Crop_Prediction

ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authentic datasets of Annual Rainfall, WPI Index for about the previous 10 years. This implementation proved to be promising with 93-95% accuracy. Maintained by rahuldkjain on GitHub, where it has earned 85 stars from the community.

It's actively developed around crop, crop-price-prediction, dataset, and is a solid reference for anyone building with these tools.