A New Deep Learning Model for the Classification of Poisonous and Edible Mushrooms Based on Improved AlexNet Convolutional Neural Network

The difficulty involved in distinguishing between edible and poisonous mushrooms stems from their similar appearances. In this study, we attempted to classify five common species of poisonous and edible mushrooms found in Thailand, <i>Inocybe rimosa</i>, <i>Amanita phalloides</i>, <i>Amanita citrina...

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Bibliografische Detailangaben

Hauptverfasser:	Wacharaphol Ketwongsa, Sophon Boonlue, Urachart Kokaew
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-03-01
Schriftenreihe:	Applied Sciences
Schlagworte:	AlexNet convolutional neural network deep learning GoogLeNet mushroom ResNet-50
Online-Zugang:	https://www.mdpi.com/2076-3417/12/7/3409
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