| # Fertilizer Recommendation | |
| ### Powered by machine learning models, evaluates input factors to provide precise fertilizer recommendations, enhancing crop health and productivity. | |
| ## Demo | |
| ### Input Interface | |
| <img src="https://github.com/07Sada/Fertilizer-Recommendation/assets/112761379/7623ab94-c7c8-4343-814d-863849e67850" alt="Image 1" width="800"> | |
| ### Output Interface | |
| <img src="https://github.com/07Sada/Fertilizer-Recommendation/assets/112761379/45e3dee7-f21d-4570-8df8-56e8cf2a9538" alt="Image 1" width="800"> | |
| ## Data Source | |
| This dataset contains information about the soil, environmental conditions, crop type, and fertilizer use for different crops. The dataset includes the following columns: | |
| - `Temparature`: The temperature in degrees Celsius. | |
| - `Humidity`: The relative humidity in percent. | |
| - `Moisture`: The moisture content of the soil in percent. | |
| - `Soil Type`: The type of soil. | |
| - `Crop Type`: The type of crop. | |
| - `Nitrogen`: The amount of nitrogen in the soil in kilograms per hectare. | |
| - `Potassium`: The amount of potassium in the soil in kilograms per hectare. | |
| - `Phosphorous`: The amount of phosphorus in the soil in kilograms per hectare. | |
| - `Fertilizer Name`: The name of the fertilizer used. | |
| [Link](https://www.kaggle.com/datasets/gdabhishek/fertilizer-prediction) for the dataset | |
| <details> | |
| <summary>Supported fertilizer | |
| </summary> | |
| - UREA | |
| - DAP | |
| - 14-35-14 | |
| - 28-28 | |
| - 17-17-17 | |
| - 20-20 | |
| - 10-26-26 | |
| </details> | |
| ## Project Details | |
| This repository is submodule for [CropGaurd](https://github.com/07Sada/CropGaurd.git) | |
| ## Project PipeLine Stages | |
|  | |