Smart Crop Protection System From Wild Animals Using Artificial Intelligence

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Author(s): Shailaja S. Mudengudi (Tontadrya College of Engineering, India), Muktha S. Patil (Tontadarya College of Engineering, India)and Neetha S. Mudaraddi (Tontadarya College of Engineering, India)
Copyright: 2023
Pages: 19
Source title: Machine Learning and Deep Learning for Smart Agriculture and Applications
Source Author(s)/Editor(s): Mohamamd Farukh Hashmi (National Institute of Technology, Warangal, India)and Avinash G. Kesakr (Visvesvaraya National Institute of Technology, India)
DOI: 10.4018/978-1-6684-9975-7.ch009

Keywords: Agricultural and Food Sciences / Engineering Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

The first major threat to the farmers is drought. Crop vandalization by animals is the second major threat after drought. Crops are vulnerable to animals. Therefore, it is very important to monitor the nearby presence of animals. The main aim of this project is to provide a better solution in order to resolve this problem. In this chapter, the authors proposed a method which could detect the presence of animal and offer a warning. They used a microcontroller and camera to detect the movement of animals, and send signal to the controller. It diverts the animal by producing sound; and, further, a signal is transmitted to GSM which gives an alert to the owner of the crop immediately. The proposed monitoring scheme is to provide an early warning about possible intrusion and damage by animals.

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