Nondestructive determination of common indicators of beef for freshness assessment using airflow-three dimensional (3D) machine vision technique and machine learning-Reference-Cited by-同舟云学术

Nondestructive determination of common indicators of beef for freshness assessment using airflow-three dimensional (3D) machine vision technique and machine learning

Published:2023-03 Issue: Volume:340 Page:111305
ISSN:0260-8774
Container-title:Journal of Food Engineering
language:en
Short-container-title:Journal of Food Engineering

Author:

Luo Xiuzhi,Sun Qinming,Yang Tianxi^ORCID,He Ke,Tang Xiuying^ORCID

Publisher

Elsevier BV

Subject

Food Science

Reference39 articles.

1. Nearest neighbor pattern classification;Cover;IEEE Trans. Inf. Theor.,1967

2. Partial least squares;Chiang,2001

3. Freshness evaluation of three kinds of meats based on the electronic nose;Chen;Sensors,2019

4. Support vector regression machines;Drucker,1997

5. Learning RoI transformer for oriented object detection in aerial images;Ding,2019

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