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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2015-12-01
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| Series: | Agricultura |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/agricultura.2015.12.issue-1-2/agricultura-2016-0003/agricultura-2016-0003.xml?format=INT |