Study of Revolutionary use of Machine Learning and IoT based Model in Agricultural Sector: A Review

In traditional ways, understanding the situation of the crop is not that much easy to detect and prevent the diseases in the crop. The availability of skill full farmers and manpower is less. Farmers still have insufficient knowledge and awareness of available latest technologies to facilitate fast and effective management of crops, parameters like soil health, effect of weather condition, water management, species management, yield prediction, crop recommendation, use of fertilizers etc. Now a days Machine learning model is widely used to predict the accuracy of the result. This article aims to provide information of different machine learning approaches proposed to study soil health and crop predictions with its advantages in agriculture sector of India in last decade.