AI-Driven Deterrence System Utilizing YOLO Algorithm for Real-Time Wildlife Detection and Mitigation

Animals cause more destruction on crops because there are animals proven to disturb crops, such as buffaloes, sheep, cows, and tapirs, forcing big losses to the farmer. Crop watching requires all-day care due to the vast size of acreage. This can be relieved through physical barriers, like walls or motorized fences, colorful enclosures, or cameras monitoring fields to scare off animals. Other people have attempted using decoys or scarecrows, though their effectiveness to ward off animals has remained questionable. Therefore, an AI-based system is proposed here, through which images would be fed to cameras with the object detection algorithms like YOLOv3 and OpenCV, cv2, in order to prevent the intrusions of animals on crops. It will detect the animals based on the movement and behavioral characteristics. If it detects the clapping or whistling sounds being produced by humans, it will raise an alarm to alert the people around as well as make quite a ruckus to scare away those animals. As soon as any stray animal is spotted entering the field, instant messaging will be sent to the farmer. This is a totally full-proof system of crop protection against the most destructive animals because it captures through live video feeds.