A Perspective Study on Importance of Machine Learning in Agriculture using Image Classification Algorithm

Machine learning is a promising domain which is widely used now a days in the area of agriculture. The available of manpower for agriculture is not enough good and skill full farmers are less. while the situation of the crop is not that much easy to detect or identified and prevent the diseases in the crop. It is also widely employed in many agricultural fields such as topsoil management, yield management, water management, disease management and climate conditions. The machine learning models facilitate very speedy and optimal decisions. The model of machine learning involves with training as well as testing to predict the accuracy of the result. The use of machine learning in agriculture helps to improve the productivity and better management on soil classification, disease detection, species management, water management, yield prediction, crop quality and weed detection. This article providing detailed information on various machine learning approaches proposed in the past five years by emphasizing the advantage and disadvantages. It also analysis different machine learning algorithms used in the modern agricultural field.