A Small Sample Recognition Model for Poisonous and Edible Mushrooms based on Graph Convolutional Neural Network

The automatic identification of disease types of edible mushroom crops and poisonous crops is of great significance for improving crop yield and quality. Based on the graph convolutional neural network theory, this paper constructs a graph convolutional network model for the identification of poison...

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Detalles Bibliográficos
Autores principales: Zhu, Li, Pan, Xin, Wang, Xinpeng, Haito, Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391115/
https://www.ncbi.nlm.nih.gov/pubmed/35990124
http://dx.doi.org/10.1155/2022/2276318

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391115/
https://www.ncbi.nlm.nih.gov/pubmed/35990124
http://dx.doi.org/10.1155/2022/2276318

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