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The Application of Computer Image Analysis Based on Textural Features for the Identification of Barley Kernels Infected with Fungi of the Genus Fusarium Cover

The Application of Computer Image Analysis Based on Textural Features for the Identification of Barley Kernels Infected with Fungi of the Genus Fusarium

Agricultural Engineering
Volume 22 (2018): Issue 3 (September 2018)
By: Ewa Ropelewska  
Open Access
|Oct 2018

Authors

Ewa Ropelewska

ewa.ropelewska@uwm.edu.pl

Department of Systems Engineering, Faculty of Engineering, University of Warmia and Mazury in Olsztyn, Poland
DOI: https://doi.org/10.1515/agriceng-2018-0026 | Journal eISSN: 2449-5999 | Journal ISSN: 2083-1587
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Language: English
Page range: 49 - 56
Submitted on: Jun 1, 2018
|
Accepted on: Aug 1, 2018
|
Published on: Oct 16, 2018
Published by: Polish Society of Agricultural Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
barley kernels,
fungal infection,
textures,
discriminative classifiers
Related subjects:
Business and economics,
Business management,
Industries,
Transportation, logistics, air traffic, shipping,
Engineering,
Mechanical engineering,
Production technology,
Materials sciences,
Biomaterials and natural materials,
Materials for energy

© 2018 Ewa Ropelewska, published by Polish Society of Agricultural Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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