Predicting single kernel and bulk milled rice alkali spreading value and gelatinization temperature class using NIR spectroscopy-Reference-Cited by-同舟云学术

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Predicting single kernel and bulk milled rice alkali spreading value and gelatinization temperature class using NIR spectroscopy

Published:2022-08-02 Issue:6 Volume:99 Page:1234-1245
ISSN:0009-0352
Container-title:Cereal Chemistry
language:en
Short-container-title:Cereal Chem

Author:

Armstrong Paul R.¹^ORCID,Maghirang Elizabeth B.¹,Chen Ming‐Hsuan²^ORCID,McClung Anna M.²,Yaptenco Kevin F.³,Brabec Daniel¹,Wu Tingting⁴

Affiliation:

1. Stored Product Insect and Engineering Research Unit, Center for Grain and Animal Health Research USDA‐ARS Manhattan Kansas USA

2. Dale Bumpers National Rice Research Center USDA‐ARS Stuttgart Arkansas USA

3. College of Engineering and Agro‐Industrial Technology University of the Philippines Los Baños Los Baños Laguna Philippines

4. College of Mechanical and Electronic Engineering Northwest A&F University Yangling China

Publisher

Wiley

Subject

Organic Chemistry,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cche.10587

Reference28 articles.

1. AACC International. (n.d.).Approved methods of analysis(11th ed.). AACC International.

2. Genetic Assessment of a Mini-Core Subset Developed from the USDA Rice Genebank

3. RAPID SINGLE-KERNEL NIR MEASUREMENT OF GRAIN AND OIL-SEED ATTRIBUTES

4. Prediction of Rice Starch Quality Parameters by Near-Infrared Reflectance Spectroscopy

5. Rice Quality by Spectroscopic Analysis: Precision of Three Spectral Regions

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1. Registration of ‘PVL03’ rice;Journal of Plant Registrations;2024-01-18

2. Wheat Grain Classification Using Spectral Imaging. Part 1: Data Concatenation Using Single and Bulk Kernels;2024

3. Near-Infrared spectroscopy combined with machine learning methods for distinguishment of the storage years of rice;Infrared Physics & Technology;2023-09

4. A comparative study of the physical and cooking characteristics of common types of rice collected from the market by quantitative statistical analysis;Korean Journal of Food Preservation;2023-08

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