Abstract
This research presents an innovative method for agricultural pest control using an electric scarecrow system that runs on solar power and is controlled by the YOLOv5 object detection model. Historically, traditional scarecrows have not proven very effective at keeping out pests because they are immovable and have low accuracy in intrusion detection. To address these limitations, our innovative approach makes use of solar energy for continuous operation and the YOLOv5 deep learning architecture for real time pest identification. Our system's main component is a solar powered platform that is placed in agricultural fields with motion sensors and cameras. The YOLOv5 model is used to evaluate live camera feeds and is deployed on edge devices to rapidly and correctly identify pests. The scarecrow's electric system releases deterrents when it detects something. This study provides a thorough examination of the technical details, performance indicators, and financial sustainability of the solar powered electric scarecrow. According to the research, this creative approach has the potential to completely transform crop protection techniques by providing a cost effective and environmentally friendly substitute for conventional scarecrow systems.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
