Combination Ensemble and Explainable Deep Learning Framework for High-Accuracy Classification of Wild Edible Macrofungi

Accurate identification of wild edible macrofungi is essential for biodiversity conservation, food safety, and ecological sustainability, yet remains challenging due to the morphological similarity between edible and toxic species. In this study, a curated dataset of 24 wild edible macrofungi specie...

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Hlavní autoři:	Aras Fahrettin Korkmaz, Fatih Ekinci, Eda Kumru, Şehmus Altaş, Seyit Kaan Güneş, Ahmet Tunahan Yalçın, Mehmet Serdar Güzel, Ilgaz Akata
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-11-01
Edice:	Biology
Témata:	edible mushroom deep learning ensemble models explainable AI species classification
On-line přístup:	https://www.mdpi.com/2079-7737/14/12/1644
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