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# 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
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