Design and Development of Smart System for the Identification and Diversion of Wild Animal in Agricultural Field

As human populations continue to expand, conflicts between agriculture and wildlife have become increasingly prevalent. The “Design and Development of a Smart System for the Identification and Diversion of Wild Animals in Agricultural Field” addresses this critical issue by proposing an innovative solution that leverages cutting-edge technology to minimize crop damage and protect both agricultural livelihoods and wildlife populations. This project centers on the creation of a comprehensive smart system that integrates various sensors, including cameras, infrared detectors, and machine learning algorithms, to accurately identify and track wild animals entering agricultural fields both Day-time and Night-time. By using 360 degree night vision camera, samples are taken continuously. With the samples, Raspberry pi compare it with the database to detect the animal By which it could be activate the irritating frequency or high beam for certain wild animal. Because of using raspberry Pi the image processing and processing speed will be high. Upon detection, the system employs real-time data analysis to categorize the species and assess the potential threat to crops. Subsequently, it triggers a non-harmful diversion mechanism, such as flashing lights, sounds, or automated barriers, to deter the animals from causing damage. The objectives of this project include reducing crop losses, mitigating Conflicts between people and wildlife, as well as encouraging agriculture and wildlife coexistence. Moreover, it aims to provide valuable data for conservation efforts and wildlife monitoring. By implementing this Smart System, we anticipate not only safeguarding agricultural yields but also contributing to the conservation of wildlife populations. The research and technology behind this project have the potential to serve as a model for sustainable cohabitation between humans and the world.