Towards rapidly quantifying and visualizing starch content of sweet potato [Ipomoea batatas (L.) Lam] based on NIR spectral and image data fusion

Towards rapidly quantifying and visualizing starch content of sweet potato [Ipomoea batatas (L.) Lam] based on NIR spectral and image data fusion

This study aimed to achieve the rapid quantification and visualization of the starch content in sweet potato via near-infrared (NIR) spectral and image data fusion. The hyperspectral images of the sweet potato samples containing 900-1700 nm spectral information within every pixel were collected. The...

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Bibliographic Details
Main Authors: He, Hong-Ju, Wang, Yuling, Wang, Yangyang, Al-Maqtari, Qais Ali, Liu, Hongjie, Zhang, Mian, Ou, Xingqi
Other Authors: School of Chemistry, Chemical Engineering and Biotechnology
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Bioengineering
Sweet Potato
Starch
Online Access:https://hdl.handle.net/10356/172146

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