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

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, Inocybe rimosa, Amanita phalloides, Amanita citrina, Russula delica,...

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Bibliographic Details
Main Authors: Boonlue, S. (Author), Ketwongsa, W. (Author), Kokaew, U. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
AlexNet
convolutional neural network
deep learning
GoogLeNet
mushroom
ResNet-50
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