Data Analytics for Agriculture

Santanu ChaudhuryIIT 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

Delivery Modalities: A Study

Gaps Identified Way Forward

Mobile Based Initiatives

Text SMSGeneric 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 CallsLargely 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 / IVRSInformation 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

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Requirement Driven Model

Data Anaalytics

ServiceKnowledge

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