Applications of Machine Learning in Agriculture

Abstract

Today's epoch christened as the modern epoch, is the epoch of information and technologies. No field is untouched with the emergence of technologies. In different segments of agriculture, numerous technologies have been employed extensively. Machine learning has extensively been employed in every field today. It is composed of high-performance computing and big data technologies. Machine learning (ML) and its variants have been employed in different domains of agriculture like yield prediction, weed detection, disease detection, water management, soil management, livestock production, etc. Machine learning techniques have emerged as a boon to agriculture and have increased the quality and quantity of agricultural products. In this chapter, some applications of machine learning technologies in agriculture have been explored.