Estimating the Composition of Food Nutrients from Hyperspectral Signals Based on Deep Neural Networks

There is an increasing demand for acquiring details of food nutrients especially among those who are sensitive to food intakes and weight changes. To meet this need, we propose a new approach based on deep learning that precisely estimates the composition of carbohydrates, proteins, and fats from hy...

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Detalles Bibliográficos
Autores principales: Ahn, DaeHan, Choi, Ji-Young, Kim, Hee-Chul, Cho, Jeong-Seok, Moon, Kwang-Deog, Park, Taejoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480044/
https://www.ncbi.nlm.nih.gov/pubmed/30935139
http://dx.doi.org/10.3390/s19071560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480044/
https://www.ncbi.nlm.nih.gov/pubmed/30935139
http://dx.doi.org/10.3390/s19071560

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