SIH26132Software
Strengthening market linkages and price discovery for farmers
Government Of Maharashtra
Official 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.
Official Hackathon Facts
Theme / DomainAgriculture, FoodTech & Rural Development
Track TrackSoftware
Submission Deadline20 September 2026
Ideas Registered0/500
✨ SIH Fit Analysis
Estimated DifficultyBeginner
Social Impact Score (3/5)
N/A
Primary Tech AreaGIS / Remote Sensing
Technology Stack Tags
Recommendation SystemsGISDatabase SystemsWeb DevelopmentGIS / Remote Sensing
Suggested Skills
Recommendation / ranking methodsQGIS/ArcGISSQL / Database designReact / Node.js
✦ Why This Problem is Interesting
Combines GIS with the problem domain, creating a technically focused solution opportunity.
* Note: SIH Fit Analysis contains derived ratings and classification schemas generated to aid team selection; these are not official ratings from the Smart India Hackathon organizers.
