Volume 20 No 20 (2022)
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Eco-Friendly Crops Protection From Damage Caused By Birds Using ML
Dr.S.Meenakshi Sundaram, Dr. P. Sivakumar, Dr. M. Parthiban, Dr.U.Revathy
Abstract
Agriculture is one of the most important area in India's economy. Agriculture is the significant type of revenue for the majority individuals in various locales of the world. Birds frequently affect crop yield, which is a common issue faced by most of the farmers. Crop damage caused by birds is a serious concern for most farmers in many countries, as birds can result in large losses in productivity and additional financial problems. It is quite difficult for a farmer to check the crop throughout the day. Although numerous systems have been suggested to date to address this issue, moreover, those solutions also have problems, as they may harm birds. As technology advances, it is crucial to create a better system to address the issues that may persist in the future. This work is mainly concentrated on the development of a smart technological system that will monitor intruders that are entering the crop. If there is any malicious activity (intruders entering the crop) in the crop, the system will notify the landowner and produces a buzzing sound, which will scare the birds. The system will act as a practical one that helps the farmers to prevent attacks from birds.
Keywords
Agriculture, Convolutional Neural Networks, Machine Learning, Efficient Net, Crop Damage, Birds, Intruders, Crop Production, Image Classification.
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