基于近红外光谱的苹果可溶性固形物特征波长筛选建模对比分析-Reference-Cited by-同舟云学术

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基于近红外光谱的苹果可溶性固形物特征波长筛选建模对比分析

Published:2023 Issue:17 Volume:60 Page:1730003
ISSN:1006-4125
Container-title:Laser & Optoelectronics Progress
language:en
Short-container-title:激光与光电子学进展

Author:

Zhang Jinfu 张金富,Tang Bin 汤斌,Wang Jianxu 王建旭,Chuan Yanfei 传焱霏,Long Zourong 龙邹荣,Chen Qing 陈庆,Miao Junfeng 缪俊锋,Cai Linfeng 蔡林峰,Zhao Mingfu 赵明富,Zhou Mi 周密

Publisher

Shanghai Institute of Optics and Fine Mechanics

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Reference23 articles.

1. Determination of the most effective wavelengths for prediction of fuji apple starch and total soluble solids properties;S Jarolmasjed;Applied Sciences,2020

2. NIR spectral models for early detection of bitter pit in asymptomatic ‘Fuji’ apples;C Contreras;Scientia Horticulturae,2021

3. 近红外光谱结合竞争性自适应重加权采样算法用于人工牛黄的质量分析研究;石岩;中国药学杂志,2018

4. Analysis of artificial cow-bezoar by near-infrared spectroscopy coupled with competitive adaptive reweighted sampling method;Y Shi;Chinese Pharmaceutical Journal,2018

5. A method combining FTIR-ATR and Raman spectroscopy to determine soil organic matter: improvement of prediction accuracy using competitive adaptive reweighted sampling (CARS);C W Du;Computers and Electronics in Agriculture,2021

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