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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42190
Volume:
9 |
3 |
Mar 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.
â This research introduces an AI-driven Plant Healthcare Bot designed to enhance precision agriculture. By leveraging advanced techniques in image recognition, sensor data analysis, and natural language processing (NLP), the bot provides early disease detection, accurate diagnosis, and optimized treatment recommendations for crops. The system integrates Convolutional Neural Networks (CNNs) for disease classification, real-time environmental monitoring using sensor data, and an interactive NLP interface for user engagement. The proposed system aims to empower farmers with data-driven insights, ultimately improving crop yields, reducing economic losses, and promoting sustainable farming practices.
KEYWORDS
Publication Date
3/11/2025
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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