Sound analysis-based animal recognition and repel system for agriculture

Abstract

Crop damage by animals and insects is a significant challenge faced by the agricultural sector. Recently, the number of crop damages due to animal interventions has increased. As a solution to this problem, an animal recognition and repel system is proposed. The proposed system detects the animal’s presence, identifies the animal, and diverts the identified animal away from the agriculture field. A passive infrared (PIR) sensor detects the presence of any animal in the surrounding area and, the sound analysis system identifies the animal by analyzing the sound of the site. Further, the identified animal will be driven away by generating specific ultrasonic sounds that can only irritate the particular animal with a combination of a bright light-emitting diode (LED) that works only in a dark environment. Moreover, a message is transmitted to the owner by notifying the type of animal through a Global System for Mobile Communication (GSM) module. Therefore, the notified owner can work on additional protection methods. This paper presents the development and testing of the system, including its effectiveness in various environments and its ability to repel different types of animals. Moreover, this study provides valuable insights into developing and implementing animal-repellent systems for managing wildlife.