IoT-Based Smart Automatic Irrigation System for Precision Agriculture Using ESP32 and Environmental Sensors

This paper presented an IoT-Based Smart Automatic Irrigation System for Precision Agriculture Using ESP32 and Environmental Sensors with AI-Based Plant Disease Detection. The proposed system integrates ESP32, environmental sensors, ESP32-CAM, YOLOv8, Flask, Firebase, and a Django web dashboard to provide real-time field monitoring, automated irrigation, and intelligent disease detection. Experimental evaluation demonstrated reliable sensor monitoring, efficient water management, and remote accessibility. The developed system offers a cost-effective, scalable, and intelligent solution that enhances crop health, conserves water resources, and supports sustainable precision agriculture.

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