IOT Driven Pest and Disease Detection System for Crop Protection

Agricultural productivity is significantly impacted by pests, diseases, and environmental conditions, requiring intelligent and automated solutions for effective crop protection. This project introduces an IoT-driven pest and disease detection system that integrates PIR sensors, an ESP32-CAM module, a soil moisture sensor, and a DHT11 sensor to create a smart monitoring and control mechanism for farms. The PIR sensor detects pest movements, activating a servo-controlled spray system to precisely apply pesticides, reducing chemical overuse and ensuring targeted pest control. The ESP32-CAM module enhances pest detection by capturing real-time images of affected areas, which are then sent to a Telegram bot for remote monitoring. This enables farmers to assess pest infestations quickly and take necessary actions. Additionally, the system includes an automated irrigation mechanism driven by a soil moisture sensor, which monitors soil conditions and activates the watering system when moisture levels drop below a predefined threshold. This ensures optimal soil hydration, preventing under- or over-watering. Furthermore, the DHT11 sensor continuously tracks temperature and humidity levels, providing real-time environmental data that is transmitted to the Blynk IoT platform. This allows farmers to remotely monitor field conditions and make informed decisions to improve crop health. By combining automated pest control, image-based monitoring, smart irrigation, and climate sensing, this project enhances efficiency, reduces manual labor, and promotes sustainable farming practices. The system’s real-time updates, remote accessibility, and precision control make it a powerful tool for modern agricultural management.