This HTML5 document contains 49 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n16http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F26784246%3A_____%2F11%3A%230000449%21RIV12-MZE-26784246/
n8http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n18http://linked.opendata.cz/resource/domain/vavai/subjekt/
n10http://linked.opendata.cz/ontology/domain/vavai/
n17http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/
rdfshttp://www.w3.org/2000/01/rdf-schema#
skoshttp://www.w3.org/2004/02/skos/core#
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n6http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n19http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n11http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F26784246%3A_____%2F11%3A%230000449%21RIV12-MZE-26784246
rdf:type
n10:Vysledek skos:Concept
rdfs:seeAlso
http://www.ingentaconnect.com/content/ista/sst/2011/00000039/00000003/art00008
dcterms:description
Pisum sativum L., as well as many other grain legumes has high agronomical importance connected to their use in crop rotations. Color, size and shape of seeds are very important in grading system for many crops. A total of 33 morphometric and colorimetric features of seeds of five Czech pea varieties, cultivated in four different Czech localities, were measured by image analysis and used to identify and discriminate the varieties also regarding to their cropping localities. The achieved data were used to develop a statistical classifier based on two sample sets, the training set to teach the classifier and the test sets to validate it, and determine the percentage of varietal identification. The developed image analysis system for pea seeds was able to highlight : 1) differences among varieties, 2) the effect of locality on pea seeds traits, 3) different stability of variety. Pisum sativum L., as well as many other grain legumes has high agronomical importance connected to their use in crop rotations. Color, size and shape of seeds are very important in grading system for many crops. A total of 33 morphometric and colorimetric features of seeds of five Czech pea varieties, cultivated in four different Czech localities, were measured by image analysis and used to identify and discriminate the varieties also regarding to their cropping localities. The achieved data were used to develop a statistical classifier based on two sample sets, the training set to teach the classifier and the test sets to validate it, and determine the percentage of varietal identification. The developed image analysis system for pea seeds was able to highlight : 1) differences among varieties, 2) the effect of locality on pea seeds traits, 3) different stability of variety.
dcterms:title
Morpho-colorimetric traits of Pisum seeds measured by an image analysis system Morpho-colorimetric traits of Pisum seeds measured by an image analysis system
skos:prefLabel
Morpho-colorimetric traits of Pisum seeds measured by an image analysis system Morpho-colorimetric traits of Pisum seeds measured by an image analysis system
skos:notation
RIV/26784246:_____/11:#0000449!RIV12-MZE-26784246
n10:predkladatel
n18:ico%3A26784246
n5:aktivita
n13:Z n13:I
n5:aktivity
I, Z(MSM2678424601)
n5:cisloPeriodika
3
n5:dodaniDat
n11:2012
n5:domaciTvurceVysledku
n8:2404257 n8:1697781 n8:8416745
n5:druhVysledku
n14:J
n5:duvernostUdaju
n12:S
n5:entitaPredkladatele
n16:predkladatel
n5:idSjednocenehoVysledku
213750
n5:idVysledku
RIV/26784246:_____/11:#0000449
n5:jazykVysledku
n19:eng
n5:klicovaSlova
colorimetric measurements; image analysis; linear discriminant analysis; morphometric measurements; Pisum spp.; seeds characterization
n5:klicoveSlovo
n6:linear%20discriminant%20analysis n6:Pisum%20spp. n6:morphometric%20measurements n6:seeds%20characterization n6:image%20analysis n6:colorimetric%20measurements
n5:kodStatuVydavatele
CH - Švýcarská konfederace
n5:kontrolniKodProRIV
[3EDFFC639DC9]
n5:nazevZdroje
Seed Science Technology
n5:obor
n9:EI
n5:pocetDomacichTvurcuVysledku
3
n5:pocetTvurcuVysledku
5
n5:rokUplatneniVysledku
n11:2011
n5:svazekPeriodika
39
n5:tvurceVysledku
Hýbl, Miroslav Venora, Gianfranco Bjelková, Marie Smýkalová, Iva Grillo, Oscar
n5:wos
000297658900008
n5:zamer
n17:MSM2678424601
s:issn
0251-0952
s:numberOfPages
15