A Survey on Machine Learning enabled SWARM robots for Autonomous and Precision Agriculture

Abstract

Machine learning has evolved with high performing computing algorithms along with Robotics and Artificial intelligence technologies. SWARM robotic system is a diligence of multi robot intelligence with collaborative communication approach. SWARM robots play a major role in precision agriculture. SWARM robots mainly focus on aspects like coordination, decentralized control and self organization. These technologies have created new opportunities in multidisciplinary agricultural domain.  Integration of Machine learning principles with SWARM robotics will form a novel solution to make agricultural practice even more intelligent and accurate. In this paper, we present a comprehensive review of research related to adoption Machine learning principles in precision agriculture for various autonomous agricultural activities using SWARM robots.