Development of simplified models for the nondestructive testing of rice with husk starch content using hyperspectral imaging technology
Author:
Affiliation:
1. School of Agricultural Engineering and Food Science
2. Shandong University of Technology
3. Zibo 255000
4. China
5. Key Laboratory of Shandong Provincial Universities for Technologies in Functional Agricultural Products
Abstract
In this study, we aimed to establish the predictive models of the starch content in rice (with husk) using a hyperspectral imaging system (HSI) for a collection of 87 different rice varieties in China.
Publisher
Royal Society of Chemistry (RSC)
Subject
General Engineering,General Chemical Engineering,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2019/AY/C9AY01926J
Reference49 articles.
1. Reducing risks to food security from climate change
2. Food Security: The Challenge of Feeding 9 Billion People
3. Speciation and distribution of arsenic and localization of nutrients in rice grains
4. C. J. Bergman , Rice end-use quality analysis , Rice , Elsevier , 2019 , pp. 273–337
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