The document summarizes a partnership between the American Soybean Association (ASA) and John Deere to promote precision agriculture technologies to soybean farmers. It discusses a contest held by ASA where 15 farmers were selected to use John Deere's GreenStar precision agriculture system on their farms for a growing season. It then provides results from a survey of the 15 winners, finding most were pleased with the performance of the system and able to plant and spray more acres with it. It concludes discussing regional meetings held for farmers to learn about the benefits of precision agriculture technologies.
The document discusses the need for public-private partnerships in wheat production in India to boost productivity. It notes that while the public sector has established various research and extension organizations, wheat productivity remains low. The role of the private sector in wheat seed production and marketing has increased in recent years. However, marketing public varieties remains challenging for private companies due to competition and demand forecasting issues. The document advocates for complementary roles between the public and private sectors in research, distribution of public technologies, and marketing/extension. It provides an example of one private company, DCM Shriram Ltd., that has invested in wheat research and seen growing sales of its proprietary varieties in India.
South central MN Yields from Your Fields -Nov13DuPont Pioneer
This is a special edition issue of Walking Your Fields newsletter that contains Yields from Your fields plot results for 2013 in south central Minnesota.
Walking Your Fields is a written by DuPont Pioneer agronomists in Minnesota and is distributed on behalf of DuPont Pioneer account managers and Pioneer sales professionals.
Tim Bay: How Wilton Brands is Leveraging Video to Increase Customer EngagementDigital Megaphone
The document discusses leveraging video content to engage consumers on social media platforms like YouTube and Facebook. It emphasizes that delivering valuable video content allows companies to reach and engage consumers. Specifically, it recommends that companies focus on creating inspiring, educational or entertaining original video content, as well as commissioned and curated content. Case studies show how video marketing increased engagement, views and new followers. The key is determining the right mix of content types to suit each company's goals and resources.
This document describes an E-AGRO mobile application that aims to support sustainable development of farmers in India. The application provides farmers access to information on crop details, alerts, weather, asking questions, and farmer profile settings. It aims to educate farmers on best practices, identify viable farming systems, ensure optimal resource use, and maintain sustainable production without damage to resources or the environment. The application is designed to address issues facing Indian agriculture like increasing needs, degrading resources, and higher costs by facilitating access to latest technologies and government services for rural farmers.
The document summarizes the results of the 2009 Secure Optimal Yield (SOY) program partnership between the American Soybean Association (ASA) and BASF. Over 300,000 soybean acres were planted by ASA members in the program. Participants applied residual herbicides and fungicides to test acres, finding yield increases of up to 8 bushels per acre compared to control acres with only glyphosate. The top yield winner received a truck and trip to an agriculture conference. The program helped boost ASA membership and supported the use of integrated pest management practices.
Brothers Jake and Blake Drenon are using grid sampling technology and GPS-assisted variable rate fertilizer application on their cattle operation in Missouri. Grid sampling creates a detailed soil profile that shows fertility strengths and weaknesses across their land. This allows them to variably apply fertilizer based on each area's needs, increasing productivity while reducing over-application and costs. They have seen a 20-30% increase in carrying capacity through this innovative approach. The article promotes grid sampling as a tool for young beef producers to boost profitability now and in the future.
IRJET- Smart Agriculture Assistant and Crop Price PedictionIRJET Journal
This document describes a smart agriculture assistant and crop price prediction web application. The application helps farmers by recommending which crops to grow based on soil sample analysis. It also provides fertilizer recommendations and predicted crop yields. Farmers can access daily live crop prices to help set selling prices. The application additionally predicts crop prices for the next 12 months. This helps farmers anticipate prices at harvest time. The system uses machine learning techniques like decision trees to generate crop price predictions based on past data. Screenshots demonstrate the system providing soil testing, crop/fertilizer recommendations, price data, and online agricultural product shopping to farmers.
This document outlines an "Insight as a Service" architecture for smarter agriculture using data collection, analytics, and decision support. It describes collecting data from various sources like sensors, weather, and social media and analyzing it using IBM technologies like Watson and cloud services. The goal is providing insights and recommendations to help farmers increase yields, optimize costs, and improve farm management.
The document discusses the need for public-private partnerships in wheat production in India to boost productivity. It notes that while the public sector has established various research and extension organizations, wheat productivity remains low. The role of the private sector in wheat seed production and marketing has increased in recent years. However, marketing public varieties remains challenging for private companies due to competition and demand forecasting issues. The document advocates for complementary roles between the public and private sectors in research, distribution of public technologies, and marketing/extension. It provides an example of one private company, DCM Shriram Ltd., that has invested in wheat research and seen growing sales of its proprietary varieties in India.
South central MN Yields from Your Fields -Nov13DuPont Pioneer
This is a special edition issue of Walking Your Fields newsletter that contains Yields from Your fields plot results for 2013 in south central Minnesota.
Walking Your Fields is a written by DuPont Pioneer agronomists in Minnesota and is distributed on behalf of DuPont Pioneer account managers and Pioneer sales professionals.
Tim Bay: How Wilton Brands is Leveraging Video to Increase Customer EngagementDigital Megaphone
The document discusses leveraging video content to engage consumers on social media platforms like YouTube and Facebook. It emphasizes that delivering valuable video content allows companies to reach and engage consumers. Specifically, it recommends that companies focus on creating inspiring, educational or entertaining original video content, as well as commissioned and curated content. Case studies show how video marketing increased engagement, views and new followers. The key is determining the right mix of content types to suit each company's goals and resources.
This document describes an E-AGRO mobile application that aims to support sustainable development of farmers in India. The application provides farmers access to information on crop details, alerts, weather, asking questions, and farmer profile settings. It aims to educate farmers on best practices, identify viable farming systems, ensure optimal resource use, and maintain sustainable production without damage to resources or the environment. The application is designed to address issues facing Indian agriculture like increasing needs, degrading resources, and higher costs by facilitating access to latest technologies and government services for rural farmers.
The document summarizes the results of the 2009 Secure Optimal Yield (SOY) program partnership between the American Soybean Association (ASA) and BASF. Over 300,000 soybean acres were planted by ASA members in the program. Participants applied residual herbicides and fungicides to test acres, finding yield increases of up to 8 bushels per acre compared to control acres with only glyphosate. The top yield winner received a truck and trip to an agriculture conference. The program helped boost ASA membership and supported the use of integrated pest management practices.
Brothers Jake and Blake Drenon are using grid sampling technology and GPS-assisted variable rate fertilizer application on their cattle operation in Missouri. Grid sampling creates a detailed soil profile that shows fertility strengths and weaknesses across their land. This allows them to variably apply fertilizer based on each area's needs, increasing productivity while reducing over-application and costs. They have seen a 20-30% increase in carrying capacity through this innovative approach. The article promotes grid sampling as a tool for young beef producers to boost profitability now and in the future.
IRJET- Smart Agriculture Assistant and Crop Price PedictionIRJET Journal
This document describes a smart agriculture assistant and crop price prediction web application. The application helps farmers by recommending which crops to grow based on soil sample analysis. It also provides fertilizer recommendations and predicted crop yields. Farmers can access daily live crop prices to help set selling prices. The application additionally predicts crop prices for the next 12 months. This helps farmers anticipate prices at harvest time. The system uses machine learning techniques like decision trees to generate crop price predictions based on past data. Screenshots demonstrate the system providing soil testing, crop/fertilizer recommendations, price data, and online agricultural product shopping to farmers.
This document outlines an "Insight as a Service" architecture for smarter agriculture using data collection, analytics, and decision support. It describes collecting data from various sources like sensors, weather, and social media and analyzing it using IBM technologies like Watson and cloud services. The goal is providing insights and recommendations to help farmers increase yields, optimize costs, and improve farm management.
The journal publishes original works with practical significance and academic value. Authors are invited to submit theoretical or empirical papers in all aspects of management, including strategy, human resources, marketing, operations, technology, information systems, finance and accounting, business economics, and public sector management. IJMRR is an international forum for research that advances the theory and practice of management. IJMRR is an international forum for research that advances the theory and practice of management. Organizational Behaviour, Rural Marketing, Business & Ethics International, Business & Ethics International, Business & Ethics International. All papers submitted to IJMRR are subject to a double-blind peer review process. All papers submitted to IJMRR are subject to a double-blind peer review process.
[Webinar recording in last slide or at https://youtu.be/DMg9UI7Ur0M, 26/3/2018]
As part of its work on farmers’ data rights and following up on the face-to-face course on Farmers’ Access to Data organized in Centurion in November 2017, GFAR collaborates with the Global Open Data for Agriculture and Nutrition initiative (GODAN) and the Technical Center for Agricultural and Rural Cooperarion (CTA) on a series of webinars on data-driven agriculture, its opportunities and its challenges.
Overview of webinar #3
This webinar is a continuation of exploring digital agriculture for smallholder farmers. The first webinar provided an overview of digital agriculture, the trends impacting it, and it advantages and challenges for smallholder farmers. The second identified specific data needed by farmers, as well as potential sources.
“Crossing the Donga” will provide smallholder farmers, and those who support them, specific methods for ensuring farmer-centric solutions. The webinar will examine some of the key challenges that are blocking adoption of digital architecture by smallholder farmers. Attendees will learn a process for mapping their data needs, based on their goals and key tasks. Attendees will learn the foundational market model, and how to create value for success.
About the presenter
Dan Berne is a highly regarded professional business growth strategist with over 30 years’ experience. Dan led the effort to create an Ag Irrigation market strategy for the Northwest Energy Efficiency Alliance (NEEA). He also conducted grower experience studies to help identify barriers to grower adoption of energy saving practices. Dan wrote or co-wrote many of the NEEA Ag Irrigation reports. Dan serves as the Project Manager on AgGateway’s Precision Ag Irrigation Language data standards project. He is an affiliate of the Chasm Institute, and a certified practitioner of Innovation Games.
Dan started the “Lagom Ag Initiative” within his company to help accelerate the adoption of precision farming practices and improve the use of digital agricultural methodologies. Lagom is a Swedish word that means “just enough.” It is also used to mean “simply perfect.” It fits our philosophy of helping farmers use just enough water, just enough fertilizers, just enough energy to be profitable while increasing or maintaining yield.
This panel discussion at Crops Day 2015 featured three speakers discussing their experiences with precision agriculture technologies on their farms. Mark Ribey of Biermans Farms discussed how they have implemented GPS guidance systems for tillage, planting, and spraying over the past 20 years, reducing overlaps and increasing efficiency. He also discussed using data management software and variable rate planting. Paul Raymer of Practical Precision discussed using greenseeker sensors and variable rate nitrogen application to reduce inputs and increase profits. He also discussed using high resolution soil mapping to identify management zones.
This document discusses the growing role of data and technology in agriculture. It notes that farms are generating huge amounts of data from soils, genetics, machinery sensors, weather, and remote sensing. However, for data to improve farm income, it must impact key factors like yield, price, and costs. Data standards and privacy protections need to be established to allow easy sharing and use of data. Both small and big data can provide insights if used through farm management software, helping farmers make better decisions and collaborate more effectively.
This document discusses the growing role of data and technology in agriculture. It notes that farms are generating huge amounts of data from soils, genetics, machinery sensors, weather, and remote sensing. However, for data and technology to truly benefit farms, they must impact the basic formula of increasing yield, price or decreasing costs. It also stresses the need for data privacy, standards, and systems that make it easy for data to move from tractors to the cloud. Adoption of farm management software is key to help farmers capture, analyze and make decisions from their own data at various scales.
IRJET- Price Forecasting System for Crops at the Time of SowingIRJET Journal
1. The document proposes a price forecasting system for crops in India that uses past price data and a ARIMA (Auto Regressive Integrated Moving Average) model for time series analysis.
2. It analyzes factors like weather, soil conditions, production levels that affect crop prices. The proposed system would predict prices at the time of sowing based on these factors.
3. Preliminary results show the ARIMA model has potential to predict crop prices up to 95% accuracy and will improve with more daily price data. Accurate forecasts could help farmers and policymakers.
IRJET- Smart Farming Crop Yield Prediction using Machine LearningIRJET Journal
The document proposes a method for smart farming and crop yield prediction using machine learning algorithms like Support Vector Machine and Random Forest. Historical agricultural data on factors like moisture, rainfall, temperature and humidity is collected and analyzed to predict crop yields and whether conditions will be excellent, good, or poor. The goal is to help farmers increase profits by providing insights into how environmental conditions impact crops.
This document describes an agricultural advisory system called Agriculture GURU that aims to help farmers increase profits. It does this by collecting farming data from farmers in a locality, analyzing it over a year, and providing customized advice on optimal crops and practices. The system considers details like expenses, yields and selling prices to identify top performers and suggest improvements. Its goal is to guide farmers towards more profitable decisions through localized information sharing and analytics, addressing issues like declining global food production and rising hunger.
Precision agriculture Market PPT 2021: Size, Growth, Demand and Forecast til...IMARC Group
According to the latest report by IMARC Group,the global precision agriculture market exhibited strong growth during 2015-2020.
Precision agriculture, also known as satellite agriculture, refers to one of the most popular innovations in modern farming.
Dr Dev Kambhampati | USDA- On the Doorsteps of IT Age: Precision AgricultureDr Dev Kambhampati
This document summarizes a report on the adoption of precision agriculture technologies in the United States over the past 10 years based on Agricultural Resource Management Survey data. It finds that while the use of yield monitors has increased and is now used on over 40% of corn and soybean acres, adoption of GPS mapping and variable-rate input application technologies has been more limited, with only 12-24% of corn acres and 8-17% of soybean acres using these approaches. The report examines trends in adoption rates and differences in input use and yields between adopters and non-adopters of various precision technologies.
This document discusses how precision farming and big data can help improve agriculture. It notes that a majority of India's population depends on agriculture but farmers often lack information which can hurt crop yields. New technologies using sensors, cloud computing, and mobile phones can now provide farmers real-time data on soil conditions, weather, and crop health to help maximize production. Data mining techniques like classification and clustering can analyze large agricultural data sets to predict outcomes and identify patterns. This information can help farmers choose optimal crops and growing practices and help businesses anticipate supply and demand trends to better match production and pricing.
IRJET- Crop Yield Prediction based on Climatic ParametersIRJET Journal
The document describes a study that developed a machine learning model and web application to predict crop yields based on climatic parameters. The model was trained using a random forest algorithm on historical crop production and climate data from Maharashtra, India. The application allows farmers to input details of their district, crop, and field area to receive a predicted crop yield output. The model achieved 87% accuracy on 10-fold cross validation testing. The goal was to help farmers and policymakers make informed decisions based on predicted yields under varying climate conditions.
Agriculture plays an important role in the economy of our country. Over 58 percent of the rural households depend on the agriculture sector as their means of livelihood. Agriculture is one of the major contributors to Gross Domestic Product(GDP). Seeds are the soul of agriculture. This application helps in reducing the time for the researchers as well as farmers to know the seedling parameters. The application helps the farmers to know about the percentage of seedlings that will grow and it is very essential in estimating the yield of that particular crop. Manual calculation may lead to some error, to minimize that error, the developed app is used. The scientist and farmers require the app to know about the physiological seed quality parameters and to take decisions regarding their farming activities. In this article a desktop app for seed germination percentage and vigour index calculation are developed in PHP scripting language.
The document describes IBM Food Trust, a blockchain-based food traceability system. It allows participants across the food supply chain to securely share information to track food products, mitigate contamination risks, reduce waste, and ensure freshness and quality. Key features include end-to-end traceability of products, easy verification of certifications through digitization of documents, and controlled data access so participants only see permissioned data. The system aims to involve millions of participants to gain visibility across global supply chains.
The Brussels Development Briefing n.45 on the subject of “Smart and Affordable farming solutions for Africa: the next driver for agricultural transformation” was held in Brussels at 09:00-13:00 on 13th July 2016 at the Albert Borschette Congress Center, Room 1.A (Rue Froissart 36, 1040 Brussels). This Briefing was organised by the ACP-EU Technical Centre for Agricultural and Rural Cooperation (CTA), in collaboration with the European Commission, the the European Commission / DEVCO, the ACP Secretariat, CONCORD, CEMA, Agricord and the PanAfrican Farmer’s Organisation (PAFO).
IRJET- Survey of Crop Recommendation SystemsIRJET Journal
This document summarizes and compares several papers on crop recommendation systems. It discusses papers that use techniques like artificial neural networks, ensemble models combining multiple algorithms like random trees and KNN, and algorithms like SVM. The document also compares the modules used in different systems like location detection, data analysis, similarity detection and recommendation generation. It concludes that using ensemble methods can improve accuracy over single algorithms and future work could integrate more factors like economic conditions and land area into recommendation systems.
Precision agriculture involves collecting data about variability within fields in order to make targeted management decisions on a sub-field level. This allows for more efficient use of inputs like fertilizer and chemicals by varying application rates within a single field based on differences in soil type, crop growth, and other factors. While the concept has existed for hundreds of years, recent technologies like GPS, GIS, sensors, and data analysis software have enabled much more precise data collection and implementation at scale. Potential benefits include cost savings from reduced input usage, improved environmental stewardship, and increased economic returns through optimized field management.
Cultivation Process Facilitator for Selected Five Crops in Dry Zone Sri LankaIRJET Journal
This document describes a web-based solution called the Cultivation Process Facilitator developed for farmers in Sri Lanka. It aims to help farmers with various aspects of crop cultivation like selecting profitable crop combinations, managing fertilizer and pesticide use, scheduling water supply, and providing alternatives for market threats or natural disasters. The system uses algorithms and data on crops, soil conditions, market prices etc. to provide personalized recommendations and schedules to farmers throughout the cultivation season. It is intended to help farmers make better decisions than relying only on traditional knowledge or advice from agricultural institutions.
Precision agriculture involves collecting data about variability within fields in order to make targeted management decisions in smaller subfield areas. It utilizes technologies like GPS, GIS, yield monitors, and remote sensing to gather and analyze spatial and temporal data on factors like soil composition, crop yields, and pest populations. This allows for more efficient and environmentally friendly practices like variable rate application of inputs tailored to each subfield's specific needs, reducing costs and increasing yields. While the concept has existed for hundreds of years, recent technological advances have enabled much finer-scale data collection and analysis, driving improved management precision.
The journal publishes original works with practical significance and academic value. Authors are invited to submit theoretical or empirical papers in all aspects of management, including strategy, human resources, marketing, operations, technology, information systems, finance and accounting, business economics, and public sector management. IJMRR is an international forum for research that advances the theory and practice of management. IJMRR is an international forum for research that advances the theory and practice of management. Organizational Behaviour, Rural Marketing, Business & Ethics International, Business & Ethics International, Business & Ethics International. All papers submitted to IJMRR are subject to a double-blind peer review process. All papers submitted to IJMRR are subject to a double-blind peer review process.
[Webinar recording in last slide or at https://youtu.be/DMg9UI7Ur0M, 26/3/2018]
As part of its work on farmers’ data rights and following up on the face-to-face course on Farmers’ Access to Data organized in Centurion in November 2017, GFAR collaborates with the Global Open Data for Agriculture and Nutrition initiative (GODAN) and the Technical Center for Agricultural and Rural Cooperarion (CTA) on a series of webinars on data-driven agriculture, its opportunities and its challenges.
Overview of webinar #3
This webinar is a continuation of exploring digital agriculture for smallholder farmers. The first webinar provided an overview of digital agriculture, the trends impacting it, and it advantages and challenges for smallholder farmers. The second identified specific data needed by farmers, as well as potential sources.
“Crossing the Donga” will provide smallholder farmers, and those who support them, specific methods for ensuring farmer-centric solutions. The webinar will examine some of the key challenges that are blocking adoption of digital architecture by smallholder farmers. Attendees will learn a process for mapping their data needs, based on their goals and key tasks. Attendees will learn the foundational market model, and how to create value for success.
About the presenter
Dan Berne is a highly regarded professional business growth strategist with over 30 years’ experience. Dan led the effort to create an Ag Irrigation market strategy for the Northwest Energy Efficiency Alliance (NEEA). He also conducted grower experience studies to help identify barriers to grower adoption of energy saving practices. Dan wrote or co-wrote many of the NEEA Ag Irrigation reports. Dan serves as the Project Manager on AgGateway’s Precision Ag Irrigation Language data standards project. He is an affiliate of the Chasm Institute, and a certified practitioner of Innovation Games.
Dan started the “Lagom Ag Initiative” within his company to help accelerate the adoption of precision farming practices and improve the use of digital agricultural methodologies. Lagom is a Swedish word that means “just enough.” It is also used to mean “simply perfect.” It fits our philosophy of helping farmers use just enough water, just enough fertilizers, just enough energy to be profitable while increasing or maintaining yield.
This panel discussion at Crops Day 2015 featured three speakers discussing their experiences with precision agriculture technologies on their farms. Mark Ribey of Biermans Farms discussed how they have implemented GPS guidance systems for tillage, planting, and spraying over the past 20 years, reducing overlaps and increasing efficiency. He also discussed using data management software and variable rate planting. Paul Raymer of Practical Precision discussed using greenseeker sensors and variable rate nitrogen application to reduce inputs and increase profits. He also discussed using high resolution soil mapping to identify management zones.
This document discusses the growing role of data and technology in agriculture. It notes that farms are generating huge amounts of data from soils, genetics, machinery sensors, weather, and remote sensing. However, for data to improve farm income, it must impact key factors like yield, price, and costs. Data standards and privacy protections need to be established to allow easy sharing and use of data. Both small and big data can provide insights if used through farm management software, helping farmers make better decisions and collaborate more effectively.
This document discusses the growing role of data and technology in agriculture. It notes that farms are generating huge amounts of data from soils, genetics, machinery sensors, weather, and remote sensing. However, for data and technology to truly benefit farms, they must impact the basic formula of increasing yield, price or decreasing costs. It also stresses the need for data privacy, standards, and systems that make it easy for data to move from tractors to the cloud. Adoption of farm management software is key to help farmers capture, analyze and make decisions from their own data at various scales.
IRJET- Price Forecasting System for Crops at the Time of SowingIRJET Journal
1. The document proposes a price forecasting system for crops in India that uses past price data and a ARIMA (Auto Regressive Integrated Moving Average) model for time series analysis.
2. It analyzes factors like weather, soil conditions, production levels that affect crop prices. The proposed system would predict prices at the time of sowing based on these factors.
3. Preliminary results show the ARIMA model has potential to predict crop prices up to 95% accuracy and will improve with more daily price data. Accurate forecasts could help farmers and policymakers.
IRJET- Smart Farming Crop Yield Prediction using Machine LearningIRJET Journal
The document proposes a method for smart farming and crop yield prediction using machine learning algorithms like Support Vector Machine and Random Forest. Historical agricultural data on factors like moisture, rainfall, temperature and humidity is collected and analyzed to predict crop yields and whether conditions will be excellent, good, or poor. The goal is to help farmers increase profits by providing insights into how environmental conditions impact crops.
This document describes an agricultural advisory system called Agriculture GURU that aims to help farmers increase profits. It does this by collecting farming data from farmers in a locality, analyzing it over a year, and providing customized advice on optimal crops and practices. The system considers details like expenses, yields and selling prices to identify top performers and suggest improvements. Its goal is to guide farmers towards more profitable decisions through localized information sharing and analytics, addressing issues like declining global food production and rising hunger.
Precision agriculture Market PPT 2021: Size, Growth, Demand and Forecast til...IMARC Group
According to the latest report by IMARC Group,the global precision agriculture market exhibited strong growth during 2015-2020.
Precision agriculture, also known as satellite agriculture, refers to one of the most popular innovations in modern farming.
Dr Dev Kambhampati | USDA- On the Doorsteps of IT Age: Precision AgricultureDr Dev Kambhampati
This document summarizes a report on the adoption of precision agriculture technologies in the United States over the past 10 years based on Agricultural Resource Management Survey data. It finds that while the use of yield monitors has increased and is now used on over 40% of corn and soybean acres, adoption of GPS mapping and variable-rate input application technologies has been more limited, with only 12-24% of corn acres and 8-17% of soybean acres using these approaches. The report examines trends in adoption rates and differences in input use and yields between adopters and non-adopters of various precision technologies.
This document discusses how precision farming and big data can help improve agriculture. It notes that a majority of India's population depends on agriculture but farmers often lack information which can hurt crop yields. New technologies using sensors, cloud computing, and mobile phones can now provide farmers real-time data on soil conditions, weather, and crop health to help maximize production. Data mining techniques like classification and clustering can analyze large agricultural data sets to predict outcomes and identify patterns. This information can help farmers choose optimal crops and growing practices and help businesses anticipate supply and demand trends to better match production and pricing.
IRJET- Crop Yield Prediction based on Climatic ParametersIRJET Journal
The document describes a study that developed a machine learning model and web application to predict crop yields based on climatic parameters. The model was trained using a random forest algorithm on historical crop production and climate data from Maharashtra, India. The application allows farmers to input details of their district, crop, and field area to receive a predicted crop yield output. The model achieved 87% accuracy on 10-fold cross validation testing. The goal was to help farmers and policymakers make informed decisions based on predicted yields under varying climate conditions.
Agriculture plays an important role in the economy of our country. Over 58 percent of the rural households depend on the agriculture sector as their means of livelihood. Agriculture is one of the major contributors to Gross Domestic Product(GDP). Seeds are the soul of agriculture. This application helps in reducing the time for the researchers as well as farmers to know the seedling parameters. The application helps the farmers to know about the percentage of seedlings that will grow and it is very essential in estimating the yield of that particular crop. Manual calculation may lead to some error, to minimize that error, the developed app is used. The scientist and farmers require the app to know about the physiological seed quality parameters and to take decisions regarding their farming activities. In this article a desktop app for seed germination percentage and vigour index calculation are developed in PHP scripting language.
The document describes IBM Food Trust, a blockchain-based food traceability system. It allows participants across the food supply chain to securely share information to track food products, mitigate contamination risks, reduce waste, and ensure freshness and quality. Key features include end-to-end traceability of products, easy verification of certifications through digitization of documents, and controlled data access so participants only see permissioned data. The system aims to involve millions of participants to gain visibility across global supply chains.
The Brussels Development Briefing n.45 on the subject of “Smart and Affordable farming solutions for Africa: the next driver for agricultural transformation” was held in Brussels at 09:00-13:00 on 13th July 2016 at the Albert Borschette Congress Center, Room 1.A (Rue Froissart 36, 1040 Brussels). This Briefing was organised by the ACP-EU Technical Centre for Agricultural and Rural Cooperation (CTA), in collaboration with the European Commission, the the European Commission / DEVCO, the ACP Secretariat, CONCORD, CEMA, Agricord and the PanAfrican Farmer’s Organisation (PAFO).
IRJET- Survey of Crop Recommendation SystemsIRJET Journal
This document summarizes and compares several papers on crop recommendation systems. It discusses papers that use techniques like artificial neural networks, ensemble models combining multiple algorithms like random trees and KNN, and algorithms like SVM. The document also compares the modules used in different systems like location detection, data analysis, similarity detection and recommendation generation. It concludes that using ensemble methods can improve accuracy over single algorithms and future work could integrate more factors like economic conditions and land area into recommendation systems.
Precision agriculture involves collecting data about variability within fields in order to make targeted management decisions on a sub-field level. This allows for more efficient use of inputs like fertilizer and chemicals by varying application rates within a single field based on differences in soil type, crop growth, and other factors. While the concept has existed for hundreds of years, recent technologies like GPS, GIS, sensors, and data analysis software have enabled much more precise data collection and implementation at scale. Potential benefits include cost savings from reduced input usage, improved environmental stewardship, and increased economic returns through optimized field management.
Cultivation Process Facilitator for Selected Five Crops in Dry Zone Sri LankaIRJET Journal
This document describes a web-based solution called the Cultivation Process Facilitator developed for farmers in Sri Lanka. It aims to help farmers with various aspects of crop cultivation like selecting profitable crop combinations, managing fertilizer and pesticide use, scheduling water supply, and providing alternatives for market threats or natural disasters. The system uses algorithms and data on crops, soil conditions, market prices etc. to provide personalized recommendations and schedules to farmers throughout the cultivation season. It is intended to help farmers make better decisions than relying only on traditional knowledge or advice from agricultural institutions.
Precision agriculture involves collecting data about variability within fields in order to make targeted management decisions in smaller subfield areas. It utilizes technologies like GPS, GIS, yield monitors, and remote sensing to gather and analyze spatial and temporal data on factors like soil composition, crop yields, and pest populations. This allows for more efficient and environmentally friendly practices like variable rate application of inputs tailored to each subfield's specific needs, reducing costs and increasing yields. While the concept has existed for hundreds of years, recent technological advances have enabled much finer-scale data collection and analysis, driving improved management precision.
This document summarizes a joint trade mission to India by soybean producers from the United States, Argentina, Brazil, and Paraguay. The goal was to explore opportunities for cooperation between the countries to promote soybean demand and use in India. During the mission, South American producers observed checkoff-funded promotional programs in India implemented by the American Soybean Association to build demand through feed workshops, marketing, and soyfood training. The producers agreed on the potential for working together in India, which has a large population and growing demand for protein but currently relies mostly on domestic soybean production.
The American Soybean Association (ASA) and the US Department of Agriculture (USDA) shipped 3,525 bags of soy flour from Virginia to Afghanistan. The soy flour will deliver high-quality protein to 5,000 women and their families. ASA and USDA representatives witnessed the loading of the soy flour onto containers at the Port of Virginia for shipping. The soy flour will travel over 7,000 miles before being distributed in Afghanistan to improve nutrition. This shipment is part of ASA's larger, multi-year $12 million project called SarAi to benefit Afghan farmers, food processors, and communities through providing soybeans and soy products.
- The document discusses the history and success of market development efforts by the American Soybean Association (ASA) to promote US soybean exports to Japan over 50 years.
- ASA opened their first international marketing office in Japan in 1956, funded by the USDA, making it the first foreign commodity office to receive such funding.
- Through various partnership programs and activities with Japanese industry groups over decades, such as quality conferences, seminars, and trade shows, ASA helped establish Japan as the top export market for US soybeans, responsible for over $1 billion in purchases annually.
- The 50th anniversary of ASA's Japan office will be celebrated this August with US and Japanese soy industry members to commem
U.S. farmers are helping address renewable energy needs by growing soybeans processed into biodiesel. Biodiesel production increases demand for U.S. farm products while creating jobs and stimulating rural economies. It also increases energy security and reduces emissions. For every unit of fossil energy used to make biodiesel, 3.5 units of renewable energy are gained. Biodiesel offers fuel economy and performance similar to diesel while providing superior lubricity and reducing emissions.
1. Precision
Partnership
A Special Growers’ Guide
from the American Soybean
Association, September 2007
This publication is sponsored by John Deere Ag Management Solutions
Strategic Focus on Success
Since its founding in 1920, the American
Soybean Association (ASA) has been resolute in its
mission to increase market opportunities and
value for U.S. soybean farmers. ASA’s efforts are
founded upon a regimen of strategic objectives
that focus on keeping U.S. soybean producers the
most efficient and successful in the world.
“With an ever-growing global demand for soy-
beans, and the reduced number of soybean acres
planted this year, the United States has to find
ways to grow more soybeans more profitably on
every acre planted,”said ASA President John
Hoffman, a producer from Waterloo, Iowa.
“Precision farming methods are one of the keys
to increasing productivity and improving the
competitiveness of U.S. agricultural products in
world markets.”
The ASA approached John Deere about part-
nering in an effort to educate farmers on precision
farming and provide information to evaluate how
this new technology might fit into their operations.
The result is the ASA-John Deere“Reach for the
Stars”Program, a program that represents an edu-
cation-based partnership that encourages produc-
ers to“Reach for the Stars”with global positioning
satellite technology and support systems that will
conserve resources and advance farm manage-
ment practices to new heights.
“As the world’s leading producer of agricultural
equipment,goods and services,John Deere is
focused on the success of ag producers around
the world,”said John Deere AMS Marketing
Manager Mike Park.“Innovative precision ag solu-
tions allow greater efficiency and productivity,
ultimately leading to greater profitability.”
John Deere Ag Management Solutions
(AMS) is at the leading edge of providing
producers with many of the technologically
advanced tools and services necessary to
promote and secure agricultural sustainability.
A prime example is the John Deere GreenStarTM
System, which enables producers to make better
management decisions, increase productivity, and
provides value throughout the entire farming
operation.
“I believe precision agriculture is one of the
technologies that will help U.S. soybean producers
remain competitive and profitable in the future
through increased efficiency,”Hoffman said.“It is
one of the key elements that will help soybeans
compete for planted acres, and it is also one of the
technologies that will improve the sustainability of
U.S. soybean production.”
Through precision agriculture, producers can
more accurately evaluate optimum planting rates
and more precisely apply fertilizer and crop protec-
tion chemicals.
“ASA and John Deere are
working together
to help pro-
ducers better
understand
precision ag sys-
tems, and be
able to make an
educated decision
on how they will fit
into our operation,”
Hoffman said.“Not
only for the sake of
our bottom-line, but
for U.S. soybean cus-
tomers around the
world, precision ag is a
technology that’s worth
consideration.”
About the Contest
Earlier this year, ASA held a nationwide preci-
sion ag contest to provide growers with an oppor-
tunity to use one of 15 premium level precision
ag systems on their farm for the entire 2007 U.S.
growing season, and after the program ends,
Sign up today for this educational program and contest
and you could be one of 15 growers selected to
use a premium level John Deere precision ag system* on your
farm for the entire 2007 U.S. growing season.
TheAmerican SoybeanAssociation is partnering with
John DeereAg Management Solutions
to bring U.S. soybean producers
an unprecedented opportunity to learn more about precision ag systems.
Sign up now to receive a free packet of precision ag information, plus
complete contest rules and entry information.
If you want to bring more productivity to your farm, regardless of the color of your equipment,
this outstanding program is ideal for you.
2. qualified participants will be offered an opportuni-
ty to purchase the entire system, or just the com-
ponents they want to own, at a greatly reduced
price. More than 500 growers completed the
online entry form for the“Reach for the Stars”
contest.
“In today’s fast-paced business environment,
electronic communications are becoming more
and more critical to farm success,”Hoffman said.
“We felt it was important to select growers who
have an interest in using these new technologies.”
In addition, ASA checked contest entries for
completeness, and began looking at other demo-
graphic and geographic information, which
brought the list of semi-finalists down to 138
growers. ASA then reviewed individual grower
responses to questions such as,“Why are you
interested in using a precision ag system on your
farm?,”and“Tell us why you should be selected
to use a premium level John Deere Precision Ag
System on your farm for the entire 2007 U.S.
growing season.”
That process resulted in the selection of 15
contest finalists, and 5 alternates, that best repre-
sented a broad spectrum of growers by location,
farm size and experience level. For more informa-
tion about the contest, visit
www.SoyGrowers.com/pa/.
Summer Survey Data
To determine the growers’experience with
component installation and field usage, the ASA
conducted an in-depth survey of the 15 contest
winners in July. Each winner has the opportunity
to use the StarFireTM iTC receiver with SF2 signal,
the GreenStar Display 2600 with an AutoTracTM pro
module, an AutoTrac Universal Steering Kit, and
Apex Farm Management Software.
When they entered the contest, seven of the
winners reported they were already using a preci-
sion ag system, while eight of the winners said they
had no prior experience with precision ag on their
farm.Membership in the ASA was not a require-
ment, but later it was determined that nine of the
winners are in fact active members of the ASA.
“It was no surprise to me that the majority of
the winners were ASA members,”Hoffman said.
“ASA members are recognized as early adopters of
new technology, and I think‘Reach for the Stars’is
one of many reasons our members value the
opportunities ASA provides.”
The GreenStar system was installed by all 15
winners in one or more tractors. Six growers also
had components installed in harvesters, and five in
0
2000
4000
6000
8000
10000
12000
14000
Crops Covered with GreenStar System
by Contest Winners
13,330acresofCorn
10,445acresofSoybeans
1,400acresofRice
423acresofCotton
75acesofWheat
40acresofSorghum
484acresofOtherCrops
Corn
Soybeans
Rice
Cotton
Wheat
Sorghum
Other Crops
ACRES
0 2 4 6
Rating Product Performance of GreenStar
System by Contest Winners
Two growers said the performance exceeded their expectations
Four said they were very pleased with every aspect of the product
Five reported being generally pleased with the performance
Three said the product performed as they expected it would
One grower reported being disappointed with the performance*
COMMENTS
0
50
100
150
200
250
300
350
400
450
500
Grower 1 Grower 2 Grower 3 Grower 4
Field Green Star System Usage Hours by
Contest Winners
300-499Hours
200-299Hours
100-199Hours
50-99Hours*
*Grower reported he did not get the system installed until later in the season
HOURS
300-499Hours
200-299Hours
100-199Hours
50-99Hours*
*This grower, who installed the system in an articulated Case tractor that had a large spray tank mounted
on the front, said he hasn’t got all the kinks out of his system, but is looking forward to using the system
on his combine this fall
3. sprayers. Nine of the growers felt their John Deere
AMS dealer was very knowledgeable about the
equipment; five said that the dealer knew what to
do or found the answers; and one felt that the
process was about average for other equipment
installations.
When asked about the crops they covered this
spring with the GreenStar system, growers report-
ed using the GreenStar system on a total of 26,197
acres.The data provided by these growers indi-
cates that they collectively tested the GreenStar
system this spring for more than 3,000 hours in
actual field usage under real-world conditions.
Growers’ Comments
The contest winners were also asked to
respond to essay questions. For this issue of ASA
Today, ASA is featuring comments from seven of
the winners who were able to participate in one of
the three regional precision ag grower meetings
that ASA hosted in partnership with John Deere
during July.
When asked about the greatest advantage of
having a GreenStar system installed on his equip-
ment, Peter Kramer, who farms 1,100 acres near
Gibbon, Minn., said,“Being able to plant longer in
the day with less fatigue and not worrying about
following the marker when it’s dark.”The
GreenStar system“allows me to watch the equip-
ment and monitors more closely, giving me higher
quality stands and populations in the field.”
Scott Chesnut, who farms 1,600 acres near
Boone,Iowa,had similar thoughts.“Having the capa-
bility to do precision farming while planting and
spraying for long hours under marginal conditions
and still not experience operator fatigue,”Chesnut
said.He went on to say,“The AutoTrac allows you to
operate under very marginal conditions when
visibility is impaired by dust conditions,driving into
the sun in late afternoon,or at night while trying to
finish before a coming rain storm.”
When ASA visited with Chesnut at the Morton
meeting, he explained that he had a difficult
spring with too much rain leaving numerous wet
potholes. Chesnut said that after he mapped those
areas, it was incredible to watch as the AutoTrac
Universal Steering navigated around those areas
and right back on track on the other side.
Neal Kuhn, who farms 400 acres near Manilla,
Ind., said,“Since I am 69 years young, the ease of
operating equipment has been a great pleasure.
My rows are very straight and I can spray in the
same wheel tracks at all times to help prevent
compaction.”Minimizing com-
paction was a
benefit sited by several growers.
The greatest advantage for Chris
Von Holten, who farms 1,300 acres
near Walnut, Ill., was,“The ability to
move components from one piece of
equipment to another, and have the
GS2 system up and running in a
short time.”Von Holten also said,“The GS2 with
AutoTrac has allowed me to eliminate overlaps,
and I can spray faster because of not having to try
and see the foam marks after they settle into the
soybean canopy.”
When asked how the GreenStar system has
helped add value to his farming operation, David
Oberbroeckling, who farms 1,400 acres near
Davenport, Iowa, said“Auto steer is really a small
part of the big picture.The mapping and perma-
nent records are the most valuable part; docu-
menting where you did it, when you did it and
what you did. It sure beats scrambling to find
your notebooks.”
Oberbroeckling added,“This year we planted
corn and soybeans without using markers.”The
GreenStar system“makes it possible to have vari-
ety strips anywhere in the field by not planting
strips and coming back with different varieties.”
Even while planting on the contour,
Oberbroeckling said,“Every row in uniformly
spaced, which was impossible before.”
For Curtis Clayes, who farms 1,000 acres near
Delmar, Iowa, the value of the GreenStar system is
in“more accurate application of fertilizers, spraying
chemicals, and with planting.”
Ronald Tersteeg, who farms 3,000 acres near
Bird Island, Minn., said“The GreenStar system
allowed me to get more acres planted each day,
and on tillage equipment, it saved money and
time by avoiding overlaps.”Tersteeg also said he
appreciates being able to work after dark.
The panel discussion in Morton,Minn.,included (left to right)
University of Minnesota Precision Ag Specialist Jose
Hernandez,John Deere AMS Regional Specialist Jason
Schildroth,contest winners Ronald Tersteeg,Peter Kramer and
Scott Chesnut,and John Beadell of Kibble Equipment,is the
local John Deere AMS specialist from Redwood Falls,Minn.
(ASA photo by Bob Callanan)
4. Precision Ag Meetings
Many producers took advantage of the unique
opportunity to learn about the value of precision
ag systems at one of the three regional grower
meetings that were held in Morton, Minn., Plain
City, Ohio, and Bettendorf, Iowa.
Minnesota Soybean Growers Association
immediate past-President Bob Worth, Ohio
Soybean Association President Mark Watkins, and
Iowa Soybean Association President Ray Gaesser
welcomed growers to the meeting in their respec-
tive state and produced an overview of current
state activities.
ASA President Hoffman, and ASA Board mem-
bers Rob Joslin and Gary Joachim, each participat-
ed in one of the meetings and made a presenta-
tion on how precision ag is helping to meet global
demand for U.S. soy.
“These meetings are a great opportunity for
anyone who has considered integrating precision
ag into their operation,”Hoffman said.
Guest speakers included Jose Hernandez, a
Research Specialist/Lecturer in the Precision
Agriculture Center, Department of Soil,Water, and
Climate at the University of Minnesota; Matt Darr, a
Research Associate & Precision Agriculture
Specialist with the Agricultural Engineering
Department at The Ohio State University, and Mark
Hanna, an Extension Agricultural Engineer with
Iowa State University.
In addition, John Deere AMS personnel pre-
sented an overview of precision ag equipment and
farm management software, which was followed
by an open panel discussion featuring contest
winners. After lunch, participants had an opportu-
nity to take part in equipment demonstrations fea-
turing the John Deere GreenStar 2 System includ-
ing the AutoTrac Universal Steering kit and the
newly introduced iTEC Pro!
A series of three more regional grower educa-
tion meetings is planned for January 2008.
“Anyone who sees benefit in improving farm-
ing efficiency, regardless of farm size or equipment
type, will gain valuable information from these ses-
sions. It will also be a great opportunity for grow-
ers to see first hand some of the new technology
that John Deere has introduced,”adds Mike Park.
Watch for additional details of meeting dates
and locations in future ASA publications.
Participants at the Morton,Minn.,meeting had an opportunity
to take part in equipment demonstrations featuring the John
Deere GreenStar 2 System including the AutoTrac Universal
Steering kit and the newly introduced iTEC Pro! (ASA photo by
Bob Callanan)
At the grower meeting in Bettendorf,Iowa,Bob Braden gets a
hands on demonstration of the GreenStar 2 System with the
help of Josh Uhlman,AMS Regional Specialist.(BCS
Communications photo by Melissa Sandfort)