This project leverages AI-powered techniques to transform modern farming through Precision Agriculture. By utilizing Retrieval-Augmented Generation (RAG) with OpenAI, LangChain, LangGraph, and a custom Azure AI Search knowledge base, the system provides farmers with real-time insights for optimized water management, pest control, and crop health. With inputs like location, soil pH, moisture levels, and crop/insect images, the platform delivers actionable guidance for improved productivity and sustainability. The solution is containerized with Docker and deployed on Microsoft Azure, ensuring scalability and accessibility for farmers worldwide.
Project Name
RAG Precision Farming
Description
This project leverages AI-powered techniques to transform modern farming through Precision Agriculture. By utilizing Retrieval-Augmented Generation (RAG) with OpenAI, LangChain, LangGraph, and a custom Azure AI Search knowledge base, the system provides farmers with real-time insights for optimized water management, pest control, and crop health. With inputs like location, soil pH, moisture levels, and crop/insect images, the platform delivers actionable guidance for improved productivity and sustainability. The solution is containerized with Docker and deployed on Microsoft Azure, ensuring scalability and accessibility for farmers worldwide.
Technology & Languages
Project Repository URL
https://github.com/dheerajrhegde/PrecisionFarming
Deployed Endpoint URL
No response
Project Video
https://www.youtube.com/watch?v=Qj4YuaFLPaY
Team Members
dheerajrhegde, ramkitcs