AgroBuddy: Empowering Indian Farmers Through Precision Farming Chatbot
AgroBuddy: An AI-Driven Chatbot for Indian Farmers AgroBuddy is an AI powered chatbot developed to provide farmers with up-to-date and data-driven insights on their farming practices in India. AgroBuddy employs a fine-tuned LLaMA-3 70B model integrated with a retrieval-augmented generation (RAG) framework that allows for the generation of accurate and contextually relevant responses to user queries. Diverse data sources such as government reports, farmer advisory services, market trends, and weather forecasts are synced in the system, making suggestions practical and timely. It can respond to queries in multiple Indian languages, making it more accessible to farmers in different regions. The model can make use of a hybrid sentence embedding retrieval system stored in a Pinecone vector database for efficient, instant, and focused context retrieval. Using a dataset of 2,500 agricultural queries, AgroBuddy achieved 94.2% precision, 91.8% recall, and 93.0% F1-score for performance evaluation. The results showed it achieved a minimal response time of 1.8 seconds, while its accuracy and speed far outperformed traditional advisory systems]. Initial tests reveal reliability, but the focus will extend toward strengthening regional dialect support, retrieval capabilities and offline functionality. AgroBuddy could revolutionise Indian agriculture by providing farmers with expert advice in AI, integrated with local knowledge to make informed decisions.
Authors
- Rizwan Ibrahim Sheikh
- Anirban Jyoti Hati (ORCID: https://orcid.org/0000-0003-3006-9810)
- Jayaraj U Kidav (ORCID: https://orcid.org/0000-0001-7266-3813)
- Devesh Kumar
- Shashank Singh (ORCID: https://orcid.org/0000-0001-8532-7421)
Institutions
- Institute of Electronics (CN)
Publication Details
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1109/iccsai64074.2025.11064149
- Citations
- 1
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 2.28