IoT-based Crop Monitoring and Disease Detection

This study investigates the revolutionary potential of IoT in agriculture for disease diagnosis and crop monitoring, intending to meet the pressing requirements of food demand and sustainable farming. As a result, in this research, we propose an Arduino UNO-based robot that will monitor crops using an ESP32 CAM. The camera will deliver photos and realtime video to the server, where they will be analyzed using the image processing capabilities of the OpenCV Library to determine whether a crop is infected based on its color. In this way, the system will detect the location for probable damage or infections. This could help with greater yields, less waste, and early illness detection. Waste reduction will considerably benefit the environment and sustainability. Future work could include more powerful image processing to detect more colors and better cameras for the gadget. Adding object identification could also aid in identifying not only the crops but also the specific diseases they may be carrying.