NIR sensors combined with chemometric algorithms in intelligent quality evaluation of sweetpotato roots from ‘Farm’ to ‘Table’: Progresses, challenges, trends, and prospects-Reference-Cited by-同舟云学术

NIR sensors combined with chemometric algorithms in intelligent quality evaluation of sweetpotato roots from ‘Farm’ to ‘Table’: Progresses, challenges, trends, and prospects

Published:2024-06 Issue: Volume:22 Page:101449
ISSN:2590-1575
Container-title:Food Chemistry: X
language:en
Short-container-title:Food Chemistry: X

Author:

Wang Yuling,Xing Longzhu,He Hong-Ju,Zhang Jie,Chew Kit Wayne,Ou Xingqi

Funder

Henan Institute of Science and Technology

Science and Technology Program of Hunan Province

Department of Science and Technology of Henan Province

Publisher

Elsevier BV

Reference121 articles.

1. Sweetpotato production practices, constraints, and variety evaluation under different storage types;Abrham;Food and Energy Security,2021

2. Prediction of firmness of sweetpotatoes using VNIR hyperspectral imaging and machine learning;Ahmed,2023

3. A comprehensive review of sweet potato (Ipomoea batatas [L.] Lam): Revisiting the associated health benefits;Alam;Trends in Food Science & Technology,2021

4. Multivariate analysis of yield and quality traits in sweet potato genotypes (Ipomoea batatas L.);Alam;Scientia Horticulturae,2024

5. Sweet potato roots: Unrevealing an old food as a source of health promoting bioactive compounds–A review;de Albuquerque;Trends in Food Science & Technology,2019

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