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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52282
Volume:
9 |
8 |
Aug 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper introduces a voice-enabled AI assistant that supports farmers by providing agricultural information, crop disease detection, and vegetable recommendations based on regional market rates. The system integrates multiple Artificial Intelligence (AI) modules such as Natural Language Processing (NLP) for query understanding, Computer Vision (CV) with Convolutional Neural Networks (CNN) for disease detection, and a recommendation engine that analyses district-level price trends. Additionally, it includes a marketplace feature where farmers can sell their produce directly to buyers, reducing middlemen interference and ensuring fair pricing. The assistant is designed to be intuitive, supporting both text and voice queries in regional languages. Experimental results indicate high accuracy in disease detection and strong acceptance among farmers due to its simplicity and practical value.
KEYWORDS
Publication Date
8/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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