Telhan Sathi
A Smart India Hackathon project developed to promote oilseed farming by helping farmers make informed crop decisions. Telhan Sathi combines crop economics analysis, market intelligence, and real-time farm insights to reduce crop shift risk and support India’s edible oil self-sufficiency goals.
Problem
Farmers are increasingly shifting away from oilseed crops toward alternatives like sugarcane, paddy, and maize due to assured procurement, price stability, and lower perceived risk. Oilseeds are often cultivated in marginal and rainfed regions with limited access to reliable crop economics, procurement visibility, and government support, leading to low confidence and higher dependence on edible oil imports.
Solution
Telhan Sathi addresses this challenge through a data-driven decision support platform built on a Django backend. The system provides comparative crop economics, profitability projections, and advisory insights, while securely storing farmer and crop data in a structured SQL database. Integrated IoT-based farm monitoring enhances accuracy by supplying real-time field conditions, enabling more confident and informed oilseed cultivation decisions.
Features
- •Comparative crop economics dashboard for oilseeds versus alternative crops
- •Profitability simulations based on input cost, yield estimates, and market prices
- •Centralized data storage using a relational SQL database for reliability
- •Django-powered backend for secure data handling and analytics
- •IoT sensor kit for live monitoring of soil moisture and farm conditions
- •Weather-based advisories to support timely agricultural decisions
- •Information and guidance on government schemes such as NMEO-OS
- •Risk-awareness insights addressing procurement and price uncertainty
- •Farmer-friendly interface designed for clarity and ease of use
- •Scalable system architecture suitable for future FPO and agency integration
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