Pulse Brain · Growing Health Evidence Index
Peer-reviewed

FARM PREDICT 360: AN AI-POWERED WEB PLATFORM FOR AGRICULTURAL CROP ADVISORY, MARKET PRICE FORECASTING, AND CNN-BASED PLANT DISEASE DETECTION

B. Sagarika; B. S. Akhilesh; D.Pranav; K.Pranav; SaiSrevan

International Journal of Engineering Applied Sciences and Technology · 2026

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Summary

FarmPredict 360 is a full-stack agricultural intelligence web application developed on the MERN stack — MongoDB, Express.js, React.js, and Node.js — extended with a Python FastAPI microservice that integrates LangChain and the Groq large language model API. The platform delivers three core capabilities to farmers, traders, and agribusinesses across Telangana, India. The Crop Advisor module accepts soil nutrient parameters and GPS coordinates, retrieves live weather data from the OpenWeather API, and applies the Llama3-70b large language model to recommend the top three most suitable crops with agronomic justifications, yield estimates, and fertilizer guidance. The Price Forecasting module predicts tomorrow’s minimum and maximum market prices and generates a seven-day forward forecast for a

Subject
Measurement methods & nutrient profiling
Source type
Peer-reviewed study
System type
Arable cereals
DOI
10.33564/ijeast.2026.v11i01.002
Catalogue ID
NRmoxn36nv-000
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