Animal Detection for Farmlands using Image Processing and IoT

Abstract

Monitoring agricultural land for animal infiltration is the objective of a crop protection system. India is a nation where the majority of its economy relies on agriculture, and where farmers form the country’s backbone. The country’s agricultural industry has been afflicted by a number of issues, with the entry of unwelcome animals being one of the most significant risks farmers faces. This results in crop damage, which leads to a decline in productivity. Traditional tactics consisting of maintaining a watch and observing the area put a man in risk during an incursion. Therefore, a device that automatically monitors the area without harming humans or intruders is required to avoid conflicts between humans and animals. This suggested system combines automated detection and repellant technology with the internet of things, which informs the appropriate authority, such as the farmer or forest authorities, when an intruder is identified and employs the harmless impact of sound to repel the invader. It employs wireless sensors, an image processing unit, and a camera that captures continually using GSM to warn the individual. This survey describes the system’s components and implementation techniques.