Machine learning Implementation in IoT based Intelligent System for Agriculture

Abstract

Innovation in Internet of Things (IoT) has acquired changes in everyday life. Agriculture plays a major role in most of the countries and the need for this sector is to become "Smart". A primary inference is the absence of knowledge with respect to soil. There are many types of soil present and each kind of soil has various qualities. A thorough knowledge about soil conditions give rise to various information of soil that can be handled to obtain better yields of crop. Machine learning is a trending technology and it helps in the agricultural area to build the exactness and gives solutions for the crop yield problem. Machine learning (ML) is combined with enormous informational advancements and superior figuring to make new chances to unwind, measure, and understand the data intensive prediction in agricultural environments. This paper conducts a thorough study of various concepts of machine learning for IoT based Smart Agriculture system.