Discriminating Oat and Groat Kernels from Other Grains Using Near-Infrared Spectroscopy-Reference-Cited by-同舟云学术

Discriminating Oat and Groat Kernels from Other Grains Using Near-Infrared Spectroscopy

Published:2017-05 Issue:3 Volume:94 Page:458-463
ISSN:0009-0352
Container-title:Cereal Chemistry Journal
language:en
Short-container-title:Cereal Chemistry Journal

Author:

Armstrong Paul R.¹,Dell’Endice Francesco²,Maghirang Elizabeth B.¹,Rupenyan Alisa²

Affiliation:

1. U.S. Department of Agriculture–Agricultural Research Service, Center for Grain and Animal Health Research, Stored Product Insect and Engineering Research Unit, 1515 College Avenue, Manhattan, KS 66502, U.S.A.

2. QualySense AG, Glattbrugg, Switzerland.

Publisher

Wiley

Subject

Organic Chemistry,Food Science

Link

http://aaccipublications.aaccnet.org/doi/pdf/10.1094/CCHEM-06-16-0162-R

Reference22 articles.

1. Adjemout, O., Hammouche, K., and Diaf, M. 2007. Automatic seeds recognition by size, form and texture features. Pages 1-4 in: Proceedings of the 9th International Symposium on Signal Processing and Its Applications, Sharjah, United Arab Emirates. 10.1109/ISSPA.2007.4555428

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

3. Classification of cereal grains using wavelet, morphological, colour, and textural features of non-touching kernel images

4. An Automated Near-Infrared System for Selecting Individual Kernels Based on Specific Quality Characteristics

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