The accuracy of the germination rate of seeds based on image processing and artificial neural networks

The accuracy of the germination rate of seeds based on image processing and artificial neural networks

This paper describes a computer vision system based on image processing and machine learning techniques which was implemented for automatic assessment of the tomato seed germination rate. The entire system was built using open source applications Image J, Weka and their public Java classes and linke...

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Bibliographic Details
Main Authors: Škrubej Uroš, Rozman Črtomir, Stajnko Denis
Format: Article
Language:English
Published: Sciendo 2015-12-01
Series:Agricultura
Subjects:
image processing
artificial neural networks
seeds
tomato
Online Access:http://www.degruyter.com/view/j/agricultura.2015.12.issue-1-2/agricultura-2016-0003/agricultura-2016-0003.xml?format=INT

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