There are 1 repository under crop-price-prediction topic.
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.
A mobile application involving machine learning to recommend crop variety and also predict crop yield.
Leveraging machine learning algorithms for accurate crop yield prediction and price estimation based on temperature, rainfall, humidity, NPK, location
Machine learning model using the Random Forest algorithm to predict crop prices and analyze future price trends.