SCRS Proceedings of International Conference of Undergraduate Students 2023
Protecting Crops with Real-time Animal Detection Systems
Authors: Divya Sharma, Krishankant Yadav, Nakul Sharma, Abhigya Jain and Janki Ballabh Sharma
Publishing Date: 09-12-2023
ISBN: 978-81-955020-4-2
Abstract
The protection of crops is a vital aspect of agriculture as it ensures a steady supply of food for the growing population. In recent years, the use of Real-time Animal Detection Systems (RTADS) has gained attention in the agricultural sector. These systems utilize machine-learning algorithms and computer vision techniques to detect and track animals that can cause damage to crops. In this paper, we present a system that aims to develop and evaluate an RTADS for protecting crops from animal damage. The proposed system uses a combination of sensors, cameras, and machine-learning algorithms to detect and track animals in real time. The system is evaluated on a test farm with various types of crops and animals.
Keywords
Artificial intelligence, Machine learning, Image processing, Ultrasonic sensor, infrared rays sensor
Cite as
Divya Sharma, Krishankant Yadav, Nakul Sharma, Abhigya Jain and Janki Ballabh Sharma, "Protecting Crops with Real-time Animal Detection Systems", In: Deepak Bhatia and Himanshu Arora (eds), SCRS Proceedings of International Conference of Undergraduate Students 2023, SCRS, India, 2023, pp. 97-106. https://doi.org/10.56155/978-81-955020-4-2-10