Digital extension pilots in India provided empirical evidence that digital advisories can improve farm productivity and profitability. Randomized control trials showed treatments that combined critical inputs, demonstrations and video/Whatsapp services led to higher yields than other treatments. Farmers perceived weather forecasts, market prices access and diagnostics as most useful digital services, though realized utility was lower. Industry stakeholders saw potential for disruptive technologies but barriers to adoption. Direct market interventions helped farmers realize better prices. Smartphone apps for irrigation pump control provided benefits like time savings and flexibility. Desk research found many digital startups in areas like market access, predictive analytics and financial inclusion that could integrate with extension systems. The studies highlighted tipping points for digital disruption in agriculture through
Agri Tech Startups: Redefining Indian AgricultureShailesh Herale
This presentation highlights the concept of startup and current scenario of agritech startups, government support/incubators/ accelerators related to agritech startup, bottlenecks for agritech startups in India and case studies highlighting innovative agritech solutions.
FASAL, is an Artificial Intelligence (AI) powered IoT platform, helps farmers to make a data-driven decision.
In the slides you will understand, how the Fasal is acquiring customers and maintaining relationship.
The document discusses public-private partnerships (PPP) in agribiotech research and development in India. It notes that while the seed industry in India is growing, private sector investment in R&D remains low compared to countries like the US. It identifies several challenges with current PPP models, including a lack of mutual trust between public and private sectors and a lack of infrastructure and financial incentives. It recommends strengthening engagement between industries and public institutions to facilitate more partnerships and collaboration in agribiotech innovation.
Towards a Digital Extension Framework in Post- Covid Context: Functional Tra...Shaik N. Meera
This document outlines a proposed digital extension framework for the Near East and North Africa region in the post-COVID context. It discusses three levels of digital extension evolution and provides case studies of existing digital systems adapting to COVID. Key lessons include serving farmers differently in pre-production, production, and post-production through integrated digital advisory systems, platforms, and public-private partnerships. The framework proposes a consortium approach with financial, technology and agribusiness partners to provide localized extension functionality like advisories, market access, financial inclusion, and skills training through bundled digital tools and partnerships. The goal is a smart, human-centered digital design to accelerate extension in the region.
Agritech for effective agriculture managementMohammad Jilani
The document discusses the role of agricultural technology (AgriTech) in improving farming and meeting future food demands. AgriTech uses technology to increase agricultural efficiency, production, and farmer profits. Technologies like drones, mobile apps, ICT, and smart machines help farmers monitor crops, access market and weather information, and boost yields. These innovations are important for fulfilling the 70% increase in global food needs by 2050 and making agriculture a more attractive sector.
The document discusses e-agribusiness, which refers to conducting agricultural business transactions electronically over the internet. E-agribusiness can help farmers access information on commodity prices, cultivation practices, and find buyers for their produce online. It allows for organized trading between dispersed buyers and sellers. While e-agribusiness has potential benefits, its adoption in India still faces challenges like computer illiteracy, internet connectivity issues, and electricity outages. The document advocates that India's agricultural industry needs to embrace e-agribusiness to tap into its opportunities.
Agri Tech Startups: Redefining Indian AgricultureShailesh Herale
This presentation highlights the concept of startup and current scenario of agritech startups, government support/incubators/ accelerators related to agritech startup, bottlenecks for agritech startups in India and case studies highlighting innovative agritech solutions.
FASAL, is an Artificial Intelligence (AI) powered IoT platform, helps farmers to make a data-driven decision.
In the slides you will understand, how the Fasal is acquiring customers and maintaining relationship.
The document discusses public-private partnerships (PPP) in agribiotech research and development in India. It notes that while the seed industry in India is growing, private sector investment in R&D remains low compared to countries like the US. It identifies several challenges with current PPP models, including a lack of mutual trust between public and private sectors and a lack of infrastructure and financial incentives. It recommends strengthening engagement between industries and public institutions to facilitate more partnerships and collaboration in agribiotech innovation.
Towards a Digital Extension Framework in Post- Covid Context: Functional Tra...Shaik N. Meera
This document outlines a proposed digital extension framework for the Near East and North Africa region in the post-COVID context. It discusses three levels of digital extension evolution and provides case studies of existing digital systems adapting to COVID. Key lessons include serving farmers differently in pre-production, production, and post-production through integrated digital advisory systems, platforms, and public-private partnerships. The framework proposes a consortium approach with financial, technology and agribusiness partners to provide localized extension functionality like advisories, market access, financial inclusion, and skills training through bundled digital tools and partnerships. The goal is a smart, human-centered digital design to accelerate extension in the region.
Agritech for effective agriculture managementMohammad Jilani
The document discusses the role of agricultural technology (AgriTech) in improving farming and meeting future food demands. AgriTech uses technology to increase agricultural efficiency, production, and farmer profits. Technologies like drones, mobile apps, ICT, and smart machines help farmers monitor crops, access market and weather information, and boost yields. These innovations are important for fulfilling the 70% increase in global food needs by 2050 and making agriculture a more attractive sector.
The document discusses e-agribusiness, which refers to conducting agricultural business transactions electronically over the internet. E-agribusiness can help farmers access information on commodity prices, cultivation practices, and find buyers for their produce online. It allows for organized trading between dispersed buyers and sellers. While e-agribusiness has potential benefits, its adoption in India still faces challenges like computer illiteracy, internet connectivity issues, and electricity outages. The document advocates that India's agricultural industry needs to embrace e-agribusiness to tap into its opportunities.
#Organic Companies like #Sresta & #Timbaktu-Collective are always working to ensure only the very best reaches their customers. They have adopted Cropin #smartfarm and are always connected with their farms 24X7 from anywhere!
They have gained customers' trust by empowering them with #traceability: "Customer can take a walk through your farms by a simple scan of a QR/Bar code".
Read for more: http://eepurl.com/btxZZz
Try it at: smartfarm.cropin.in
CropIn is a farm management and data analytics platform that helps farmers improve efficiency, profitability, and crop yields. It provides personalized packages of practices, advisory services, and weather alerts to farmers. CropIn also helps agro-businesses and their field staff digitally manage farms in real-time through mobile apps. This allows for predictive risk management, geo-tagged information, and detailed reports on harvest forecasts, inputs, activities, and weather alerts. CropIn currently works with over 50 crop types across 14 states in India with various agro-companies and seed producers as customers. The goal is to digitize agriculture and enable data sharing and collaboration across the supply chain.
This document provides an overview of Smart Agriculture Analytics (SAA), a startup company aiming to build a data and analytics platform connecting agritech suppliers with clients in emerging markets. SAA plans to launch news and data products starting in late 2014 to establish itself as a trusted source of information on China's agritech sector. Long term, SAA aims to grow its platform to enable direct online trades between agritech suppliers and clients.
Technology has made life very simple! And this has extended even to agriculture. Know how cell-phones are acting as Indian farmers best friend these days. Explore this deck to know more.
This document discusses how management information systems (MIS) can help farmers in agriculture. It begins by providing background on strengths, weaknesses, opportunities and threats to agriculture. It then discusses how MIS could provide farmers with weather forecasts, market prices, guidance on fertilizer usage, and access to government resources via kiosks. The rest of the document covers assumptions about farmers, stakeholders, predictive analytics for weather forecasting, a content management system to connect farmers to resources, decision support systems, use of cloud computing and big data, supply chain management, and how MIS could integrate with banking, education and other industry systems to help farmers.
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
The global Vertical Farming Market is expected to reach USD 9.9 billion by 2025 owing to rise in use of IoT (Internet of Things) for agriculture and crop production.
Reshaping the Future of Agriculture through ICT: Agriculture 4.0Rizwan MFM
M.F.M. Rizwan | Assistant Director of Agriculture (Development)
National Agriculture Information & Communication Centre (NAICC) | Department of Agriculture
[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.
The document describes an e-farming website that aims to help farmers sell their products online. The website will provide market and commodity reports, information on government schemes, and guidance on current market rates. It will allow farmers to directly sell their products without an agent. The website will also provide education on new farming techniques and information on seeds, crops, fertilizers, equipment and other agricultural items. It is meant to offer farmers an online alternative to selling at local markets and increase awareness of government programs and modern farming practices.
The global smart agriculture market is projected to grow from $13.7 billion in 2020 to $22 billion in 2025 at a CAGR of 9.8%. Hardware offerings are expected to hold the largest market share during the forecast period. The Americas are expected to account for the largest market share from 2020 to 2025. Key applications driving growth include precision farming, livestock monitoring, and aquaculture.
The 10 most innovative ag tech companies of 2021(5) compressedMerry D'souza
As an agtech entrepreneur, you have an opportunity and a responsibility to shape how your company practices social as well as environmental sustainability. Addressing these areas is also important if you want to achieve lasting success
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.
This market research report includes a detailed segmentation of the global AgriTech market by type (bio tech and chemicals, analytics, sensors, mobility, and others), application (irrigation, production and maintenance, marketplace, supply chain, and others), and region (North America, Europe, APAC, Middle East Africa, and Latin America). The market research report identifies Impossible Foods, Mei Cai, Indigo, ProducePay, PivotBio, and Plenty as the market leaders operating in the global AgriTech market.
'Converge' Cultivating SEA for the future of foodShu Jun Lim
This document provides an overview of startups in Southeast Asia that are addressing challenges in the agriculture industry and food sector. It discusses how some startups are helping smallholder farmers gain access to capital, knowledge, and markets through platforms like crowdfunding, mobile apps, and online marketplaces. It also explores how technologies like IoT, blockchain, and data collection can help improve supply chain traceability, transparency, and efficiency. The document examines a variety of Southeast Asian startups working in areas like digital farming, funding access, marketplace development, and data/information platforms.
#AgriTechIndia - Current Scenario of Agri & Food StartupsDeepak Pareek
A presentation delivered on Enabling Next Generation Revolution Through Emerging New Technology Wave by Deepak Pareek at All India AgriStartup Convention and Awards 2018 in session on "Current Scenario of Agri & Food Startups".
Mobile technology can enhance small farmer incomes by $140 billion by 2020 by improving connectivity, increasing information flow, and enabling traceability. Big data from thousands of farms can be collected, aggregated and analyzed to optimize planting strategies, identify disease outbreaks, and create better seeds. Social networks connect farmers to gather data, collectively develop solutions, and facilitate learning. Geospatial applications combined with statistical data map topography to help farmers make better land management decisions around usage, resources, and supplies. Financial benefits include real-time pricing to help farmers determine when to buy or hold crops and reduce waste.
This document is a manual for a Digital Satellite Meter from Total Project Solutions in India. The meter detects satellite signal strength through a microprocessor and displays it graphically and numerically on an LCD screen. It can also provide an audible signal strength through a buzzer. The meter has a backlit LCD display and switches for the backlight and buzzer. It can be attenuated to properly display strong signal strengths.
The document discusses an innovation called Nano Ganesh, a mobile-based remote control system for operating water pumps in agricultural areas. It allows farmers to control water pumps from any distance via a mobile or landline phone. Key characteristics include checking power supply and pump status via audio tones, automatic and remote modes of operation, and storing on/off commands. The system addresses issues like power fluctuations, difficult pump access, and safety hazards faced by farmers in operating pumps. It has the potential to scale up given its ease of use, low cost, and ability to suit different terrains and regions across India.
#Organic Companies like #Sresta & #Timbaktu-Collective are always working to ensure only the very best reaches their customers. They have adopted Cropin #smartfarm and are always connected with their farms 24X7 from anywhere!
They have gained customers' trust by empowering them with #traceability: "Customer can take a walk through your farms by a simple scan of a QR/Bar code".
Read for more: http://eepurl.com/btxZZz
Try it at: smartfarm.cropin.in
CropIn is a farm management and data analytics platform that helps farmers improve efficiency, profitability, and crop yields. It provides personalized packages of practices, advisory services, and weather alerts to farmers. CropIn also helps agro-businesses and their field staff digitally manage farms in real-time through mobile apps. This allows for predictive risk management, geo-tagged information, and detailed reports on harvest forecasts, inputs, activities, and weather alerts. CropIn currently works with over 50 crop types across 14 states in India with various agro-companies and seed producers as customers. The goal is to digitize agriculture and enable data sharing and collaboration across the supply chain.
This document provides an overview of Smart Agriculture Analytics (SAA), a startup company aiming to build a data and analytics platform connecting agritech suppliers with clients in emerging markets. SAA plans to launch news and data products starting in late 2014 to establish itself as a trusted source of information on China's agritech sector. Long term, SAA aims to grow its platform to enable direct online trades between agritech suppliers and clients.
Technology has made life very simple! And this has extended even to agriculture. Know how cell-phones are acting as Indian farmers best friend these days. Explore this deck to know more.
This document discusses how management information systems (MIS) can help farmers in agriculture. It begins by providing background on strengths, weaknesses, opportunities and threats to agriculture. It then discusses how MIS could provide farmers with weather forecasts, market prices, guidance on fertilizer usage, and access to government resources via kiosks. The rest of the document covers assumptions about farmers, stakeholders, predictive analytics for weather forecasting, a content management system to connect farmers to resources, decision support systems, use of cloud computing and big data, supply chain management, and how MIS could integrate with banking, education and other industry systems to help farmers.
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
The global Vertical Farming Market is expected to reach USD 9.9 billion by 2025 owing to rise in use of IoT (Internet of Things) for agriculture and crop production.
Reshaping the Future of Agriculture through ICT: Agriculture 4.0Rizwan MFM
M.F.M. Rizwan | Assistant Director of Agriculture (Development)
National Agriculture Information & Communication Centre (NAICC) | Department of Agriculture
[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.
The document describes an e-farming website that aims to help farmers sell their products online. The website will provide market and commodity reports, information on government schemes, and guidance on current market rates. It will allow farmers to directly sell their products without an agent. The website will also provide education on new farming techniques and information on seeds, crops, fertilizers, equipment and other agricultural items. It is meant to offer farmers an online alternative to selling at local markets and increase awareness of government programs and modern farming practices.
The global smart agriculture market is projected to grow from $13.7 billion in 2020 to $22 billion in 2025 at a CAGR of 9.8%. Hardware offerings are expected to hold the largest market share during the forecast period. The Americas are expected to account for the largest market share from 2020 to 2025. Key applications driving growth include precision farming, livestock monitoring, and aquaculture.
The 10 most innovative ag tech companies of 2021(5) compressedMerry D'souza
As an agtech entrepreneur, you have an opportunity and a responsibility to shape how your company practices social as well as environmental sustainability. Addressing these areas is also important if you want to achieve lasting success
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.
This market research report includes a detailed segmentation of the global AgriTech market by type (bio tech and chemicals, analytics, sensors, mobility, and others), application (irrigation, production and maintenance, marketplace, supply chain, and others), and region (North America, Europe, APAC, Middle East Africa, and Latin America). The market research report identifies Impossible Foods, Mei Cai, Indigo, ProducePay, PivotBio, and Plenty as the market leaders operating in the global AgriTech market.
'Converge' Cultivating SEA for the future of foodShu Jun Lim
This document provides an overview of startups in Southeast Asia that are addressing challenges in the agriculture industry and food sector. It discusses how some startups are helping smallholder farmers gain access to capital, knowledge, and markets through platforms like crowdfunding, mobile apps, and online marketplaces. It also explores how technologies like IoT, blockchain, and data collection can help improve supply chain traceability, transparency, and efficiency. The document examines a variety of Southeast Asian startups working in areas like digital farming, funding access, marketplace development, and data/information platforms.
#AgriTechIndia - Current Scenario of Agri & Food StartupsDeepak Pareek
A presentation delivered on Enabling Next Generation Revolution Through Emerging New Technology Wave by Deepak Pareek at All India AgriStartup Convention and Awards 2018 in session on "Current Scenario of Agri & Food Startups".
Mobile technology can enhance small farmer incomes by $140 billion by 2020 by improving connectivity, increasing information flow, and enabling traceability. Big data from thousands of farms can be collected, aggregated and analyzed to optimize planting strategies, identify disease outbreaks, and create better seeds. Social networks connect farmers to gather data, collectively develop solutions, and facilitate learning. Geospatial applications combined with statistical data map topography to help farmers make better land management decisions around usage, resources, and supplies. Financial benefits include real-time pricing to help farmers determine when to buy or hold crops and reduce waste.
This document is a manual for a Digital Satellite Meter from Total Project Solutions in India. The meter detects satellite signal strength through a microprocessor and displays it graphically and numerically on an LCD screen. It can also provide an audible signal strength through a buzzer. The meter has a backlit LCD display and switches for the backlight and buzzer. It can be attenuated to properly display strong signal strengths.
The document discusses an innovation called Nano Ganesh, a mobile-based remote control system for operating water pumps in agricultural areas. It allows farmers to control water pumps from any distance via a mobile or landline phone. Key characteristics include checking power supply and pump status via audio tones, automatic and remote modes of operation, and storing on/off commands. The system addresses issues like power fluctuations, difficult pump access, and safety hazards faced by farmers in operating pumps. It has the potential to scale up given its ease of use, low cost, and ability to suit different terrains and regions across India.
Largest : annual production over 132 Million Tonnes.
Co-ops. : 17 state federations, 180 district milk unions, 13.41 million dairy farmers.
Now : Producers Companies & Private dairies are growing …. creating parallel dairy infrastructure.
NDP : To double the growth rate to become milk sufficient country by the year 2022 with target over 200 million tonnes milk production.…. and the technology partner from 33 years
Smart system monitoring on soil using internet of things (IOT)IRJET Journal
This document describes a smart system for monitoring soil conditions using sensors and the Internet of Things (IoT). Sensors placed in agricultural land would measure the soil's pH rate, temperature, and moisture levels. This data would be sent to the cloud and then relayed to registered farmers via their mobile devices. The system aims to reduce farmers' workload by automatically monitoring soil and alerting them to abnormalities. It could also recommend pesticides to improve cultivation based on pH readings. The system is designed to help farmers better manage their land even from a distance through IoT-connected soil monitoring and analytics.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for Intellibot’s robot for cleaning floors. These robots replace the existing machines and labor that are currently used by most businesses. The value proposition includes lower labor and chemical costs for customers and a lower need for foreign labor for the government. The customers include malls, factories, and other building owners. The method of value capture is both sale of equipment and a cleaning service, since many malls, factories and large buildings outsource their cleaning to third parties. Patents for navigation, perception, and planning provide the method of strategic control.
This document discusses the implementation of IoT in agriculture in China. It notes that currently, greenhouse planting relies on farmers' experience rather than data. IoT is seen as a promising technology to reduce costs and improve efficiency in agriculture. The document outlines China's progression from manual to smart agriculture enabled by IoT. It describes the structure of an IoT agriculture system including sensor, transmission, processing and application layers. Benefits of IoT include water and resource savings, improved yields and productivity, and remote monitoring and control. The key advantages are seen as real-time data access, surveillance, analysis and intelligent decision making for farmers, consultants, finance and government.
IRJET- Garbage Monitoring System using Internet of Things (IoT) and GSMIRJET Journal
This document describes a smart garbage monitoring system using Internet of Things (IoT) and GSM technology. The system uses ultrasonic sensors to monitor garbage levels in dustbins and sends alerts via GSM to concerned authorities when bins are full. It aims to efficiently manage waste collection and ensure clean surroundings. The system detects garbage levels every 15 seconds and displays it on an LCD. When bins are full, an IR sensor detects nearby persons and a DC motor opens the lid. GSM messages are sent to assigned truck collectors with details of full bins. Sensor data is uploaded to the cloud using IoT. The system aims to prevent waste overflow and support cleanliness initiatives like Swachh Bharat Abhiyan. It could help
IoT Based Agriculture Monitoring and Smart Irrigation System using Raspberry PiIRJET Journal
This document describes an IoT-based smart irrigation system that monitors soil moisture, temperature, and humidity using sensors connected to a Raspberry Pi. The system aims to automate irrigation only when needed to reduce water waste and increase crop yields. Sensors collect environmental data and send it via WiFi to the Raspberry Pi, which then posts it to a cloud server. If sensor values like soil moisture fall below a threshold, a relay is activated to turn on a water pump until conditions improve. The system was tested successfully and could help farmers better manage water resources and irrigation. Future work may involve monitoring additional soil properties and estimating water usage.
This document discusses how IoT can help transform agriculture through smart farming applications. It begins by discussing how IoT has four main components: digital sensors, connectivity, middleware, and applications/analytics. It then discusses how IoT is becoming more viable through cheaper hardware, better software development, and improved connectivity. The document outlines several smart agriculture applications of IoT including increased business efficiency through automation, enhanced product quality and volumes, ability to detect anomalies, and data collection. It concludes by discussing IoT maturity phases and the benefits of using technologies like drones for tasks like irrigation, fertilizing, crop monitoring and analysis.
IRJET- Software For Intelligent Automatic Washing MachineIRJET Journal
This document describes a software that can be embedded in washing machines to make them intelligent and automatic. The software uses machine learning and data from sensors to analyze user patterns and replicate wash cycles without manual input. It stores data from RFID cards and sensors in a database to recognize users and determine the needed cycle. This reduces human effort. The system supports both manual and semi-automatic operation. It works by learning from previous wash data to deduce the required cycle when a user next uses the machine.
IRJET- Evolution from Traditional Farming to Digital FarmingIRJET Journal
This document describes the development of a digital farming application for Android devices. It aims to help farmers make informed decisions by providing customized information on crops, fertilizers, pesticides and market prices. The application allows farmers to keep records of farm assets, activities and finances. It includes databases on agriculture products and tools. Farmers can use the app to plan, monitor and analyze all farming operations. The app is designed to professionally manage farms and promote sustainable development for farmers. It provides an alternative to existing agricultural apps that are costly, not user friendly and difficult to maintain.
This document provides an overview of ITC e-Choupal, an e-commerce initiative launched by ITC in 2000 that benefits 4 million farmers in India. The key points are:
1) ITC e-Choupal addresses inefficiencies in the traditional mandi system by connecting farmers directly to buyers via internet kiosks (e-choupals) located within villages. This provides transparency of pricing and immediate cash payments.
2) The system relies on local sanchalaks (coordinators) who are trained to operate computers and internet kiosks. It minimizes middlemen and reduces costs for farmers and buyers.
3) ITC e-Choupal has expanded to
Farmbook - an innovative ICT tool for farm management, training, and M&EMEAS
CRS developed, in part with support from the USAID funded MEAS project, a tool for farm management, training of extension agents, and monitoring and evaluation. This presentation gives an overview of the tool and its functionality
Role of Connectivity - IoT - Cloud in Industry 4.0Gautam Ahuja
The role of Connectivity, IoT & Cloud in Industry 4.0.
This was presented to professionals from the Manufacturing & Process industries at the CII meet on 10th October 2018@ Lonavala.
Contains information about use of different ICT tools in Indian agriculture. Also contains information about challenges in application of ICT in Agriculture sector and way forward to resolve the issues
IRJET- IoT based Cultivation using AurdinoIRJET Journal
This document describes an IoT-based smart farming system using Arduino that monitors soil conditions. The system uses sensors to measure temperature, humidity, pH levels, and detects movement. If sensor readings are abnormal, a GSM module sends alerts to the farmer's phone. This automation helps farmers more efficiently monitor crops and respond to issues in real-time, improving yields and reducing costs compared to traditional farming. The system is a cost-effective solution that saves farmers money in the long run through increased profits.
IoT (Internet of Things) in agriculture refers to the use of connected devices and sensors to gather data and automate farming processes. This technology is transforming farming by enabling farmers to monitor soil moisture, crop growth, and livestock health in real-time, optimizing irrigation and fertilizer use, and reducing waste. IoT also allows farmers to make informed decisions based on data-driven insights, leading to increased efficiency, productivity, and profitability. IoT in agriculture has the potentialto revolutionize the way we produce food, making farming more sustainable and resilientin the face of climate change and other challenges.
https://www.mobiloitte.com/internet-of-things/
This document provides an executive summary of DeHaat, an online farmers' marketplace that connects farmers in India to agricultural inputs, advisory services, and markets using a mobile-based technology platform. It outlines DeHaat's solution to improve access to quality agricultural services for 70 million small farmers in India. Key points include:
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Tipping Point in Digital Extension Advisory Systems: Empirical Evidences from Indian Digital Pilots
1. Tipping Point in Digital Extension
Advisory Systems:
Empirical Evidences from Indian
Digital Pilots
SHAIK N MEERA*, S. Arun Kumar, R. Praveen, Ch. Gayathri & SR Voleti
* PRINCIPAL SCIENTIST
ICAR Indian Institute of Rice Research
Hyderabad, India
16 October
2. Tipping Point Pilots
• Experiment 1: Randomised Control trials – Digital Extension &
Productivity, Profitability
• Experiment 2: Farmers’ Perception about Data Driven Services
through Mobiles n=160
• Experiment 3: Industry perception about the use of disruptive
technologies n=80
• Experiment 4: Direct Market Interventions – Impacts on
Profitability
• Experiment 5: Smart Phone Applications in irrigation– Pump
Starters
• Experiment 6: Desk Study – Digital Start Ups in India
3. Can Digital Extension lead to
Farm productivity and Profitability?
• Experiment 1: Randomised Control trials – Digital Extension & Productivity,
Profitability
Rice Farmers
Small and Marginal
160
T1
n=40
T3
n=40
Randomize
T2
n=40
C
n=40
4. Can Digital Extension lead to
Farm productivity and Profitability?
• Experiment 1: Randomised Control trials – Digital Extension & Productivity,
Profitability Multiple Comparisons
Dependent Variable: data LSD
(I)
treatment
(J)
treatment
Mean
Difference
(I-J)
Std.
Error
Sig. 95% Confidence
Interval
Lower
Bound
Upper
Bound
T1
T2 .782* .314 .014 .16 1.40
T3 1.122* .314 .000 .50 1.74
C 1.696* .314 .000 1.08 2.32
T2
T1 -.782* .314 .014 -1.40 -.16
T3 .340 .314 .281 -.28 .96
C .914* .314 .004 .29 1.53
T3
T1 -1.122* .314 .000 -1.74 -.50
T2 -.340 .314 .281 -.96 .28
C .574 .314 .069 -.05 1.19
C
T1 -1.696* .314 .000 -2.32 -1.08
T2 -.914* .314 .004 -1.53 -.29
T3 -.574 .314 .069 -1.19 .05
*. The mean difference is significant at the 0.05 level.
Descriptive
data
N Mean Std.
Deviation
Std.
Error
95% Confidence
Interval for Mean
Minimu
m
Maximu
m
Lower
Bound
Upper
Bound
1 40 6.00 1.671 .264 5.47 6.54 3 9
2 40 5.22 1.406 .222 4.77 5.67 2 8
3 40 4.88 1.347 .213 4.45 5.31 2 9
4 40 4.31 1.145 .181 3.94 4.68 2 8
Total 160 5.11 1.521 .120 4.87 5.34 2 9
T1=
Critical Inputs + Services (Demonstrations) + Video
/ Whatsapp
T2=
Critical Inputs + Services (Demonstrations) - Video
/ Whatsapp
T3=
Farmers Practice + Undirected Video, Whatsapp
Control= 2016-17 Benchmark Yield
40 farmers each
One way ANOVA
5. Can Digital Extension lead to
Farm productivity and Profitability?
• Experiment 1: Randomised Control trials
** Significant at 0.01 level
*Significant at 0.05 level
Correlation with Profitability
Correlation coefficients (‘r‘ value)
TS NLG TS MBNR TN Total
farmers
(n = 40) (n = 40) (n = 40) (n = 120)
Access and Use of Digital advisories0.685** 0.610** -0.18 0.500**
Financial Inclusion includes mkt 0.588** 0.521** 0.132 0.375**
Gender 0.277 0.163 0.414 0.121
Access to Time critical services 0.734** 0.325** 0.712** 0.579**
Socio-economic factors 0.508** 0.373** 0.703** 0.448**
6. What data driven services matter?
Experiment 2: Farmers’ Perception about Data Driven Services
through Mobiles n=160
Data Driven Services
through Mobiles
(n=160)
% Perceived
Utility
%Realized
Utility
Diagnostics- Advices 95 78.12
Weather forecast -
Advices
76.25 35
Management advisory 93.75 71.87
Harvest Management 78.75 53.12
Market prices access 96.87 28.12
Access to customers 87.5 16.25
Certification 37.5 7.5
Demand for seed, rice 81.25 40.62
Miller perception Info 78.12 53.75
Access to payment
gateways
54.37 6.25
Access to Credit 57.5 7.5
Access to insurance 70 15.62
Micro finance,
Cooperative
56.25 6.25
Government policies 41.87 35
7. Whether rice industry is ready?
• Experiment 3: Industry perception about the use of disruptive
technologies n=80
8. Whether rice industry is ready?
• Experiment 3: Industry perception about the use of disruptive
technologies n=80
9. Whether rice industry is ready?
• Experiment 3: Industry perception about the use of disruptive
technologies n=80
10. How digital help realizing better markets?
• Experiment 4: Direct Market Interventions – Impacts on
Profitability
Market prices Kharif
Rs/Q
MTU 1010 IR 64
DRR Dhan 44 MTU 1001, JGL BPT, HMT, JS RNR
Grade 1 Govt 1590
Grade 1 Millers 1550 1850 1800
Grade 2 Govt 1540
Grade 2 Millers 1540
Market prices Rabi
Rs/Q
MTU 1010 IR 64
DRR Dhan 44 MTU 1001, JGL BPT RNR
Grade 1 Govt 1590
Grade 1 Millers 1550 1450 1500
Grade 2 Govt
Grade 2 Millers
Hyderabad Direct Mkt
Rs/Q Buying Selling
Jai Sriram 5500 5800
HMT 4500 4800
BPT 3500 3800
RNR 3400 3600
Seed Direct Marketing
Rs /Kg
25 20 30 28-30
11. Smart phones..beyond advisory Apps?
• Experiment 5: Smart Phone Applications in irrigation– Pump
Starters n=111
Yes No Can’t say
Direct benefits P F P F P F
Easy to operate / irrigate compared to earlier 100 111
Time saving 100 111
Safety (Personal safety, Pump set safety) 100 111
Flexibility of irrigating 100 111
Remote Accessibility of pump sets (vehicle can’t
get there!)
74.7 83 26 23.4 2 1.8
Can be operated by any family member (unlike
only family head has to go)
73.8 82 29 26.1
Gender / Literacy no barrier 93.6 104 7 6.3
Updates about status of irrigation 96.3 107 3 2.7 1 0.9
Ease in planning irrigation cycles 94.5 105 5 4.5 1 0.9
Bypass (Manual mode) option (in case auto starter
doesn’t work)
100 111 0.0
Update about the status of water in a tank/ well 92.7 103 7 6.3 1 0.9
After sales service support 79.2 88 23 20.7 0
12. Smart phones..beyond advisory Apps?
• Experiment 5: Smart Phone Applications in irrigation– Pump
Starters n=111 – “Retail like Extension”
0 10 20 30 40 50 60 70 80 90 100
Indirect benefits
Reduced water wastage
Reduced electricity wastage
Reduced labour wastage
Reduced fuel wastage (POL)
Cost effectiveness
Adding to awareness about resource conservation
Local capacity – business opportunities
Daily / weekly reports – decision making
Increased crop productivity
100
100
100
100
97.3
84.6
98.2
88.2
78.3
60.3
14. Digital Start ups – Integrating with Extension
Advisory Systems
• Experiment 6: Desk Study – Digital Start Ups in India
*DEAS Data driven extension advisories – data types (N.Meera Shaik 2018 and Maru Ajit 2018)
(LD: Localized, ID: Imported, ED: Exported and AD: Ancillary data)
Agriculture
related
information,
access to agri
inputs
Buying &
selling of
agri
outputs
Predictiv
e
analytics
Big data
Process
automation
LBM
IOT
Mobile /
cloud
Social media
/
networking
Ai others
Agrowbook Yes Yes No No No Yes No
Scope for DEAS LD, ID ID, ED LD, ID,
ED, AD
LD,ED ED, AD ID, ED AD
Agmart No Yes Yes No No Yes No
Scope for DEAS ED ED AD ID, ED,
AD
ED, AD ED, AD ID, ED AD
Bharatrohan No No Yes No Yes Yes No
Scope for DEAS LD ED - LD, ID,
ED, AD
LD ID ED LD, ID, ED,
AD
LD, ID, ED LD, ID, ED,
AD
StampIT No No No Yes Yes Yes No
Scope for DEAS LD, ID, ED, LD, ED, AD LD, ID,
ED, AD
LD, ID, ED LD, ID, ED,
AD
LD, ED ID, AD
15. Tipping Points to Digital Disruption
• Experiment 1: Randomised Control trials – Digital Extension &
Productivity, Profitability
• Experiment 2: Farmers’ Perception about Data Driven Services
through Mobiles n=160
• Experiment 3: Industry perception about the use of disruptive
technologies n=80
• Experiment 4: Direct Market Interventions – Impacts on
Profitability
• Experiment 5: Smart Phone Applications in irrigation– Pump
Starters
• Experiment 6: Desk Study – Digital Start Ups in India
16. Tipping Points to Digital Disruption - Why
0
10
20
30
40
Sub-
Saharan
Africa
North Afria
South- West
Central Asia
Latin
America
Japan,
Korea,
China
Europe
incl.Russia
North
America,
Oceania
13%
32%
2%
3%
4%
11% 11%
3%
4%
2%
11%
31%
10%
33%
4%
3%
7%
9%
13%
8%
5%
4%
4%
34%
3%
28%
5%
3%
10%
9%
11%
8%
6%
6%
6%
36%
5%
36%
5%
13%
13%
1%
ø22%
ø33%
South and
East Asia
Consumption-levellosses
Distributionlosses
Processingand packaging losses
Post-harvest losses
Harvestlosses
Up to 22%yield
losses could be
savedwith more
efficientsupply
chains
In order to compensate
33%of valuechain losses,
an unfeasible50%1
yield
increase would be
necessary,
while increasingsupply
chain efficiency byonly5%
points hasthesame
effectasa10%yield
improvement.
1
The production increase needed to compensate 33%losses is 50%,since
losses need to be deducted from any potential yield by dividing it by the
effectiveyield.
Source: United Nations, FAO, IWMI 2007,Monitor DeloitteResearch
17. Tipping Points to Digital Disruption - How
1. Give Farmers what they want
2. Start up Digital disruption - where do we stand?
2.1. Current avenues for digital disruption
2.2. Start-up based digital disruptions models
2.3. Strategies to redesign practices in delivery
3. Winning the game of disruption – digital way
4. Navigating through Digital Disruption
Please download: N.Meera, Shaik (2018).
http://www.aesanetwork.org/a-treatise-on-navigating-
extension-and-advisory-services-through-digital-disruption/
18. Tipping Points to Digital Disruption - How
Please download: N.Meera, Shaik (2018).
http://www.aesanetwork.org/a-treatise-on-navigating-
extension-and-advisory-services-through-digital-disruption/
eNAM = Amazon – (LBM+ Retailers + Aggregation + Delivery +Payment gateway)
Knowledge Portals = Google - (SEO + Crowd Content + Scale + Personalization)
eParwana / AeFDS = Uberization – (Fertimeter + Diagnostics+ Crop Profiling + Workflows)
Soil Health Cards = SMART farming – (Internet of Things + LBM + GPS + Google Maps)
Input supply app / Market App = UberApp – (aggregated demand+ LBM+3D Printing + Block
chain)
19. Take home Points..
• Can Digital Extension lead to Farm productivity and Profitability?
• What data driven services matter?
• How digital help realizing better markets?
• Smart phones..beyond advisory Apps?
• Digital Start ups – Integrating with Extension Advisory Systems
• Digital Start ups – Integrating with Extension Advisory Systems
• Digital Disruption & Social Inclusion
• Tipping Points to Digital Disruption
• Tipping Points to Digital Disruption – Why
• Tipping Points to Digital Disruption - How