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Assessment of Plant Germination Intensity with the Use of Automated System with Computer Vision Method Cover

Assessment of Plant Germination Intensity with the Use of Automated System with Computer Vision Method

Agricultural Engineering
Volume 21 (2017): Issue 4 (December 2017)
By: Agnieszka Szparaga,  Ewa Czerwińska,  Dariusz Tomkiewicz and  Lesław Wilk  
Open Access
|Dec 2017

Authors

Agnieszka Szparaga

agnieszka.szparaga@tu.koszalin.pl

Department of Agrobiotechnology, Koszalin University of Technology

Ewa Czerwińska

Department of Biomedical Engineering, Koszalin University of Technology

Dariusz Tomkiewicz

Department of Automatization, Mechanics and Construction, Koszalin University of Technology

Lesław Wilk

Department of Automatization, Mechanics and Construction, Koszalin University of Technology
DOI: https://doi.org/10.1515/agriceng-2017-0039 | Journal eISSN: 2449-5999 | Journal ISSN: 2083-1587
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Language: English
Page range: 83 - 91
Submitted on: Mar 1, 2017
Accepted on: Jul 1, 2017
Published on: Dec 21, 2017
Published by: Polish Society of Agricultural Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
computer image analysis,
plant extracts,
seeds,
germination,
cauliflower
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

© 2017 Agnieszka Szparaga, Ewa Czerwińska, Dariusz Tomkiewicz, Lesław Wilk, 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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