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Data Analytics for
Agriculture
Santanu Chaudhury
IIT Delhi
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)
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
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
Example Scenarios
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
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
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
IASP – Proposed Structure
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

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Data analytics for agriculture

  • 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
  • 9. IASP – Proposed Structure
  • 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