Developing on Exact Quality and Classification System for Plant Improvement

dc.creatorBerke,József
dc.creatorPolgar,Zsolt
dc.creatorHorváth,Zoltán
dc.creatorNagy,Tamás
dc.date2006
dc.date.accessioned2024-02-06T12:54:42Z
dc.date.available2024-02-06T12:54:42Z
dc.descriptionOn the field of potato research and breeding, there are several possibilities for the application of modern digital image processing and data collection/analysing techniques. One of the most obvious methods is the multi/hyper spectral analysis. In our experiments research were done in the visible as well as in the infra, near infra and thermal wavelength. For more advanced analysis we developed a multi/hyper-spectral analysis method (spectral fractal dimension measurement and application). In the following we summarize its basic elements and the developed integrated information system of potato research and breeding.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-012-09-1154
dc.identifierhttps://lib.jucs.org/article/28659/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9122
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 12(9): 1154-1164
dc.subjectimage classification
dc.subjectfractal dimension
dc.subjectplant improvement
dc.subjectthermovision
dc.subjectpotato breeding and qualification
dc.titleDeveloping on Exact Quality and Classification System for Plant Improvement
dc.typeResearch Article
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