Fusion of hyperspectral imaging (HSI) and RGB for identification of soybean kernel damages using ShuffleNet with convolutional optimization and cross stage partial architecture

Identification of soybean kernel damages is significant to prevent further disoperation. Hyperspectral imaging (HSI) has shown great potential in cereal kernel identification, but its low spatial resolution leads to external feature infidelity and limits the analysis accuracy. In this study, the fus...

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Detalles Bibliográficos
Autores principales: Zheng, Ling, Zhao, Mingyue, Zhu, Jinchen, Huang, Linsheng, Zhao, Jinling, Liang, Dong, Zhang, Dongyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889993/
https://www.ncbi.nlm.nih.gov/pubmed/36743540
http://dx.doi.org/10.3389/fpls.2022.1098864

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889993/
https://www.ncbi.nlm.nih.gov/pubmed/36743540
http://dx.doi.org/10.3389/fpls.2022.1098864

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