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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM59776
Volume:
10 |
4 |
April 2026
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.
Agriculture is facing the challenge of meeting increasing food demands while being sustainable and efficient. This paper presents a Smart Agriculture System that uses Internet of Things (IoT) technology and machine learning to help farmers make better decisions. The system includes sensors to monitor soil conditions and weather, providing real-time updates. A machine learning model (CNN) is used to detect diseases in plant leaves early, while another model (Random Forest) Â Â predicts seed sizes to guide crop planning. These features help farmers save resources, improve crop quality, and increase yields. By combining traditional farming with modern technology, this system offers practical solutions to common farming problems. The goal is to make farming easier, more productive, and environmentally friendly while contributing to sustainable food production.
KEYWORDS
Publication Date
4/23/2025
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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