A Self-Supervised Anomaly Detector of Fruits Based on Hyperspectral Imaging

Hyperspectral imaging combined with chemometric approaches is proven to be a powerful tool for the quality evaluation and control of fruits. In fruit defect-detection scenarios, developing an unsupervised anomaly detection framework is vital, as defect sample preparation is labor-intensive and time-...

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Detalles Bibliográficos
Autores principales: Liu, Yisen, Zhou, Songbin, Wan, Zhiyong, Qiu, Zefan, Zhao, Lulu, Pang, Kunkun, Li, Chang, Yin, Zexuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378827/
https://www.ncbi.nlm.nih.gov/pubmed/37509761
http://dx.doi.org/10.3390/foods12142669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378827/
https://www.ncbi.nlm.nih.gov/pubmed/37509761
http://dx.doi.org/10.3390/foods12142669

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