https://github.com/VaibhavSaini19/Crop-Yield-Prediction-using-ML
A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input
https://github.com/VaibhavSaini19/Crop-Yield-Prediction-using-ML
linear-regression machine-learning php python web-application
Last synced: 8 months ago
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A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input
- Host: GitHub
- URL: https://github.com/VaibhavSaini19/Crop-Yield-Prediction-using-ML
- Owner: VaibhavSaini19
- Created: 2019-12-22T06:56:06.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-07-06T22:02:07.000Z (over 2 years ago)
- Last Synced: 2024-08-04T03:05:19.516Z (over 1 year ago)
- Topics: linear-regression, machine-learning, php, python, web-application
- Language: Hack
- Homepage:
- Size: 1.11 MB
- Stars: 65
- Watchers: 2
- Forks: 39
- Open Issues: 8
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Metadata Files:
- Readme: README.md
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README
# Crop-Yield-Prediction-using-ML
A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input.
The application uses a Random Forest Machine Learning model, which was trained on over 20 years of data from 30 districts of Maharashtra, along with automatic live weather fetching for prediction. The model achieved
an accuracy of around 86% and can be even further improved with more data.
## Usage
- Make sure you have WAMP / XAMPP installed on your machine
- Clone the repo
- Ensure Apache server is running
- Run index.php through localhost
- Select the `district`, `Crop`, `Soil` and enter the `Area`
- Click on `Predict`
- Wait for a few seconds
- The results will appear below the predict button
```Web link will be available soon...untill then```
Check out the preview
## Preview
