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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65565
Volume:
10 |
6 |
Jun 2026
Pages:
1-4
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.

Electronics and telecommunication
Sinhgad academy of engineering kondwa

Electronics and telecommunication
Sinhgad academy of engineering kondwa

Electronics and telecommunication
Sinhgad academy of engineering kondwa
The Smart Agriculture System using ESP32 for Motor Monitoring and Crop Health Management is designed to improve farming efficiency through the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The system continuously monitors important agricultural parameters such as temperature, humidity, motor voltage, and current in real time. The ESP32 microcontroller collects and processes sensor data and transmits it to the Smart Kissan mobile application, enabling farmers to monitor field conditions and control irrigation motors remotely. In addition, the system incorporates an AI-based crop disease detection module that analyzes leaf images uploaded by farmers and provides disease predictions along with treatment recommendations. This integrated approach helps reduce manual effort, improve motor safety, enable early disease detection, increase crop productivity, and support sustainable farming practices. The proposed system offers a cost-effective, user-friendly, and scalable solution for modern agriculture.
KEYWORDS
A.Summery of finding: The smart agriculture system using ESP32 effectively monitors soil moisture, temperature, and humidity in real time. It automatically controls the irrigation motor, reducing water wastage and manual effort. The system also helps in early detection of crop diseases and provides useful insights for better decision-making. Overall, it improves efficiency, saves resources, and supports sustainable farming. B.Implication: This system shows that using smart technology in agriculture can improve efficiency and reduce water wastage. It helps farmers make better decisions through real-time data and automation. The project also supports sustainable farming and reduces manual effort. Overall, it highlights the importance of adopting IoT-based solutions in modern agriculture.
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Publication Date
6/26/2026
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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