https://github.com/rogendo/crop_yield_prediction

This project is a crop yield prediction. It predicts the most suitable crop to be cultivated or grown in a certain area with certain temperatures, rainfall, soil ph etc.
https://github.com/rogendo/crop_yield_prediction

farming machine-learning prediction streamlit

Last synced: 4 days ago
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This project is a crop yield prediction. It predicts the most suitable crop to be cultivated or grown in a certain area with certain temperatures, rainfall, soil ph etc.

• Host: GitHub
• URL: https://github.com/rogendo/crop_yield_prediction
• Owner: Rogendo
• Created: 2023-04-06T17:21:05.000Z (over 1 year ago)
• Default Branch: deployed
• Last Pushed: 2024-03-22T10:14:08.000Z (8 months ago)
• Last Synced: 2024-04-27T00:28:21.930Z (7 months ago)
• Topics: farming, machine-learning, prediction, streamlit
• Language: HTML
• Homepage: https://rogendo-crop-yield-prediction-app-deployed-xaznzw.streamlit.app/
• Size: 645 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        



 Crop Yield Prediction - Readme.md


 Intro - Welcome to Crop Yield Prediction model, making predictions easy for you




 The Crop yield prediction  uses a series of inputs to analyze a crop's growwing factors such as soil ph, temperature, rainfall, Potassium, Nitrogen and Phosporus level. Based on the results, it recommends potential crop grown. 


# How to run it?

The following instructions were tested on the Windows and Linux with Python 3.8.

1. Clone this repository

```

git clone   https://github.com/Rogendo/Crop_Yield_Prediction.git

```

```

cd Crop_Yield_Prediction/

```

2. Create and activate virtual environment 

```

python -m venv venv

```

on Linux system

```

source venv/bin/activate

```

on Windows system

```

.\venv\Scripts\activate.bat

```

3. Install requirements

```

pip install  -r requirements.txt

```

4. Run the project 

```

streamlit run app.py

```

![Screenshot 2023-04-09 210137](https://user-images.githubusercontent.com/62094358/230796373-a9a891c3-d416-45af-83f6-1abd7ffc1a37.png)

 List of features 




 

  
Crop yield prediction



Contributing

Keep it simple..


Author or Acknowledgments



  
Peter Rogendo




License


This project is licensed under the MIT License