Non-destructive prediction of soluble solid contents in Fuji apples using visible near-infrared spectroscopy and various statistical methods-Reference-Cited by-同舟云学术

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Non-destructive prediction of soluble solid contents in Fuji apples using visible near-infrared spectroscopy and various statistical methods

Published:2022-05 Issue: Volume:321 Page:110945
ISSN:0260-8774
Container-title:Journal of Food Engineering
language:en
Short-container-title:Journal of Food Engineering

Author:

Lee Ahyeong^ORCID,Shim Jaeseung,Kim Balgeum,Lee Hoyoung,Lim Jongguk^ORCID

Funder

Rural Development Administration

Publisher

Elsevier BV

Subject

Food Science

Reference49 articles.

1. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research;Agatonovic–Kustrin;J. Pharmaceut. Biomed. Anal.,2000

2. Non–destructive prediction of internal and external quality attributes of fruit with thick rind: a review;Arendse;J. Food Eng.,2018

3. Near–infrared spectroscopy: principles;Chung;Anal. Sci. Technol.,2000

4. Automated online detection of granulation in oranges using X–ray radiographs;Dael;Acta Hortic.,2016

5. Support vector regression machines;Drucker,1997

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