Smart Agriculture Using IoT and Machine Learning

Abstract

Smart agriculture systems have emerged as a result of the convergence of IoT and ML technologies, which have had a profound impact on the agricultural sector. The Internet of Things (IoT) and machine learning (ML) are used in this abstract to present an overview of a smart agriculture system that maximizes crop yields and product quality. The Internet of Things (IoT) has several practical uses in agriculture, including helping farmers keep tabs on soil moisture, temperature, pH levels, and water storage levels in real time. The use of smart farming technologies improves agricultural productivity and allows for the prediction of the optimal planting location.