Prediction of Date Fruit Quality Attributes during Cold Storage Based on Their Electrical Properties Using Artificial Neural Networks Models

Evaluating and predicting date fruit quality during cold storage is critical for ensuring a steady supply of high-quality fruits to meet market demands. The traditional destructive methods take time in the laboratory, and the results are based on one specific parameter being tested. Modern modeling...

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Detalles Bibliográficos
Autores principales: Mohammed, Maged, Munir, Muhammad, Aljabr, Aljazi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180397/
https://www.ncbi.nlm.nih.gov/pubmed/35681416
http://dx.doi.org/10.3390/foods11111666

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180397/
https://www.ncbi.nlm.nih.gov/pubmed/35681416
http://dx.doi.org/10.3390/foods11111666

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