Integrating Edge AI and IoT: A Deep Learning Approach to Safe Guard Crops from Wildlife Threats

Integrating Edge AI and IoT: A Deep Learning Approach to Safeguard Crops from Wildlife Threats is an intelligent agricultural protection system designed to prevent crop damage caused by wild animals. The system utilizes Raspberry Pi as the main controller and a USB camera for real-time wildlife detection. Deep learning algorithms are trained to identify animals such as wild boars, monkeys, elephants, and other crop-threatening wildlife. When an animal is detected near the agricultural field, the system activates alert mechanisms including speakers and red LEDs to warn and deter the intruder. Detection information is displayed on an LCD screen and uploaded to a cloud platform through IoT technology for remote monitoring. Python is used for image processing, deep learning model execution, and IoT communication. The proposed system enables continuous surveillance, reduces crop losses, and supports smart agricultural protection through edge AI technology. When wildlife is detected near the agricultural field, the system activates deterrent mechanisms such as speakers, red LEDs, and a controlled inverter-based fencing alert system to discourage animal intrusion. Detection information is displayed on the LCD screen and uploaded to the cloud through IoT technology for remote monitoring.