Back to Catalog
132 of 226
PS 26132SOFTWAREAgriculture, FoodTech & Rural DevelopmentModerate Scope

Strengthening market linkages and price discovery for farmers

Government Of MaharashtraMaharashtra State Innovation Society, Department of Skills, Employment, Entrepreneurship and Innovation
Google Search
30-Second Plain English Summary

Farmers in Maharashtra face price crashes for perishable commodities (onions, tomatoes, grapes, pomegranate) during peak harvest season due to cartelized mandi middlemen and zero real-time visibility into inter-district price differentials. Build an AI-driven Agricultural Market Linkage, Price Forecasting, and Direct Buyer Discovery Platform for the Maharashtra State Agricultural Marketing Board (MSAMB) that uses time-series AI to forecast 15-day commodity prices across 300+ APMC mandis and matches Farmer Producer Organizations (FPOs) directly with bulk food processors.

5-Dimension Strategic ScorecardOverall Score: 3.8 / 5.0
Innovation
3.9 / 5
36h Feasibility
4.3 / 5
Uniqueness
3.5 / 5
Jury Appeal
3.8 / 5
Tech Depth
3.6 / 5
Recommended System Architecture Pipeline
MSAMB Daily APMC Arrivals + Weather Feeds -> Temporal Fusion Transformer (TFT) Price Model -> Freight Arbitrage Engine -> FPO Buyer Bus -> Farmer Market PWA
Recommended Tech StackClick to search similar
Official Government Problem Description
• Problem Description Many farmers, especially smallholders and producer groups, have limited visibility of current and expected prices across nearby markets, processors,institutional buyers and digital trading channels. Information on quality specifications, demand, logistics,storage, payment reliability and buyer credentials may be fragmented. Farmers may sell immediately after harvest because of liquidity or storage constraints and may have weak bargaining power. Buyers, meanwhile,may struggle to aggregate consistent volumes and verify quality. The challenge is to improve transparent price discovery and create reliable, efficient linkages from farm gate to suitable buyers. • Expected Solution / Outcome A market-intelligence and transaction enablement solution that aggregates mandi prices, buyer demand, quality requirements, arrival volumes, transport and storage options; provides localised price trends and sale-window recommendations; matches farmers/FPOs with verified buyers; enables lot creation, quality grading,digital offers, logistics coordination and payment tracking; and supports dispute or grievance processes. Expected outcomes include improved farmer price realisation, reduced information asymmetry, lower transaction cost,stronger FPO aggregation, reduced post harvest loss, more reliable buyer sourcing and transparent transaction records.
AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26132: "Strengthening market linkages and price discovery for farmers", Ministry: Government Of Maharashtra. Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26132)

Related Problem Statements in Agriculture, FoodTech & Rural Development