| --- |
| language: |
| - en |
| - hi |
| tags: |
| - agriculture |
| - fertilizer-recommendation |
| - sklearn |
| - india |
| - kissansahyog |
| license: mit |
| --- |
| |
| # 🧪 Poshan — Fertilizer Recommendation Model |
|
|
| Part of the [KissanSahyog](https://github.com/prathamrajbhar/KissanSahyog) agritech platform. |
|
|
| **Poshan** (Hindi: पोषण) means "nourishment / nutrition". |
|
|
| ## Model Files |
| | File | Description | |
| |---|---| |
| | `fertilizer_model.pkl` | Fertilizer classifier | |
| | `columns.pkl` | Input feature column order | |
| | `label_encoder.pkl` | Fertilizer name label encoder | |
|
|
| ## Inputs |
| - `Soil Type`, `Crop Type` (categorical) |
| - `Temperature`, `Humidity`, `Moisture`, `N`, `P`, `K` (numeric) |
|
|
| ## Output |
| - Recommended fertilizer name + dosage notes |
|
|
| ## Usage |
| ```python |
| import joblib |
| import pandas as pd |
| model = joblib.load("fertilizer_model.pkl") |
| cols = joblib.load("columns.pkl") |
| enc = joblib.load("label_encoder.pkl") |
| pred = model.predict(pd.DataFrame([your_input], columns=cols)) |
| print(enc.inverse_transform(pred)) |
| ``` |
|
|
