An Investigation of the Utilizations of Machine Learning Methods in Precision Agriculture

A revolution in farming is taking place all over the world thanks to precision agriculture, which makes use of machine learning (ML) and the Internet of Things (IoT). The combination of machine learning algorithms and Internet of Things sensors makes it possible to make decisions based on data in a variety of agricultural sectors, including crop management and soil analysis. Machine learning is able to provide predictions about soil factors, improve agricultural yields, and assist in the detection of diseases and weeds, as well as reduce resource waste and increase productivity. The implementation of this revolutionary strategy addresses issues such as the depletion of resources and the lack of food security, so becoming farming more effective and sustainable for the future.