rahuldkjain/Crop_Prediction
/Crop_PredictionA look at rahuldkjain/Crop_Prediction: 85 stars on GitHub, written primarily in HTML, tracked under the Backend category. 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.
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How active is development on rahuldkjain/Crop_Prediction?
The most recent commit recorded on rahuldkjain/Crop_Prediction was 7.3 years ago, based on the GitHub push timestamp. The repository has 37 forks — one of the better signals of community interest.
How does rahuldkjain/Crop_Prediction compare to other Backend projects?
rahuldkjain/Crop_Prediction is tracked by TopGit in the Backend category, with 85 GitHub stars and written in HTML. Browse the Backend topic page on TopGit to compare it against similar projects by stars and activity.
How many stars does rahuldkjain/Crop_Prediction have?
rahuldkjain/Crop_Prediction has 85 GitHub stars — refresh the page for the live number, or check github.com/rahuldkjain/Crop_Prediction. TopGit mirrors GitHub's count but does not claim minute-by-minute accuracy.
What is rahuldkjain/Crop_Prediction?
rahuldkjain/Crop_Prediction (rahuldkjain/Crop_Prediction) is a HTML project on GitHub. From the project's own README: 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.
What language is rahuldkjain/Crop_Prediction written in?
rahuldkjain/Crop_Prediction is written primarily in HTML. GitHub's language field is based on the largest share of bytes in the default branch.
What topics is rahuldkjain/Crop_Prediction associated with?
GitHub's repository topics for rahuldkjain/Crop_Prediction: "crop", "crop-price-prediction", "dataset", "decision-tree-regression", "flask", "machine-learning", "multivariable", "price-prediction", "python", "rainfall", "wpi". TopGit's editorial category is Backend.
Why is rahuldkjain/Crop_Prediction categorized under Backend?
TopGit places rahuldkjain/Crop_Prediction in the Backend category based on its GitHub topics and description (tagged: "crop", "crop-price-prediction", "dataset"). Categories are assigned from real repository metadata, not editorial guesswork.
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