Authors - Nivedita Shimbre, Prema sahane, Shrutika Amzire, Arya Ganorkar, Pavan Kulkarni, Pawan Bondre Abstract - As INDIA is on the verge of getting digitalised India, farmers also need to become smart. They need a system that recommends them crops and its varieties and proper scheduling methods for increasing their crop yield. To obtain the best crop varieties for a given area factors such as soil moisture, fertility and climatic condition are required. And our system will suggest crops and its varieties on the basis of previous History of crop production and time required for the crop. This system also focuses on recommending suitable fertilizers for crops. It also provides the schedule and quantity of fertilizer to be used. This system will use various Machine learning Algorithms like Support Vector Machine, Random Forest Regressor, Gradient Boosting, Linear Regression etc to recommend best crops, its varieties and fertilizers. It also provides Automatic Irrigation Management by using IoT.
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