| # Crop Recommendation | |
| #### Harnessing the capabilities of machine learning models, analyzes specific parameters to suggest the most suitable crops, optimizing yields and efficiency. | |
| ## Demo | |
| ### Input Interface | |
| <img src="https://github.com/07Sada/crop-recommendation/assets/112761379/3f8c5f4d-1df4-4516-b428-f4b95a2cc5df" alt="Image 1" width="800"> | |
| ### Output Interface | |
| <img src="https://github.com/07Sada/crop-recommendation/assets/112761379/86a4aefd-b973-40ad-b79c-f2b1dd070d91" alt="Image 1" width="800"> | |
| ## Data Source | |
| This dataset contains information about the soil and environmental conditions that are ideal for growing different crops. The dataset includes the following columns: | |
| - `N`: The ratio of nitrogen content in the soil. | |
| - `P`: The ratio of phosphorus content in the soil. | |
| - `K`: The ratio of potassium content in the soil. | |
| - `Temperature`: The temperature in degrees Celsius. | |
| - `Humidity`: The relative humidity in percent. | |
| - `pH`: The pH value of the soil. | |
| - `Rainfall`: The rainfall in millimeters. | |
| [Link](https://www.kaggle.com/datasets/atharvaingle/crop-recommendation-dataset) for the dataset | |
| <details> | |
| <summary>Supported crops | |
| </summary> | |
| - Apple | |
| - Blueberry | |
| - Cherry | |
| - Corn | |
| - Grape | |
| - Pepper | |
| - Orange | |
| - Peach | |
| - Potato | |
| - Soybean | |
| - Strawberry | |
| - Tomato | |
| - Squash | |
| - Raspberry | |
| </details> | |
| ## Project Details | |
| This is repository is submodule for [CropGaurd](https://github.com/07Sada/CropGaurd.git) | |
| ## Project PipeLine Stages | |
|  | |