Crop Price Prediction Using Decision Tree

Abstract

In our nation, farming is the main support for economy. Indian families are depending on agriculture. The nation s GDP is basically concentrated on agriculture. It s far essential to improvize farming practices to fulfill the difficult necessi ties. The quick variations in crop charges are common place inside the market. These fluctuations in costs are specifically because of the previous methods. This results in varaiations in demand and additionally within the marketplace worth of a crop. As soon as the cost increases and farmers be afflicted by an investment deprivation after the worth reduces. It will lead the plants to become waste, turning into a drawback for purchasers. Farmers arenot aware about the call for inside the rising agricultural economy this is taking place. Farmers arenot any further seeking to utilize analytic to acquire data they want to realise workable insights and make clever choices. In other nations many of the farmers are start ing to move towards automatic cultivation. The choice tree set of rules are associated with the group of learning algorithms which might be supervised. Productiveness can be advanced by using expertise and forecasting growth expenses via machine learning. A logical crop rate predicting gadgets are able to provide cultivators possibilities which could advantage human beings in a bigger context.