Feasibility of non‐destructive evaluation for apple crispness based on portable acoustic signal-Reference-Cited by-同舟云学术

Feasibility of non‐destructive evaluation for apple crispness based on portable acoustic signal

Published:2020-11-08 Issue:5 Volume:56 Page:2375-2383
ISSN:0950-5423
Container-title:International Journal of Food Science & Technology
language:en
Short-container-title:Int. J. Food Sci. Technol.

Author:

Liu Yang¹²^ORCID,Cai Mingjin¹,Zhang Wangyou¹,Feng Wanling³,Sun Xingyuan³,Zhang Yang¹,Zhou Hongli²^ORCID

Affiliation:

1. School of Biology and Food Engineering Changshu Institute of TechnologyJiangsu Province No. 99 Nan San Huan Road (East Lake Campus) Changshu City215500China

2. College of Chemical and Pharmaceutical Engineering Jilin Institute of Chemical Technology No. 45 Chengde Road, Longtan District Jilin132022China

3. College of Biological and Food Engineering Jilin Institute of Chemical Technology No. 45 Chengde Road, Longtan District Jilin132022China

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijfs.14861

Reference45 articles.

1. Prediction of watermelon quality based on vibration spectrum;Abbaszadeh R.;Postharvest Biology and Technology,2013

2. Evaluation of watermelons texture using their vibration responses

3. Nondestructive assessment of watermelon flesh color by laser vibrometry

4. Nondestructive determination of watermelon flesh firmness by frequency response

5. BaiduBaike. Fuji Apple. (2020).https://baike.baidu.com/item/%E7%BA%A2%E5%AF%8C%E5%A3%AB/2720331?fr=aladdin. Accessed 30 March 2020.

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