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Comprehensive Overview and Analytical Study on Automatic Bird Repellent Laser System for Crop Protection
Author NameAffiliationPostcode
Sireesha Abotula* 1.Department of Computer Science and Engineering,GITAM Deemed to be University
2.Department of Information Technology, Andhra University 		530045
Srinivas Gorla Department of Computer Science and Engineering,GITAM Deemed to be University 530045
Prasad Reddy PVGD Department of Computer Science and Systems Engineering,Andhra University 530003
Mohankrishna S Department of Computer Science and Engineering,GITAM Deemed to be University 530045
Abstract:
Birds are a huge hazard to agriculture all around the world, causing harm to profitable field crops. Growers use a variety of techniques to keep them away, including visual, auditory, tactile, and olfactory deterrents. This study presents a comprehensive overview of current bird repellant approaches used in agricultural contexts, as well as potential new ways. The bird repellent techniques include Internet of Things technology, Deep Learning, Convolutional Neural Network, Unmanned Aerial Vehicles, Wireless Sensor Networks and Laser biotechnology. This study"s goal is to find and review about previous approach towards repellent of birds in the crop fields using various technologies.
Key words:  Bird  repellent, crop  protection, IoT, UAV, Deep  learning
DOI：
Clc Number:TP39,X171
Fund:

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