Rapid and nondestructive detection of freshness quality of postharvest spinaches based on machine vision and electronic nose-Reference-Cited by-同舟云学术

Rapid and nondestructive detection of freshness quality of postharvest spinaches based on machine vision and electronic nose

Published:2019-10-07 Issue:6 Volume:39 Page:
ISSN:0149-6085
Container-title:Journal of Food Safety
language:en
Short-container-title:J Food Saf

Author:

Huang Xingyi¹,Yu Shanshan¹^ORCID,Xu Haixia²,Aheto Joshua H.¹,Bonah Ernest¹,Ma Mei¹,Wu Mengzi¹,Zhang Xiaorui¹

Affiliation:

1. School of Food and Biological EngineeringJiangsu University Zhenjiang Jiangsu China

2. College of Biosystems Engineering and Food ScienceZhejiang University Hangzhou China

Funder

National Key Research and Development Program of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Wiley

Subject

Microbiology,Food Science,Parasitology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfs.12708

Reference42 articles.

1. Discrimination and classification of fresh-cut starfruits (Averrhoa carambola L.) using automated machine vision system

2. Microbial and quality changes in minimally processed baby spinach leaves stored under super atmospheric oxygen and modified atmosphere conditions

3. Machine vision system for grading of dried figs

4. Mineral element composition of spinach

5. Electronic nose classification and differentiation of bacterial food borne pathogens based on support vector machine optimized with particle swarm optimization algorithm;Bonah E.;Journal of Food Process Engineering,2019

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