Crop_Prediction

flask

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.

How to download and setup Crop_Prediction

Open terminal and run command

git clone https://github.com/rahuldkjain/Crop_Prediction.git

git clone is used to create a copy or clone of Crop_Prediction repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Crop_Prediction https://github.com/rahuldkjain/Crop_Prediction/archive/master.zip

Or simply clone Crop_Prediction with SSH

[email protected]:rahuldkjain/Crop_Prediction.git

If you have some problems with Crop_Prediction

You may open issue on Crop_Prediction support forum (system) here: https://github.com/rahuldkjain/Crop_Prediction/issues

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