Gangavarapu Naveen

Our goal is mainly focused on agriculture. In agriculture, farmers play the most important role. When prices fall after harvest, farmers face enormous losses. A country’s GDP is affected by price fluctuations in agricultural products. Crop price estimates and valuations are performed to make intelligent decisions before growing a particular type of crop. Predicting crop prices helps you make better decisions, minimize losses, and manage the risk of price fluctuations. In this paper, we have predicted the prices of various crops by analyzing past rainfall and WPI data. We used a decision tree regressor (supervised machine learning algorithm) to analyze previous data, predict prices for the latest data, and estimate prices for the 12 months