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@article{208380,
        author = {Devansh Adik Wable and Sahil Balshiram Pawar and Shravani Chetan Kalid and Sanjay Nathu Bombale and Mayuri Jayesh Patil},
        title = {AgroVaani: Vernacular Generative Intelligence for Zero-Barrier Precision Agriculture Advisory Using Multilingual RAG-LLMs},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {63-72},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=208380},
        abstract = {Farming today is becoming more challenging because of unpredictable weather, worsening soil health, more frequent pest and disease outbreaks, and limited access to expert advice when farmers need it most. While traditional agricultural advisory services have helped farmers for many years, they often fall short in giving advice that suits each farmer’s unique location and situation. This is due to not having enough experts, language differences, and varied farming practices across regions. To ad-dress these issues, this research introduces a Smart Farming Assistant Chatbot powered by advanced Al technologies like Generative Al, Large Language Models, Natural Language Processing, and Retrieval-Augmented Generation. This chatbot is designed to be multilingual and voice-enabled, so farmers can easily talk to it in their own language or dialect. It supports many regional languages including Marathi, Hindi, Kan-nada, Tamil, Telugu, Bengali, Gujarati, Punjabi, Malayalam, Odia, Assamese, and English. Unlike typical chatbots that use fixed answers, this assistant understands natural conversations, local farming terms, and even mixed language use like Marathi-English or Hindi-English, making communication smooth and natural. The system brings together a wide range of farming information-from details about crops, soil, and weather, to pest control, fertilizers, market trends, and government schemes. By combining the power of Al with trustworthy agricultural knowledge, the chatbot offers practical, ac-curate, and personalized advice while minimizing the chances of giving wrong information. What makes this system truly special is that it breaks down language barriers, allowing farmers to get expert-level help without needing technical skills or knowing a specific language. Farmers can interact with it through text or voice, getting support for everything from choosing crops and planning irrigation, to managing soil, preventing diseases, and making sustainable farming decisions. This approach aims to empower small and marginal farmers, reduce their reliance on traditional advisory ser-vices, help them use resources more efficiently, and promote smart, inclusive farming that benefits everyone. Ultimately, this system moves us closer to an Al-driven agricultural world where technology adapts to farmers’ needs, making farming easier and more productive for all.},
        keywords = {NA},
        month = {September},
        }