Performance evaluation of a model for the classification of contaminants from wheat using near-infrared hyperspectral imaging-Reference-Cited by-同舟云学术

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Performance evaluation of a model for the classification of contaminants from wheat using near-infrared hyperspectral imaging

Published:2016-07 Issue: Volume:147 Page:248-258
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Ravikanth Lankapalli,Singh Chandra B.,Jayas Digvir S.,White Noel D.G.

Funder

University of Manitoba Graduate Fellowship

Graduate Enhancement of Tri-Council Stipends program

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference40 articles.

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2. Diet, nutrition and the prevention of chronic diseases;Anonymous,2003

3. ASAE S352.2: Moisture measurement-unground grain and seeds;ASABE,2012

4. Major cereal grains production and use around the world;Awika,2011

5. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra;Barnes;Applied Spectroscopy,1989

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