2026-06-10 18:21:17 +00:00
2026-06-10 18:21:17 +00:00
2026-06-10 18:21:17 +00:00
2026-06-10 18:21:17 +00:00
2026-06-10 18:21:17 +00:00

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:

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

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)

الوصف
The Model was trained and reported by Bilal Al Asha and the fuzzy logic code and report was done by mahdi alwis
اقرأني MIT 2 MiB
اللغات
Jupyter Notebook 100%