Classification of Tea Leaves Based on Fluorescence Imaging and Convolutional Neural Networks

The development of the smartphone and computer vision technique provides customers with a convenient approach to identify tea species, as well as qualities. However, the prediction model may not behave robustly due to changes in illumination conditions. Fluorescence imaging can induce the fluorescen...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Kaihua, Chen, Bojian, Li, Zejian, Chen, Dongmei, Liu, Guangyu, Lin, Hongze, Zhang, Baihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609479/
https://www.ncbi.nlm.nih.gov/pubmed/36298114
http://dx.doi.org/10.3390/s22207764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609479/
https://www.ncbi.nlm.nih.gov/pubmed/36298114
http://dx.doi.org/10.3390/s22207764

Ejemplares similares