Research review on AI and Machine learning related works

Abstract

In this review, several innovative methods and the associated system were created for agriculture navigation, mapping, object detection, and related vehicles technologies. Based on the experiences with these applications, it is believed all the addressed AI techniques will be useful to the development of future AI farms. Autonomous and precision agricultural systems mitigate issues of current agriculture. This system is designed to reduce labor issues for the most dangerous and tedious agronomic tasks, improve efficiency, and reduce environmental impacts through better utilization of crop inputs. With the development of computing infrastructure, hardware, and improving algorithms, this system can enable more powerful applications in the future.