Evaluation of Table Grape Flavor Based on Deep Neural Networks-Reference-Cited by-同舟云学术

Evaluation of Table Grape Flavor Based on Deep Neural Networks

Published:2023-05-27 Issue:11 Volume:13 Page:6532
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Liu Zheng¹,Zhang Yu²,Zhang Yicheng¹^ORCID,Guo Lei¹,Wu Chase³^ORCID,Shen Wei¹

Affiliation:

1. School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China

2. Institute of Agricultural Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou 310022, China

3. Department of Data Science, New Jersey Institute of Technology, Newark, NJ 07102, USA

Abstract

With the rapid development of agriculture and the continuous improvement of people’s living standards, an increasing amount of attention has been paid to the quality of fresh produce such as table grapes, which are always in high demand [...]

Funder

Modern Agricultural Industry Technology System Construction Special Funds

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/11/6532/pdf

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3. Characterization of sugars and organic acids in commercial varieties of table grapes;Robledo;Chil. J. Agric. Res.,2011

4. Integrated evaluation of grape quality by the method of gray related degree analysis and analytic hierarchy process;Cehnglin;Southwest China J. Agric. Sci.,2002

5. Quality evaluation of different table grape based on principal component analysis;Pan;Food Mach.,2018

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