1) The document discusses using data analytics to improve agriculture through open data on climate, soil, crops, markets and more which faces challenges of converting data into actionable insights.
2) It proposes an Interactive Agricultural Service Platform (IASP) that provides personalized agro-advisories to farmers through push and pull services on web, mobile and IVRS in multiple languages.
3) The IASP would integrate data collection, analytics, knowledge services and delivery across platforms to help farmers with customized advice, access inputs and credit, and sell produce.
Today the use of data is having a very revolutionized effect with
cultivatable land in decline demand for food increasing from
developing countries farmers.
Farmers who use data are capable of turning ordinary harvests into
bumper crops and profits behind.This is the precision agriculture hub connecting the world’s biggest agricultural businesses farmers and suppliers using integrated software solutions.
GIS in agriculture helps farmers to achieve increased production and reduced costs by enabling better management of land resources. The risk of marginalization and vulnerability of small and marginal farmers, who constitute about 85% of farmers globally, also gets reduced.
Agricultural Geographic Information Systems using Geomatics Technology enable the farmers to map and project current and future fluctuations in precipitation, temperature, crop output etc.
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
India being agricultural driven country faces lot of challenges in agricultural sector because of several reasons. I have listed how GIS Technology can help in overcoming such issues
Today the use of data is having a very revolutionized effect with
cultivatable land in decline demand for food increasing from
developing countries farmers.
Farmers who use data are capable of turning ordinary harvests into
bumper crops and profits behind.This is the precision agriculture hub connecting the world’s biggest agricultural businesses farmers and suppliers using integrated software solutions.
GIS in agriculture helps farmers to achieve increased production and reduced costs by enabling better management of land resources. The risk of marginalization and vulnerability of small and marginal farmers, who constitute about 85% of farmers globally, also gets reduced.
Agricultural Geographic Information Systems using Geomatics Technology enable the farmers to map and project current and future fluctuations in precipitation, temperature, crop output etc.
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
India being agricultural driven country faces lot of challenges in agricultural sector because of several reasons. I have listed how GIS Technology can help in overcoming such issues
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Machine Learning in Agriculture Module 1Prasenjit Dey
Discuss the opportunities of incorporation of machine learning in agriculture. Briefly discuss different machine learning strategies. Briefly discuss the ways of machine learning can be used
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
The presentation is on Digital Agriculture and Its Application in Agriculture. The presentation went through problems of Agriculture, potential ways to cater those problems and how use of technology and their uses sustain the life of agriculture for our future generations with few case studies. I hope this is useful to student community. For PPT mail me at #pavankalyan6898@gmail.com , thank You
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
Agriculture 4.0- The future of farming technology Dishant James
The World Government Summit recently came out with an agenda to improve agricultural technologies by integrating farming with industry 4.0. The outcome would be a fourth agricultural revolution or Agriculture 4.0
APPLICATION OF INFORMATION AND COMMUNICATION TOOLS (ICTs) IN MODERN AGRICULTURESREENIVASAREDDY KADAPA
ICT can deliver fast, reliable, and accurate information in a user-friendly manner for practical utilization by the end-user. ICT includes any communication device or application encompassing radio, television, cellular phones, computer and network hardware and software, satellite systems, and as well as the various services and applications associated with them, such as videoconferencing and digital learning.
Food 4.0: Data Driven Agri-Food SystemsDeepak Pareek
Presentation delivered as Expert Speaker on "Food 4.0: Technology to make food and agriculture sector SAFE for Consumers EFFICIENT for Stake Holders and PROFITABLE for Growers" at CTO Forum focused on the "Impact of Artificial Intelligence" hosted by Tamil Nadu Technology Development & Promotion Centre at CII South Zone Headquarters on 16th November 2018.
Artificial Intelligence is an approach to make a computer, a robot, or a product to think about how smart humans think. AI is a study of how the human brain thinks, learns, decides and work when it tries to solve problems. And finally, this study outputs intelligent software systems. The aim of AI is to improve computer functions that are related to human knowledge, for example, reasoning, learning, and problem-solving.
Machine Learning in Agriculture Module 1Prasenjit Dey
Discuss the opportunities of incorporation of machine learning in agriculture. Briefly discuss different machine learning strategies. Briefly discuss the ways of machine learning can be used
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
The presentation is on Digital Agriculture and Its Application in Agriculture. The presentation went through problems of Agriculture, potential ways to cater those problems and how use of technology and their uses sustain the life of agriculture for our future generations with few case studies. I hope this is useful to student community. For PPT mail me at #pavankalyan6898@gmail.com , thank You
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
Agriculture 4.0- The future of farming technology Dishant James
The World Government Summit recently came out with an agenda to improve agricultural technologies by integrating farming with industry 4.0. The outcome would be a fourth agricultural revolution or Agriculture 4.0
APPLICATION OF INFORMATION AND COMMUNICATION TOOLS (ICTs) IN MODERN AGRICULTURESREENIVASAREDDY KADAPA
ICT can deliver fast, reliable, and accurate information in a user-friendly manner for practical utilization by the end-user. ICT includes any communication device or application encompassing radio, television, cellular phones, computer and network hardware and software, satellite systems, and as well as the various services and applications associated with them, such as videoconferencing and digital learning.
Food 4.0: Data Driven Agri-Food SystemsDeepak Pareek
Presentation delivered as Expert Speaker on "Food 4.0: Technology to make food and agriculture sector SAFE for Consumers EFFICIENT for Stake Holders and PROFITABLE for Growers" at CTO Forum focused on the "Impact of Artificial Intelligence" hosted by Tamil Nadu Technology Development & Promotion Centre at CII South Zone Headquarters on 16th November 2018.
[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.
Explains the role of information and knowledge in agricultural marketing, shares the initiatives by Government, private, NGOs and farmers organisations, indicates ICT advances which transform agricultural research-extension-marketing scenarios.
Africa RISING ESA Project: Monitoring and information managementafrica-rising
Presented by Festo Ngulu, IITA and Charles Ainsley, IFPRI at the Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013
GFAR / GODAN / CTA webinar #1 "Data-driven agriculture. An overview" - Dan Be...GCARD Conferences
[Webinar recording in last slide or at https://youtu.be/bsicKqHZIz4, 22/2/2018]
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 #1
Precision agriculture is a promising set of technologies that is data intensive, but which has limited adoption by small holder farms in Sub-Saharan Africa. Concurrently, current trends in sustainability, traceability, and compliance reporting demand that an ever-increasing amount of data be gathered as part of everyday operations in modern production agriculture.
The use of farm management information systems (FMIS) for decision support has shown great promise for improving farm yields and profitability. However, growers are often unsure of the value of the data that they are providing and/or receiving. How does this data help them make the right decisions to improve their yield and profitability? How do growers and service providers work together to simplify the design and use of farm data? How can smallholder farmers take advantage of data in a mutually valuable relationship with data providers?
Webinar Goals
Provide attendees a foundation for understanding the use of data for farming and across the agricultural value chain. Attendees should be able to apply the core concepts of using data for field operations, as well as how data is used across the value chain. Attendees will be introduced to the opportunities and challenges of using data, especially for smallholder farmers.
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.
A. Cameron - Sustainable market-driven early disease detection approachesEuFMD
Session VI
Effective early detection surveillance requires that every incursion of an exotic disease, or emergence of a novel disease is detected early enough to be affordably and rapidly controlled and eradicated. To achieve this, the entire animal population must be under constant surveillance, and significant or unusual disease events promptly and effectively investigated. Even in high-income, but especially in low- and middle-income countries, government animal health services alone are not able to meet these stringent demands. Private sector participation in disease surveillance is required, but currently levels of active participation and collaboration with government surveillance efforts vary greatly between production sectors.
This presentation is based on some of the work of the 5-year USAID-funded TRANSFORM project being undertaken in Vietnam and Indonesia, which aims to develop sustainable market-driven risk mitigation approaches for transboundary animal diseases, including through improved early detection capacity.
Presentation delivered by Deepak Pareek, CEO & Founder, MyCrop at BiharAgriTech Conference held on 16th December 2017 at Patna. The world is getting larger with the population growing by nearly 3 more people every second, which is 240,000 people a day. By 2025, the global population will reach 8 billion people and 9.6 billion by 2050. This means within one generation, there will be more people additionally on the planet than there were at the beginning of the
20th century. Feeding the growing world population poses an unprecedented challenge to human ingenuity. By 2050, food production must increase by 70% to keep pace.
Achieving the level of agricultural productivity necessary to meet the immensely risen world demand for food, fiber, and fuel by 2050 will be a challenge. Meeting this challenge is made even more daunting by a number of stringent constraints including environmental challenges and need to make benefits of development reach all. While Precision Agriculture has been in circulation for more than few decades but has been confined to the developed and the rich due to prohibitive cost and marginal value it brought to the table. Further complexity of the concept made it difficult or repulsive to smallholder farmers the core of agriculture ecosystem in developing the world.
Big Data technologies have suddenly changed this equation. The impact is so profound that Precision Agriculture which seemed to be the muse of the elite has suddenly become a rage for the underserved. This presentation takes you through a complete set of reasons and facts which are driving Big Data revolution in AgTech and the resulting adoption of Precision Agriculture by Smallholder farmers.
Precision Agriculture: Modern Agricultural Technologydrizlmari
Today world population is increased day by day gradually at same time the food production is being declined. So for modern techniques is required to feed the population
Opening Data, Information and Knowledge for Agriculture Development FRANK Water
Ajit Maru,Senior Knowledge Officer at Food and Agriculture Organization (FAO) of the UN, OiC, SRO at Global Forum on Agricultural Research presented where the international agricutural open access movement is heading towards.
This presentation details the upcoming OGD Hackathon event details like cities, institutes and online platform to participate in various info-graphics & app challenges.
Legal Information Management and Briefing System by Sh. Suresh Chandra, JS, D/o Legal Affairs at workshop on Data Driven Decision Making for Chief Data Officers.
Data Driven Decision Making in Ministry of Health and Family WelfareData Portal India
Data Driven Decision Making in Ministry of Health and Family Welfare presentation by Dr. Vishnu Kant Srivastava, Chief Director D/o Health & Family Welfare.
Use of Road Accidents Data by Government Stakeholders to reduce Road Accident...Data Portal India
Use of Road Accidents Data by Government Stakeholders to reduce Road Accidents and ensure Road Safety – A study on Black Spot Management. Presented by Sh. Ranjan Mukherjee, Director, M/o Road Transport & Highways at Workshop on Data Driven Decision Making for Chief Data Officers.
A Case Study on FCI Depot online System presentation made by Mr Abhishek Singh, Executive Director, Food Corporation of India at Workshop on Data Driven Decision Making
for Chief Data Officers.
Panel Discussion: Open Government Data: High Value DatasetsData Portal India
Panel Discussion: Open Government Data: High Value Datasets moderated by Ms Alka Mishra, Senior Technical Director, National Informatics Centre, Department of Electronics and Information Technology (DeitY), Government of India.
A Quick Tour of OGD Platform India by Shri Sunil Babbar, from the Open Government Platform, National Informatics Centre, Department of Electronics and Information Technology (DeitY), Government of India.
Open Government Data for Transparency & Innovation by Mrs Neeta Verma, Deputy Director General, National Informatics Centre, Department of Electronics and Information Technology (DeitY), Government of India.
Community Engagement with Open Government Data was presented by Shri D P Misra from the Open Government Platform, National Informatics Centre, Department of Electronics and Information Technology (DeitY), Government of India.
Revamping of MMPs/eGov Applications: A Digital India InitiativeData Portal India
Revamping of MMPs/eGov Applications: A Digital India Initiative by Renu Budhiraja, Sr. Director, e-Governance
Department of Electronics & Information Technology
Ministry of Communications & IT
Opportunities and challenges of foreign trade open data for economic developmentData Portal India
Opportunities and challenges of foreign trade open data for economic development by D.K. SINGH, ADDL. DIRECTOR GENERAL, Directorate General of Foreign Trade
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. Data: Open Data ++
• Agricultural Data
• Structure & Unstructured
• Public & Private
• Gross and Precision
• Numerical, Categorical, Textual, Spatial
• Images
• Variety and Velocity
• Climate/Weather, Soil
• Produce
• Crop, horticulture, livestock, fisheries
• Disease, Stress factors, fertiliser/chemical usage
• Mechanisation, Power, Irrigation
• Market Prices (available as open data)
3. Challenges
• Data to Actionable Outcome
• Actionable outcome:
• Bridge between Service Providers and Service Consumers
• Apps to provide link
• Big data analytics
• Algorithms as Service
• Structured between Cloud and End-user delivery platform like
mobile
• Service on demand
• Predictive Analytics
• Example -Market Intelligence
• Diagnostic Analytics
• Example- Process Intelligence
4. DeliveryModalities:AStudy
Gaps Identified Way Forward
Mobile Based Initiatives
Text SMS
Generic Information Delivered Requirement for farmer’s specific information
Language / Literacy Barrier Requirement for voice & Image based
information Exchange
Limited records of the farmers & their farming
details
Requirement for Updated info
No direct interaction with expert (for push
based services)
Requirement for Personalized Advisory
Voice Calls
Largely Push based services and information
delivery at undesired time
Requirement of right information at right time
as time desired by farmer
No direct interaction with the expert (for push
based services)
Requirement for Personalized Advisory
Call Centre / IVRS
Information provided (at both ends) on voice
alone is not always complete
Requirement for other modes of information
exchange for better understanding
Limited records / database of the farmers Requirement for complete & updated database
- Farm & Farmers
No / very limited follow up of services Requirement for Experts field visit and other
feedback mechanisms
6. Agri-business
• Collection of data on supply, demand and price trends of
selected agricultural products in green market, wholesale
markets, livestock markets, slaughterhouses and silos
• Analysis of the collected data and dissemination of market
information on selected agricultural products (fruits,
vegetables, livestock, cereals, feed and inputs)
• Enable farmers, creators of the agrarian policy, enterprises
and other participants in making sound business decisions
regarding production and marketing of agricultural
products
7. Agro-Advisory
• Information need for farmer
• Information requirement for input provider
• Forecast demand correctly, to forecast crop
yielding, to determine land area and usage
• Real time online input for problems and difficulty
• Sharing of mechanised appliances
• Farmers can plan, run and analyse their entire
farming operation through the entire farming
cycle as efficiently as possible
• Input providers can devise adaptive strategy for
profitability and marketing
• Responsible & Clean technology
8. Integrated Services
Customised agricultural
advice
access to credit and
insurance products
access agricultural inputs
and a channel for selling their
final produce –
all on an integrated
platform
8/11/2013
8
Requirement Driven Model
Data
Anaalytics
Service
Knowledge
Service
10. Interactive Information Dissemination System for farmers :
Pull and Push based system : Data can be transmitted through voice, text,
images and videos from both end (farmers to expert and back).
Multi-platform: Web, Mobile & IVRS
Multilingual Web Portal and IVRS : Currently available in Hindi, Telugu &
English
Personalized Agro Advisory Based on 'Farm & Farmer Profile’
Integrated Multi-platform
Data Analytics Delivery