agmarknet

Sell-or-Store is an AI-powered decision support system that helps farmers decide whether to sell their harvested crops immediately or store them for better returns. It uses machine learning, weather forecasts, mandi prices, and storage cost analysis to predict future prices and provide explainable, data-driven recommendations through an interactive

Evidence-led South India mandi intelligence with official AGMARKNET data, market comparison, short-range forecasts, uncertainty, and source-quality context.

"Smart Crop Prize Intelligence for Indian Farmers"

End-to-end machine learning pipeline that forecasts short-term onion prices for Maharashtra mandis using AGMARKNET-style government data. Includes data cleaning, feature engineering, RandomForest regression, multi-step forecasting, and a Streamlit dashboard.

Real-time mandi price tracking platform helping farmers compare crop prices, analyze trends, and make informed selling decisions.

KisanMind — One phone call, 4 satellites, 112 crop prices, 22 languages. AI agricultural intelligence fusing Sentinel-2, SAR, MODIS, NASA SMAP, AgMarkNet, and Gemini 3 Flash into voice advisory for 150M Indian farmers. ET AI Hackathon 2026.

Which mandi nets a farmer the most after transport, and is anyone paying MSP? Net-price arbitrage on Agmarknet data

Track South Indian mandi prices, analyze market trends, compare data, and view seven-day agricultural forecasts in one application.