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Our project aims to develop a Smart Agricultural Monitoring and Analysis System using the Maixduino Kit. The system utilizes AI and IoT to monitor crop health, detect pests, and optimize irrigation. The Maixduino board, equipped with an AI-powered camera, is deployed in the field to capture images of crops. The AI model, running on the Maixduino, processes these images in real-time to detect signs of disease or pest infestations.
The system also integrates soil moisture sensors, temperature sensors, and humidity sensors, connected via the ESP32 module, to monitor environmental conditions. These sensors send data to a cloud platform for further analysis and visualization. The system can then provide farmers with actionable insights, such as when to water crops, apply fertilizers, or take preventive measures against pests.
Additionally, the system can send alerts to the farmer's smartphone via an IoT platform if any anomalies are detected, ensuring timely intervention to protect crop yield and quality. The entire setup is solar-powered, making it sustainable and suitable for remote agricultural areas.