Machine Learning Techniques in Agriculture

Abstract

Food is considered as a basic need of human being which can be satisfied through farming. Agriculture not only fulfils human’s basic needs, but also considered as source of employment worldwide. Agriculture is considered as a backbone of economy and source of employment in the developing countries like in India. Indian farmer still struggles when it comes to picking up the right crop for right biological and non-biological factors. Thus, to accelerate the yield of crops, different AI techniques been proposed worldwide. Advancement in area of machine learning has helped improving gains in agriculture. Machine learning is the current technology which is benefiting farmers to minimize the losses in the farming by providing rich recommendations and insights about the crops. This paper presents an extensive of latest machine learning techniques in agriculture. Techniques of machine learning in agriculture allows more efficient and precise farming with less human manpower with quality production.