https://github.com/taesaksit/whale-optimization-algorithm
This project presents an improvement on WOA for classification of grape leaf disease. The Whale Optimization Algorithm (WOA) was presented by Mirjalili and Levis [8] in 2016
https://github.com/taesaksit/whale-optimization-algorithm
whale-optimization-algorithm
Last synced: about 1 month ago
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This project presents an improvement on WOA for classification of grape leaf disease. The Whale Optimization Algorithm (WOA) was presented by Mirjalili and Levis [8] in 2016
- Host: GitHub
- URL: https://github.com/taesaksit/whale-optimization-algorithm
- Owner: taesaksit
- Created: 2024-07-12T06:14:19.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-09-19T08:26:04.000Z (10 months ago)
- Last Synced: 2026-05-29T18:30:21.649Z (about 1 month ago)
- Topics: whale-optimization-algorithm
- Language: Jupyter Notebook
- Homepage:
- Size: 6.73 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Whale Optimization Algorithm (WOA)
An improved Whale Optimization Algorithm for grape leaf disease classification.
## Overview
This project presents an enhanced version of the Whale Optimization Algorithm (WOA) for classifying grape leaf diseases. WOA, introduced by Mirjalili and Lewis in 2016, is a nature-inspired optimization algorithm that simulates the bubble-net hunting strategy of humpback whales. This repository demonstrates its application in plant disease detection, optimizing classification accuracy through iterative evaluation.
## Demo
The project visualizes the performance of each whale during optimization:

A web application showcasing the classification results is available here: [Leaf Classify Web](https://github.com/taesaksit/leaf-classify-web)