Machine and Deep Learning in the Evaluation of Selected Qualitative Characteristics of Sweet Potatoes Obtained under Different Convective Drying Conditions

Machine and Deep Learning in the Evaluation of Selected Qualitative Characteristics of Sweet Potatoes Obtained under Different Convective Drying Conditions

This paper discusses the use of various methods to distinguish between slices of sweet potato dried in different conditions. The drying conditions varied in terms of temperature, the values were: 60 °C, 70 °C, 80 °C, and 90 °C. Examination methods included instrumental texture analysis using a textu...

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Bibliographic Details
Main Authors: Krzysztof Przybył, Franciszek Adamski, Jolanta Wawrzyniak, Marzena Gawrysiak-Witulska, Jerzy Stangierski, Dominik Kmiecik
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
artificial neural networks
convolutional neural networks
machine learning
deep learning
sweet potato
convective drying
Online Access:https://www.mdpi.com/2076-3417/12/15/7840

Internet

https://www.mdpi.com/2076-3417/12/15/7840

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