A grounded AI advisor that won’t hallucinate
A retrieval-grounded agronomy advisor answers farmer questions with cited guidance, fusing live weather, satellite imagery, and plant-disease vision — and runs even offline.
Challenge
Generic chatbots gave confident but wrong agronomy advice, with no citations and no support for regional languages or low-connectivity field conditions.
Approach
A RAG pipeline (embeddings → vector store → re-ranking → grounded generation) answers only from a curated knowledge base with citations, fused with NASA satellite NDVI, live weather, and CNN plant-disease vision — multilingual and offline-first by default.
Results
- ≥95% context faithfulness, <5% hallucination
- ≤3s response latency (RAGAS-style eval)
- Plant-disease & pest vision (PlantVillage / IP102)
- Runs fully offline with no API keys
Free tools
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