Development of an artificial neural network as a tool for predicting the chemical attributes of fresh peach fruits

This investigation aimed to develop a method to predict the total soluble solids (TSS), titratable acidity, TSS/titratable acidity, vitamin C, anthocyanin, and total carotenoids contents using surface color values (L*, Hue and chroma), single fruit weight, juice volume, and sphericity percent of fre...

Descripción completa

Detalles Bibliográficos
Autores principales: Abdel-Sattar, Mahmoud, Al-Obeed, Rashid S., Aboukarima, Abdulwahed M., Eshra, Dalia H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323929/
https://www.ncbi.nlm.nih.gov/pubmed/34329308
http://dx.doi.org/10.1371/journal.pone.0251185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323929/
https://www.ncbi.nlm.nih.gov/pubmed/34329308
http://dx.doi.org/10.1371/journal.pone.0251185

Ejemplares similares