Abstract

Near infrared (NIR) spectroscopy was used in the quality assessment of tomato. The experimental results demonstrated that acceptable prediction of quality index, including total soluble solid, titratable acidity and colour (-a/b value) could be achieved. The advantages of using NIR spectroscopy include rapid analysis, simplified sample preparation, non-destructive measurement and lack of chemical pollution. This has suggested that NIR spectroscopy can serve as a useful tool for mass screening in breeding programmes and also for quality control in the processing industry.

© 1998 NIR Publications

Nondestructive determination of SSC in an apple by using a portable near-infrared spectroscopy system

Yizhe Zhang, Jipeng Huang, Qiulei Zhang, Jinwei Liu, Yanli Meng, and Yan Yu
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Combination of near-infrared spectroscopy with Wasserstein generative adversarial networks for rapidly detecting raw material quality for formula products

Xiaowei Xin, Junhua Jia, Shunpeng Pang, Ruotong Hu, Huili Gong, Xiaoyan Gao, and Xiangqian Ding
Opt. Express 32(4) 5529-5549 (2024)

Signal quality index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality

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Biomed. Opt. Express 11(11) 6732-6754 (2020)

Rapid determination of the main components of corn based on near-infrared spectroscopy and a BiPLS-PCA-ELM model

Lili Xu, Jinming Liu, Chunqi Wang, Zhijiang Li, and Dongjie Zhang
Appl. Opt. 62(11) 2756-2765 (2023)

Wood quality of Chinese zither panel based on convolutional neural network and near-infrared spectroscopy

Yinglai Huang, Shiyu Meng, Peng Zhao, and Chao Li
Appl. Opt. 58(18) 5122-5127 (2019)