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هذا الالتزام موجود في:
2026-06-10 18:21:17 +00:00
التزام 4d871f85bc
5 ملفات معدلة مع 1304 إضافات و0 حذوفات

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LICENSE Normal file
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MIT License
Copyright (c) 2026 Bilal-Alasha
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

1233
main.ipynb Normal file

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# Plant Leaf Disease Classification and confedence Estimation using Neural Networks with Fuzzy Logic
The Model was trained and reported by Bilal Al Asha and the fuzzy logic code and report was done by mahdi alwis
## Prerequisites
- **Python** Version **3.11.9** or later **3.12.10**
- **pip** Python package installer
## Setup Instructions
### 1. Download the Dataset
Download the dataset from the following link:
[`https://www.kaggle.com/datasets/emmarex/plantdisease`]
### 2. Remove Existing Dataset Files
> **Important:** Before proceeding, **delete any file with the same name as the dataset** inside the main dataset folder when you get it.
> Failure to do so will cause the model to **memorize** the data during training, leading to incorrect results.
### 3. Create and Activate a Virtual Environment
Open a terminal in the project root directory and run:
```bash
python -m venv venv
```
Activate the environment:a
OS Command
Windows venv\Scripts\activate
Linux source venv/bin/activate
macOS source venv/bin/activate
Install Dependencies
```bash
pip install -r requirements.txt
```
Configure Jupyter Kernel (if using Jupyter Notebook)
f you plan to use Jupyter Notebook, make sure to select the newly created virtual environment as the kernel:
Open Jupyter Notebook
Go to Kernel → Change kernel
Select the kernel named after your virtual environment (e.g., venv)

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