Crop protection from animals based on machine learning

Department of Electronics and Communication Engineering, P.S.R. Engineering College, Sivakasi, India

^* Corresponding author: pmarichamy@psr.edu.in

Abstract

This paper will discuss the present level of research and development on human-wildlife conflicts, there are bad interactions between humans and wild animals that are bad for both the resources of the human population as well as the ecosystems of wildlife. Animal detection has an impact on both human food security and animal welfare because it arises from the conflict between humans and wildlife over natural resources. As the population has grown and many communities' land use patterns have changed, these disputes have become more prevalent in recent years. The Mobile Net SSD type is used in this automatic intrusion and deterrent system for enhanced performance. When a dangerous animal is discovered, the system emits an alarm sound and notifies the relevant authorities, alerting them to the discovery. It is more human- friendly due to the quick detection process, and it is more animal-friendly due to the gentle repulsive process.