International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Smart Voice-Activated Farming Assistant using NLP |
|---|---|
| ABSTRACT | Agriculture remains a critical sector for economic stability, yet many farmers struggle to access real-time agricultural information, expert guidance, and weather-based decisions. Existing farming applications require digital literacy, which many rural farmers lack. This project proposes a Smart Voice-Activated Farming Assistant using Natural Language Processing (NLP) that enables farmers to obtain agricultural support through speech in local languages. The system integrates speech-to-text, NLP-based intent recognition, domain-specific agricultural knowledge, and text-to-speech generation. It provides personalized recommendations related to crop selection, soil suitability, fertilizer usage, pest control, and weather forecasting. By converting complex agricultural datasets into simple voice-based interaction, the assistant enhances accessibility, productivity, and decision-making for rural farmers. |
| AUTHOR | HARISH KUMAR H C, H K JEEVAN, NAGENDRA V, SIDDESHA K R, SUNIL D |
| VOLUME | 176 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1311108 |
| pdf/108_Smart Voice-Activated Farming Assistant using NLP.pdf | |
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