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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55131
Volume:
9 |
12 |
Dec 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.
The AI-Driven Agriculture Monitoring System is an intelligent, integrated platform designed to enhance modern farming through real-time data analysis and automated decision-making. The system combines crop disease detection, soil moisture prediction, automated irrigation, and weather-risk alerts to provide farmers with precise, timely insights for improving crop health and productivity. Using machine learning models, the system analyzes images, sensor data, and environmental parameters to identify early signs of disease, predict water requirements, and activate irrigation only when necessary. Additionally, weather-risk alerts help farmers proactively prepare for events such as heavy rainfall, drought, heatwaves, or storms. By reducing manual labor, minimizing the risk of crop loss, optimizing water usage, and enabling data-driven farming decisions, this AI-powered solution significantly improves agricultural efficiency and sustainability.
KEYWORDS
Publication Date
11/11/2025
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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