Snack Texture Estimation System Using a Simple Equipment and Neural Network Model

Snack Texture Estimation System Using a Simple Equipment and Neural Network Model

Texture evaluation is manually performed in general, and such analytical tasks can get cumbersome. In this regard, a neural network model is employed in this study. This paper describes a system that can estimate the food texture of snacks. The system comprises a simple equipment unit and an artific...

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Bibliographic Details
Main Authors: Shigeru Kato, Naoki Wada, Ryuji Ito, Takaya Shiozaki, Yudai Nishiyama, Tomomichi Kagawa
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Future Internet
Subjects:
food texture
neural network
human sensibility
artificial intelligence
CNN
Online Access:http://www.mdpi.com/1999-5903/11/3/68

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http://www.mdpi.com/1999-5903/11/3/68

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