This corrects the article "Non-destructive quality prediction of domestic, commercial red pepper powder using hyperspectral imaging" ( Vol: 30, Issue: 2, Page: 224)
Erratum

Erratum to: Non-destructive quality prediction of domestic, commercial red pepper powder using hyperspectral imaging

Sang Seop Kim1https://orcid.org/0000-0001-5653-7788, Ji-Young Choi2https://orcid.org/0000-0002-7854-9277, Jeong Ho Lim1https://orcid.org/0000-0002-4806-2046, Jeong-Seok Cho1,*https://orcid.org/0000-0002-9513-4014
Author Information & Copyright
1Food Safety and Distribution Research Group, Korea Food Research Institute, Wanju 55365, Korea
2Practical Technology Research Group, World Institute of Kimchi, Gwangju 61755, Korea
*Corresponding author Jeong-Seok Cho, Tel: +82-63-219-9140, E-mail: jscho@kfri.re.kr

Citation: Kim SS, Choi JY, Lim JH, Cho JS. Erratum to: Non-destructive quality prediction of domestic, commercial red pepper powder using hyperspectral imaging. Korean J Food Preserv, 30(3), 546 (2023)

Copyright © The Korean Society of Food Preservation. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Published Online: Jun 30, 2023


한국식품저장유통학회지 30권 2호(2023년 4월 30일 발행), p 224-234에 게재된 Sang Seop Kim, Ji-Young Choi, Jeong Ho Lim, Jeong-Seok Cho 저자의 “Non-destructive quality prediction of domestic, commercial red pepper powder using hyperspectral imaging” 논문을 정정합니다. 감사의 글이 누락되어 아래와 같이 정정하며, 독자들께 오류로 인해 혼란을 드린 점 사과드립니다.

Acknowledgements

This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) through High Value-added Food Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (321049-5).

ORCID

References

1.

Kim SS, Choi JY, Lim JH, Cho JS. Non-destructive quality prediction of domestic, commercial red pepper powder using hyperspectral imaging. Korean J Food Preserv, 30, 224-234 (2023)

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