Classification and Analysis of <em>Agaricus bisporus</em> Diseases with Pre-Trained Deep Learning Models

Classification and Analysis of <em>Agaricus bisporus</em> Diseases with Pre-Trained Deep Learning Models

This research evaluates 20 advanced convolutional neural network (CNN) architectures for classifying mushroom diseases in <i>Agaricus bisporus</i>, utilizing a custom dataset of 3195 images (2464 infected and 731 healthy mushrooms) captured under uniform white-light conditions. The consi...

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Bibliographic Details
Main Authors: Umit Albayrak, Adem Golcuk, Sinan Aktas, Ugur Coruh, Sakir Tasdemir, Omer Kaan Baykan
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
Subjects:
<i>Agaricus bisporus</i>
mushroom diseases
deep learning
image processing
precision agriculture
smart farming
Online Access:https://www.mdpi.com/2073-4395/15/1/226
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