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Statements

Subject Item
n2:RIV%2F62156489%3A43210%2F13%3A00213653%21RIV14-MZE-43210___
rdf:type
n15:Vysledek skos:Concept
dcterms:description
The aim of this study was to estimate the coverage of soil surface by selected catch crops using methods of image analysis and evaluate the relationship between the coverage and biomass. A small-plot field experiment was conducted in the South Moravian region of the Czech Republic with ten different stubble crop species and cultivars (totally 14 variants with 4 replications). The crop stands were photographed by hand every year in late autumn during the 2008 - 2012 period using digital single-lens reflex camera Nikon D80 to get three nadir images in visible spectrum per plot. A maximum likelihood classification was used to classify the pixel values into two classes (soil, vegetation) based on the separately signature file for every year. The coverage of catch crops was then calculated as a percentage of pixels count in determined class and compared with the aboveground biomass (fresh and dry matter). The ANOVA analysis showed significant differences of biomass and coverage among the crop species for evaluated period. Both these parameters were strongly influenced by year, respectively by its weather condition during the growth period. The comparison between biomass and coverage using regression analysis reached high significant positive correlation. The method of image analysis showed the possibility of using the visible images for assessment of crop biomass. The aim of this study was to estimate the coverage of soil surface by selected catch crops using methods of image analysis and evaluate the relationship between the coverage and biomass. A small-plot field experiment was conducted in the South Moravian region of the Czech Republic with ten different stubble crop species and cultivars (totally 14 variants with 4 replications). The crop stands were photographed by hand every year in late autumn during the 2008 - 2012 period using digital single-lens reflex camera Nikon D80 to get three nadir images in visible spectrum per plot. A maximum likelihood classification was used to classify the pixel values into two classes (soil, vegetation) based on the separately signature file for every year. The coverage of catch crops was then calculated as a percentage of pixels count in determined class and compared with the aboveground biomass (fresh and dry matter). The ANOVA analysis showed significant differences of biomass and coverage among the crop species for evaluated period. Both these parameters were strongly influenced by year, respectively by its weather condition during the growth period. The comparison between biomass and coverage using regression analysis reached high significant positive correlation. The method of image analysis showed the possibility of using the visible images for assessment of crop biomass.
dcterms:title
Estimation of coverage of soil by the catch crops using ground-truth imaging in visible spectrum. Estimation of coverage of soil by the catch crops using ground-truth imaging in visible spectrum.
skos:prefLabel
Estimation of coverage of soil by the catch crops using ground-truth imaging in visible spectrum. Estimation of coverage of soil by the catch crops using ground-truth imaging in visible spectrum.
skos:notation
RIV/62156489:43210/13:00213653!RIV14-MZE-43210___
n15:predkladatel
n16:orjk%3A43210
n3:aktivita
n13:P
n3:aktivity
P(QI111A133), P(QJ1210008)
n3:cisloPeriodika
Supplement
n3:dodaniDat
n7:2014
n3:domaciTvurceVysledku
n4:8257388 n4:4854446 n4:1352482 n4:4013433 n4:4665651
n3:druhVysledku
n14:J
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
73266
n3:idVysledku
RIV/62156489:43210/13:00213653
n3:jazykVysledku
n10:eng
n3:klicovaSlova
image classification; catch crops; soil coverage; digital images; above-ground biomass
n3:klicoveSlovo
n9:soil%20coverage n9:image%20classification n9:above-ground%20biomass n9:digital%20images n9:catch%20crops
n3:kodStatuVydavatele
HU - Maďarsko
n3:kontrolniKodProRIV
[3CA74D03D769]
n3:nazevZdroje
Novenytermeles
n3:obor
n18:GD
n3:pocetDomacichTvurcuVysledku
5
n3:pocetTvurcuVysledku
5
n3:projekt
n11:QJ1210008 n11:QI111A133
n3:rokUplatneniVysledku
n7:2013
n3:svazekPeriodika
62
n3:tvurceVysledku
Lukas, Vojtěch Dryšlová, Tamara Neudert, Lubomír Smutný, Vladimír Procházková, Blanka
s:issn
0546-8191
s:numberOfPages
4
n19:organizacniJednotka
43210