Course Content
Entrepreneurial Development (Unit 8)
ASRB NET / SRF & Ph.D. Extension Education

Market Intelligence and Information Systems in Agriculture

  1. Market Information Systems (MIS)

Definition; A Market Information System (MIS) is a structured setup to collect, process, and disseminate data on agricultural prices, arrivals, demand, supply, and market conditions to farmers, traders, and policymakers.

It focuses mainly on data collection & sharing.

History & Facts

  • 1970s → FAO promoted MIS in developing countries for small farmers.
  • 2000AGMARKNET (Agricultural Marketing Information Network, India) was launched by the Ministry of Agriculture, Government of India.
  • MIS has shifted from radio/TV price announcements → SMS → mobile apps & web portals.

 

Applications in Agriculture Extension

  • Daily mandi prices (arrival & rates of commodities).
  • Linking farmers to nearest mandis & warehouses.
  • Providing information on inputs, weather, logistics, and government schemes.
  • Reduces exploitation by middlemen.
  • Examples in India:
    • AGMARKNET (2000) – mandi prices from 3300+ mandis.
    • e-NAM (2016) – online trading platform for transparent price discovery.
    • Kisan Suvidha App (2016) – weather, market prices, input advisories.

 

  1. Market Intelligence (MI)

Definition

  • Market Intelligence = The analysis and interpretation of market data to provide insights and forecasts about demand, supply, prices, consumer preferences, and export opportunities.
  • It goes beyond information → adds prediction, planning, and decision support.

Applications in Agriculture Extension

  • Price Forecasting → Advising farmers when and where to sell crops.
  • Demand Forecasting → Helping farmers choose crops based on consumer trends (e.g., organic produce, millets, export crops).
  • Policy Planning → Helps government design MSP, subsidies, and procurement policies.
  • Reducing Post-harvest Losses → By aligning production with demand.
  • Export Opportunities → Identifying global markets for spices, rice, fruits.

Examples in India

  • AGMARKNET + AI tools → Price forecasting models.
  • FASAL project (ISRO + MoA) → Forecasting crop production.
  • ICAR-NAARM Price Forecasting Cell – forecasts prices for crops like onion, tomato, cotton, etc.

 

Key Difference: MIS vs MI

Aspect

Market Information System (MIS)

Market Intelligence (MI)

Focus

Collection & dissemination of raw data

Analysis, interpretation, and prediction

Nature

Descriptive (what is happening)

Predictive (what will happen)

Output

Daily mandi prices, arrivals, inputs info

Price forecasts, demand trends, policy support

Example (India)

AGMARKNET, e-NAM

NAARM Price Forecasting Cell, FAO Market Intelligence

 

In short:

  • MIS = Data collection + Sharing (present information)
  • MI = Analysis + Prediction (future trends)

 

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