Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most Effective Wavelengths Using Hybrid Artificial Neural Network—Imperialist Competitive Algorithm

Non-destructive assessment of the physicochemical properties of food products, especially fruits, makes it possible to examine the internal quality without any damage. This is applicable at different stages of fruit growth, harvesting stage, and storage as well as at the market stage. In this regard...

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Detalles Bibliográficos
Autores principales: Pourdarbani, Razieh, Sabzi, Sajad, Hernández-Hernández, Mario, Hernández-Hernández, José Luis, Gallardo-Bernal, Iván, Herrera-Miranda, Israel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696532/
https://www.ncbi.nlm.nih.gov/pubmed/33198098
http://dx.doi.org/10.3390/plants9111547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7696532/
https://www.ncbi.nlm.nih.gov/pubmed/33198098
http://dx.doi.org/10.3390/plants9111547

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