Development of a classification model for <i>Cynanchum wilfordii</i> and <i>Cynanchum auriculatum</i> using convolutional neural network and local interpretable model-agnostic explanation technology.

Jung, Dae-Hyun; Kim, Ho-Youn; Won, Jae Hee; Park, Soo Hyun

Development of a classification model for Cynanchum wilfordii and Cynanchum auriculatum using convolutional neural network and local interpretable model-agnostic explanation technology.

Jung, Dae-Hyun; Kim, Ho-Youn; Won, Jae Hee; Park, Soo Hyun.

Afiliación

Jung DH; Department of Smart Farm Science, Kyung Hee University, Yongin-si, Republic of Korea.
Kim HY; Smart Farm Research Center, Korea Institute of Science and Technology (KIST), Gangneung-si, Republic of Korea.
Won JH; Division of Bio-Medical Science and Technology, Korea Institute of Science and Technology (KIST) School, University of Science and Technology (UST), Daejeon, Republic of Korea.
Park SH; Quality Certification Center, National Development Institute of Korean Medicine (NIKOM), Daegu, Republic of Korea.

Front Plant Sci ; 14: 1169709, 2023.

Article en En | MEDLINE | ID: mdl-37332731

Palabras clave

Incpetion-ResNet; explainable artificial intelligence; image classification; image classification algorithm; sensory evaluation analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2023 Tipo del documento: Article Pais de publicación: Suiza

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