from agriculture, and providing quality food. India has a suitable climate for organic farming and there are growing opportunities in the sector as demand for organic products and acreage of organic farmland have increased in recent years.
Artificial Intelligence In Agriculture & Its Status in IndiaJanhviTripathi
Worldwide, agriculture is a $5 trillion industry, and with the ever increasing population, the world will need to produce 50% more food by 2050 which cannot be accomplished with the percentage of land under cultivation. Factors such as climate change, population growth and food security concerns have propelled the industry into seeking more innovative approaches to protecting and improving crop yield. As a result, Artificial Intelligence is steadily emerging as part of the industry’s technological evolution which help can help farmers get more from the land while using resources more sustainably, yielding healthier crops, control pests, monitor soil, help with workload, etc
*All the media belongs to the respective owners*
Contact me for further queries & discussions...
The agriculture sector employs nearly half of the workforce in the country. However, it contributes to 17.5% of the GDP (at current prices in 2015-16).Agriculture sector’s contribution has decreased from more than 50% of GDP in the 1950s to 15.4% in 2015-16 (at constant prices). This slides discuss about Indian agriculture status and problems and solutions.
India has seen significant increases in food grain production but agriculture's contribution to GDP is declining. Farm mechanization has helped improve productivity but challenges remain due to small land holdings and lack of access to machinery. While tractor use is growing, much agricultural work remains done manually, particularly for crops besides rice and wheat. Expanding mechanization could further increase yields and incomes while reducing labor shortages and drudgery, but access and economic barriers remain for many small farmers.
This document discusses using technology to close the gap between technology generation and dissemination in agriculture. It proposes an agricultural information system portal that connects agriculture experts, communities, and farmers so they can share soil data, plant properties, crop data, research, and farmers' details to help disseminate innovations and information.
This document discusses dryland agriculture, which refers to growing crops entirely through rainfall. It can be divided into dry farming (<750mm rainfall), dryland farming (750-1150mm rainfall), and rainfed farming (>1150mm rainfall). Dry farming occurs in arid regions and has frequent crop failures due to low and variable rainfall. Dryland farming occurs in semi-arid regions and has less frequent crop failures. Rainfed farming occurs in humid regions and has rare crop failures. The document also discusses various irrigation techniques like surface, localized, and subsurface irrigation that help supplement rainfall for crop growth.
The document discusses different types of agriculture practiced in India. It describes primitive subsistence farming, intensive subsistence farming, commercial farming, and plantation farming. It also discusses major crops grown in India like rice, millets, cotton, and coffee. Agricultural development aims to increase farm production to meet population growth through expanding cropped area, irrigation, use of fertilizers and high-yielding seeds, and farm mechanization. The ultimate goal is increased food security. Farming in India has a long history and India ranks second worldwide in agricultural output. In the US, agriculture is a major industry and the country exports food, with over 2 million farms covering over 900 million acres.
This document discusses the application of information and communication technologies (ICT) in agriculture. It begins by outlining some of the key challenges facing agriculture, such as rising food prices and increasing global population. It then introduces ICT as a potential solution to improve agriculture, noting how technologies like mobile phones and the internet are becoming more accessible even in rural areas. The document provides examples of how different ICT tools can be applied across various agricultural activities from pre-cultivation to post-harvest. It also discusses the development of some agricultural expert systems in India to provide farmers with advice.
This document discusses how technological innovations in agriculture impact supply and prices. It provides examples of major advancements like mechanization, fertilizers, and biotechnology. Technology allows farmers to increase supply by producing more with the same inputs. While demand for food is inelastic, supply becomes more elastic over time. New technologies can initially increase total revenue but eventually farmers must adopt them to remain competitive, trapping them on a "technological treadmill" where profits decline. Emerging biotechnologies may change agricultural marketing systems and create opportunities for new crop types.
Climate and crop modelling approach-Cropping advisories based on seasonal for...ICRISAT
In a pilot study conducted in South India, farmers who followed the cropping advisory derived from climate and crop simulation modeling earned 20% more than those who did not heed the advice.A majority of the farming community in
Hussainapuram, Kurnool, Andhra Pradesh, India, live below the poverty line. Over 50% of the cultivators hold less than two hectares of dryland. Twice in every five years the village experiences drought. Recurrent droughts force migration to nearby cities for employment. In this region the deep black soils are deficient in major and micro nutrients like nitrogen, phosphorus, sulfur, boron and zinc. Cotton, groundnut, sunflower and chickpea are the major crops in the region. Cotton growers have been the worst hit by changing rainfall patterns.
Ensemble rainfall predictions in a countrywide flood forecasting model in Sco...michaelcranston
1) A countrywide flood forecasting model in Scotland uses ensemble rainfall predictions from the Met Office's MOGREPS-R forecasting system as input to a distributed hydrological model called Grid-to-Grid.
2) The ensemble predictions provide a probabilistic assessment of flood risk across Scotland with lead times of 1-2 days, helping flood warning authorities communicate expected flood risk in a risk-based approach.
3) Case studies showed that the probabilistic forecasts helped flood warning officers better prepare for potential flooding by providing information on the confidence in river level forecasts.
We would like to present our solution for a Meteorological Information System with a wide range of functionality, including data gathering (manual input or automatic weather stations), web and mobile visualization and reporting functionality (SYNOP, METAR, SPECI, CLIMAT). The system is fully customizable and available on site or as a hosted solution.
The document discusses the development of a storm water forecast system for Singapore using distributed hydrological modeling and radar rainfall data. Key points include:
- A distributed hydrological model (MIKE SHE) using radar rainfall data provided better water level forecasts than previous lumped models using rain gauge data alone, enabling lead times of 10-70 minutes.
- Validation against 11 rainfall-runoff events showed the distributed radar-based model produced more accurate runoff hydrographs and water level forecasts than the previous rain gauge-based model.
- The best forecast performance was achieved for heavy to moderate rainfall events with wide spread coverage, occurring away from the radar location with no attenuation effects and steady storm movement speeds. These types of
Smart Real-time Control of Water SystemsStephen Flood
1) Smart Real-time Control of Water Systems uses Model Predictive Control (MPC) and surrogate models to optimize control of complex urban water systems in real-time.
2) A full-scale test and implementation of this approach was conducted on the urban drainage system in Aarhus, Denmark.
3) Current work is ongoing to further develop the MPC-surrogate modeling framework and its application to integrated control of drainage systems and wastewater treatment plants under changing rainfall conditions.
Julian R - Using the EcoCrop model and database to forecast impacts of ccCIAT
Preliminary results on the assessment of global food security issues under changing climates. Presented at Tyndall Centre, Norwich, UK, by Julian Ramirez
Probabilistic weather forecasts for risk management of extreme events CLIC Innovation Ltd
MMEA (The Measurement, Monitoring and Environmental Efficiency Assessment) research program final seminar presentation by Senior Scientist Jarmo Koistinen, Finnish Meteorological Institute
Meniscus – Delivering data analytics to the connected world
The Meniscus analytics software provides high performance, flexible and scalable cloud-based tools. These tools will allow and help you to develop your bespoke applications quickly and easily. Turn your big (or small) data sets into the calculated metrics you need for your business.
Scaling up climate smart agriculture via the Climate Smart Village Approach f...ICRISAT
Given the high climatic variability in Telangana state in India, stakeholders came together to discuss context specific climate smart agriculture (CSA) practices and identify synergies to design and promote local level CSA implementation plans.
Long range forecast 2011 southwest monsoon rainfallCDRN
This document provides an update on forecasts for the 2011 southwest monsoon rainfall in India. The forecasts indicate that the monsoon rainfall over the country as a whole is most likely to be below normal, estimated at 95% of the long-period average, with a model error of ±4%. Monthly rainfall totals for July and August are also forecast to be below normal. Rainfall over four geographical regions is predicted to range from 94-97% of the long-period average, depending on the region.
This document summarizes a project to design a wireless weather monitoring system using GSM. The system monitors parameters like humidity, rainfall, temperature, and light intensity using sensors connected to a PIC16F877A microcontroller. The microcontroller converts analog sensor data to digital and monitors for abnormal readings. When abnormalities occur, a caution message is sent via GSM modem to programmed mobile numbers. Users can also request current data by sending an SMS. The system provides remote weather monitoring via the GSM network. It has applications in agriculture, industry, and medicine. The document outlines the hardware used including sensors, microcontroller, GSM modem, LCD display, and power supply.
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.
Resilient agricultural households through adaptation of climate smart agricul...ICRISAT
Climate variability has been, and continues to be the principal source of fluctuations in global food production in the arid and semi-arid tropical countries of the developing world. Favourable weather is essential for good harvests. Weather abnormalities like cyclones, droughts, hailstorms, frost, high winds, extreme temperature and insufficient photosynthetic radiation etc., may generally lead to very low or even no yields. Hence, characterization of agro climates is a pre-requisite to know the potential of a region, especially under dryland conditions for improving and stabilizing the productivity
SGM automatic weather station is an automated version of the traditional weather station, either to save human labor or to enable measurements from remote areas.
O documento descreve a importância da Ceia do Senhor, explicando que (1) é um memorial da morte de Cristo para redimir os crentes do pecado, (2) é um ato de comunhão com Cristo e outros crentes, e (3) é um antegozo do reino futuro de Deus quando todos os crentes estarão com o Senhor.
Alexa, the voice service that powers Amazon Echo, Echo Dot, Amazon Tap and Amazon Fire TV provides a set of built-in abilities, or skills, that enable customers to interact with devices in a more intuitive way using voice. Examples of these skills include the ability to play music, answer general questions, set an alarm or timer and more. Customers can then access these new skills simply by asking Alexa a question or making a command. This session will be a walkthrough of the latest Alexa Skills Kit (ASK) and will teach you how to build your own skills for Alexa enabled devices. You will also learn how to monitor your new skill using AWS CloudWatch and how to test your skill using AWS Lambda Unit Tests and the Alexa Voice and Service Simulators.
The document discusses innovations in artificial intelligence and cloud computing. It describes how AI has advanced from early neural networks to today's deep learning techniques. It highlights key AWS AI services like Amazon Rekognition, Lex, Polly and Machine Learning that make AI accessible. The cloud has helped accelerate AI progress by providing vast amounts of data, GPU processing power, and tools to build and deploy solutions at scale.
Prakash Palanisamy presented 9 security best practices for using AWS. He discussed understanding AWS's shared responsibility model where customers are responsible for security in the cloud. He recommended designing an information security management system (ISMS) to protect assets on AWS using features like IAM, VPCs, encryption, and monitoring tools. Prakash also covered securing infrastructure, data, operating systems, and implementing logging, auditing and incident response processes adapted for the cloud.
IRJET - Disease Detection Application for Crops using Augmented Reality and A...IRJET Journal
This document proposes a disease detection application for crops using augmented reality and artificial intelligence. The application would use a farmer's smartphone camera to take pictures of crops and use image recognition algorithms to identify any diseases or issues. It would then provide the farmer with treatment recommendations. The goal is to help farmers easily identify crop issues early to prevent loss of yield and improve food quality and production. Developing this application could help farmers and support the agricultural industry in India.
Technology has played a big role in developing the agricultural industry. Today it is possible to grow crops in a desert by use of agricultural biotechnology. With this technology, plants have been engineered to survive in drought conditions.
Artificial intelligence has great potential to help address challenges in agriculture and improve efficiency. It can be used for weather forecasting to help farmers determine optimal sowing times, soil and crop health monitoring to identify nutrient deficiencies and diseases, and analyzing crop health with drones to detect issues early. While AI is already being used in these applications, the industry remains underserved and challenges like irregular water access and climate change still exist. Further development of robust AI solutions could help automate farming tasks to boost yields and quality using fewer resources to help address food demands of a growing population.
Android Based Solution for Indian Agriculture Management A Design PaperEditor IJCTER
The Agriculture business domain, as a vital part of the overall supply chain, is expected to highly evolve in the upcoming years via the development, which are the taking place on the side of the future application. Smart phone technology creates new opportunities for farm management application in small farms. Farmers working on small farm are now able with a low cost smart phone and the specialized application to obtain facilities the couldn’t have on their hands before.
The use of this application in a smart phone can overleap the high difficulties of farm management requirements which were stand as obstacle for many years so far. Tasks such as field
definition, task operation, lists and report and all farming use data can be submitted and carried on together in a smart phone at any farm working condition. This application suitable for farmers. Many times farmers are confused to take decision regarding selection of fertilizer, pesticide and time to do
particular farming action. So to avoid this problem this application is very useful. Fertilizer schedule
of each type of crop will get registered. Based on sowing date of crop, farmers will get reminders about fertilizer as per schedule.
Corporate farming could help address issues facing Indian agriculture such as low productivity and farmer distress. It may boost agricultural output through large-scale mechanized production and use of new technologies. This could help ensure food security and increase farm incomes. However, corporate farming also presents risks such as environmental issues and the need to protect small farmers' livelihoods. The government would need policies to ensure benefits are shared while mitigating any negative impacts of corporate involvement in agriculture.
This document provides background information on promoting startups in Indian agriculture. It discusses how agriculture is an important part of India's economy but is also a risky sector due to factors outside farmers' control. There is significant scope for agriculture startups to help modernize farming practices and make agriculture more profitable and sustainable. The document outlines the size and challenges of Indian agriculture and food markets. It also summarizes the types of startups emerging in areas like farm inputs/outputs, farming as a service, IoT/data solutions, and innovations in financing, supply chain, and agri-products. Statistics are presented on the number and funding of Indian agri-tech startups in recent years.
ENHANCEMENT OF AGRICULTURAL STAKEHOLDERS BY USING ANDROID APPLICATIONvivatechijri
Agriculture sector plays crucial role in Indian Economy. It contributes about 17% to the total GDP and provides employment to over 60% of the population. Need of Enhancement of all stakeholders related to Agricultural sector. Most of the farmers doesn’t have any idea about the rates of crops and their products and they sell their products at any cost Improper accessibility. Android application will resolve the accessibility problem between all the agricultural stakeholders. Many laborers depend on agriculture to get their wages. They can include, grass cutters, tractor drivers, farming apparatus technicians, or anyone who is directly involved in farming activities. That said, agriculture allows manpower to be shifted between the agricultural and non-agricultural sectors. If farmers get an assured minimum support prices for their produces and also if the functioning in trade is made digital or online, or by eliminating middle person who is exchanging goods from farmers to factories or from factories to farmers. Then the financial state of farmers will be improved in agricultural field. These problems arises only because of not having the proper accessibility between each other. Nowadays it’s essential to develop of an effective network of all the agricultural stakeholders. With the help of Android application will try to provide better accessibility in terms of all resources (Time, Money and equipment) between farmers to vendors and vice versa, farmer to workers and vice versa, farmer to agriculture consultant as well as seeds and fertilizers suppliers.
India's agriculture sector plays a key role in its economy and society. The document discusses the importance of increasing agricultural production and ensuring new technologies reach farmers. It proposes a model where research institutes in each region would study soil and climate conditions to advise farmers on optimal crops. Automatic weather stations and mobile phones would help disseminate this advice. Ensuring electricity, insurance, banking access and other farmer supports could help justify implementing these recommendations to transform Indian villages.
Artificial Intelligence : An Advanced Technological Innovation in AgriculturePRATEEMBISHNU1
Agriculture is the backbone of Indian Economy. Agriculture sector in India holds the record for second-largest agricultural land in the world generating employment for about half (49%) of the country’s population.
Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the simplest to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.
“We’re at beginning of a golden age of AI. Recent advancements have already led to invention that previously lived in the realm of science fiction – and we have only scratched the surface of what’s possible”– JEFF BEZOS, Amazon CEO
Some examples, vision-recognition systems on self-driving cars, in the recommendation engines that suggest products you might like based on what you bought in the past, speech, and language recognition of the Siri virtual assistant on the Apple iPhone.
AI is making a huge impact in all domains of the industry. Every industry looking to automate certain jobs through the use of intelligent machinery. And a good Agriculture and farming are one of the oldest and most important professions in the world. It plays an important role in the economic sector. Worldwide, agriculture is a $5 trillion industry.
The global population is expected to reach more than nine billion by 2050 which will require an increase in agricultural production by 70% to fulfill the demand. As the world population is increasing due to which land water and resources becoming insufficient to continue the demand-supply chain. So, we need a smarter approach and become more efficient about how we farm and can be most productive
In this presentation, We will cover are challenges faced by farmers by using traditional methods of farming and how Artificial Intelligence is making a revolution in agriculture by replacing traditional methods by using more efficient methods and helping the world to become a better place.
Artificial Intelligence in agriculture not only helping farmers to automate their farming but also shifts to precise cultivation for higher crop yield and better quality while using fewer resources.
Companies involved in improving machine learning or Artificial Intelligence-based products or services like training data for agriculture, drone, and automated machine making will get technological advancement in the future will provide more useful applications to this sector helping the world deal with food production issues for the growing population.
The future of AI in farming largely depends on the adoption of AI solutions. Although some large-scale researches are in progress and some applications are already in the market, yet industry in agriculture is underserved. Moreover, creating predictive solutions to solve a real challenge faced by farmers in farming is still in progress at an early stage.
Transforming Agrarian Economy through Innovative Science and Technologydewaliroy
Agriculture is the backbone of Indian Economy. In spite of having Higher Production Still Our agriculture system is technology deficit which is stopping us to attain a sustainable Agriculture System with Higher Productivity. Adopting Innovative Technology and linking it with the Agrarian Society will help us to bring the Transformation In Indian Agriculture.
Increase in the population brings lots of challanges the major being food production.
Smart farming technologies
Typical agriculture value chain
Future farms
This document discusses the current state of agriculture in India and opportunities to empower Indian farmers through technology. It notes that while agriculture contributes significantly to India's GDP and employment, farming has become unattractive to young people due to low incomes. The document outlines key statistics on India's agricultural land use and production volumes. It finds that despite being a top producer, India's farm productivity is low due to traditional practices and lack of mechanization. The document argues that adopting modern technologies could boost utilization, reduce food insecurity, drive rural jobs and lower costs. However, it also notes challenges like balancing technology with the environment and labor. It concludes that strategies are needed to effectively introduce new technologies, improve supply chains, set policies on technology/prices
The world is entering a period of economic uncertainty and the impact on global
economic growth is ambiguous. In contrast, these uncertainties are balancing on
emerging markets’ growth prospects particularly in India. Agriculture has always
been associated with the production of basic food crops. Agriculture and farming
were synonymous so long as farming was not commercialised. But as the process of
economic development accelerated, many other occupations allied to farming came to
be recognised as part of agriculture. Agriculture is the primary source of livelihood
for about 60% of India’s population (Situation Assessment Survey of Agricultural
Households, conducted by the National Sample Survey Office). The farming industry
will become arguably more important than ever before in the next few decades.
According to the UN Food and Agriculture Organization, the world will need to
produce 70% more food in 2050 than it did in 2006 to feed the growing population of
the earth (United Nations Food and Agriculture Organisation, 2012).To meet the
growing demand, farmers and agricultural companies are embracing technology for
analytics and greater production capabilities. In rural India, agriculture being one of
the largest sources of livelihood is exposed to periodic droughts and floods, and
farmers lack market access, marketing networks, and information systems. This paper
conceptualizes smart farming effectiveness and the main lessons that emanate from
this paper are that Internet of Things (IoT), combined with big data, provides farmers
with a wealth of information that they can use to maximize productivity in the
vulnerable environment and maintain the quality of food in the supply chain.
This document discusses how smart technology and the Internet of Things (IoT) can help address challenges in agriculture and increase food production. As the world's population grows, food production will need to increase by 70% by 2050. IoT technologies like sensors, drones, and satellite imagery can help farmers monitor soil conditions, irrigate and fertilize more efficiently, detect diseases earlier, and increase overall crop yields. By collecting and analyzing data from fields, farmers can gain insights to improve productivity while reducing environmental impacts. The document concludes that while challenges like infrastructure and awareness remain, IoT and smart farming approaches will be important for the future of Indian and global agriculture.
Farming techniques are becoming smarter with the use of new technologies. Smart farming uses tools like GPS, drones, sensors, and weather forecasting to increase yields, reduce costs and environmental impact, and minimize human errors. It provides benefits such as higher crop production through precision agriculture, lowered expenses via improved resource management, and better environmental stewardship. However, the effects on climate change are unclear as pesticide and fertilizer use may rise, and large-scale factory farming may still present social issues. Smart farming incorporates various digital technologies tailored to different agricultural operations and livestock monitoring.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Use of Technologies in Agriculture
1.
2. The use of technology is increasing day by
day.
We all depend on technology & we use
various technology to accomplish specific
tasks in our lives.
In today’s world, we are surrounded by a
lots of technologies.
So it is better to stay up-to-date with new
emerging technologies.
3. Technology has played a big role in developing the
agricultural industry.
Innovations in technologies have modernized the
agricultural field.
Various machineries & tools have helped the
farmers of our country to play a vital role in
developing the economy.
In India, the basic technology of agricultural
machines has changed little in the last century.
4. .
Around 58 % population of India depends on Agriculture.
Almost 60% of Indian land comprises of agricultural land
140.7 million hectare area is available for sown.
Agriculture & catch fishery is amongst the fastest growing
industries in India.
Agriculture continues to play a major role in Indian Economy.
5. Major Technological Advancements in
Agriculture
Mechanization
Chemical Fertilizers
Hybridization
Biotechnology
6. Pre & post harvesting technology
Energy saving technology
Environment protection technology
Information and Communication technology
GIS & RS technology
Internet/Intranet Technology
7. In agriculture, time & production are so
important; you have to plant in time,
harvest in time & deliver to stores in time.
Now a farmer can cultivate on more than 2
acres of land with less labor.
The use of planters & harvesters makes
the process so easy.
8. It helps in making products available on
markets in time from the farm.
With modern transportation, consumers can
have fresh crops available very easily.
It also helps farmers to easily transport
fertilizers & other farm products to their
farm.
It also speeds the supply of agro-products to
market .
9. It is one of the useful technology for both
farmers & the consumers.
These cooling facilities are installed in
food transportation trucks, so crops will
stay fresh.
Due to this, consumers get fresh products
& the farmers will sell all their products
because the demand will be high.
10. Plants which are produced genetically can
resist diseases & pests.
It rewards the farmer with good yields &
saves them time.
As they are resistant to most diseases &
pests, the farmer will spend less money on
pesticides.
11. Previously, farmers have to hunt for grass
for animals.
Now, these feeds can be manufactured &
consumed by animals.
They have extra nutrition which improves
health of animals.
The price of these feed is fair & low.
It saves time & money of the farmer.
12. Nowadays, mobiles & smartphones are playing a
vital role in accessing information about any topic.
Thus several mobile apps have been developed
for ease in work for the farmers.
These applications are more advanced & can give
accurate information.
With increase in craze of smartphones & tablets,
its market is likely to grow.
13. ID Apps : For identification purpose ( weeds, insects,etc.)
CALC Apps : For calculating purposes (Volume to spray, tank
mixes,etc.)
ECON Apps : For checking grain prices, market evolutions, news &
finances.
SCOUT Apps : For scouting purposes or for geo-positioning (soil
sampling, soil types, etc.)
GUIDE Apps : For diagnosing crop production issues in the field,
related to field guides.
GAG Apps : GAG (General Ag-Apps) for general use, management,
weather-related, magazines, & more
16. Indian agriculture is famous for its rich bio-diversity.
Average yield in India is just 30% to 50% of the highest
average yield in the world.
Agriculture in India is not technically developed.
Illiteracy and socio-economic backwardness results in
low productivity in India.
17. Green Revolution (1968)
Ever-Green Revolution (1996)
Blue Revolution (water, fish)
White Revolution (Milk)
Yellow Revolution (flower, edible)
Bio-Technology Revolution
ICT Revolution
18. Significance of technology in agriculture is increasing
day by day.
With improved technologies, we can have a high crop
yield.
It can save time & money.
It is very important to accelerate economy of the
country.
Both farmers & the consumers, can get the benefit of
advanced technologies.
In future, the agricultural field is likely to be more
advanced .