Automated quantification of defective maize kernels by means of Multivariate Image Analysis-Reference-Cited by-同舟云学术

Automated quantification of defective maize kernels by means of Multivariate Image Analysis

Published:2018-03 Issue: Volume:85 Page:259-268
ISSN:0956-7135
Container-title:Food Control
language:en
Short-container-title:Food Control

Author:

Orlandi Giorgia,Calvini Rosalba,Foca Giorgia,Ulrici Alessandro

Funder

Freeray S.r.l

Fornasier Tiziano & C. S.a.s

Publisher

Elsevier BV

Subject

Food Science,Biotechnology

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4. Classification of cereal grains using wavelet, morphological, colour, and textural features of non-touching kernel images;Choudhary;Biosystems Engineering,2008

5. Commission Directive 2003/100/EC of 31 October 2003 amending Annex I to Directive 2002/32/EC of the European Parliament and of the Council on undesirable substances in animal feed. Official Journal of the European Union, 285, 33–37.

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