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Classification and Analysis of Agaricus bisporus Diseases with Pre-Trained Deep Learning Models

Agronomy · Ocak 2025

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YÖKSİS Kayıtları
Classification and Analysis of Agaricus bisporus Diseases with Pre-Trained Deep Learning Models
Agronomy · 2025 SCI-Expanded
DOKTOR ÖĞRETİM ÜYESİ ÜMİT ALBAYRAK →
Classification and Analysis of Agaricus bisporus Diseases with Pre-Trained Deep Learning Models
Agronomy · 2025 SCI-Expanded
PROFESÖR SİNAN AKTAŞ →

Makale Bilgileri

DergiAgronomy
Yayın TarihiOcak 2025
Cilt / Sayfa15
Erişim🔓 Açık Erişim
Özet This research evaluates 20 advanced convolutional neural network (CNN) architectures for classifying mushroom diseases in Agaricus bisporus, utilizing a custom dataset of 3195 images (2464 infected and 731 healthy mushrooms) captured under uniform white-light conditions. The consistent illumination in the dataset enhances the robustness and practical usability of the assessed models. Using a weighted scoring system that incorporates precision, recall, F1-score, area under the ROC curve (AUC), and average precision (AP), ResNet-50 achieved the highest overall score of 99.70%, demonstrating outstanding performance across all disease categories. DenseNet-201 and DarkNet-53 followed closely, confirming their reliability in classification tasks with high recall and precision values. Confusion matrices and ROC curves further validated the classification capabilities of the models. These findings underscore the potential of CNN-based approaches for accurate and efficient early detection of mushroom diseases, contributing to more sustainable and data-driven agricultural practices.

Yazarlar (6)

1
Umit Albayrak
ORCID: 0000-0002-7942-7191
2
Adem Golcuk
ORCID: 0000-0002-6734-5906
3
Sinan Aktaş
4
Ugur Coruh
ORCID: 0000-0003-4193-8401
5
Şakir Taşdemir
6
Omer Kaan Baykan

Anahtar Kelimeler

Agaricus bisporus convolutional neural networks deep learning image processing mushroom diseases precision agriculture smart farming

Kurumlar

Konya Technical University
Konya Turkey
Recep Tayyip Erdogan University
Rize Turkey
Selçuk Üniversitesi
Selçuklu Turkey

Metrikler

1
Atıf
6
Yazar
7
Anahtar Kelime