Prediction of color and moisture content for vegetable soybean during drying using hyperspectral imaging technology

By Min Huang, Qingguo Wang, Min Zhang, Qibing Zhu. 2014

177 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Animal Science and Zoology, Biochemistry

View Paper: https://www.semanticscholar.org/paper/4d609737bc2488c068eca1311eea4c65aa940991

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Anguo Xie
2. K. Plataniotis

In Animal Science and Zoology

1. Anguo Xie

Citations in the corpus

• Non-Destructive Prediction of Moisture Content and Freezable Water Content of Purple-Fleshed Sweet Potato Slices during Drying Process Using Hyperspectral Imaging Technique (2017, methodology): “Hyperspectral imaging technology has been emerged as a promising novel analytical alternative by integrating the advantages of conventional spectroscopy and digital imaging for obtaining both spectral and spatial information simultaneously (He et al. 2013; Huang et al. 2014).”
• Deep learning and machine vision for food processing: A survey (2021, background): “Soybean Grading PLSR multiple results Huang et al. (2014)”