Estimation of coverage of soil by the catch crops using ground-truth imaging in visible spectrum.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F13%3A00213653" target="_blank" >RIV/62156489:43210/13:00213653 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of coverage of soil by the catch crops using ground-truth imaging in visible spectrum.

Popis výsledku v původním jazyce

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 cr

Název v anglickém jazyce

Estimation of coverage of soil by the catch crops using ground-truth imaging in visible spectrum.

Popis výsledku anglicky

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 cr

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GD - Hnojení, závlahy, zpracování půdy

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Novenytermeles

ISSN

0546-8191

e-ISSN

—

Svazek periodika

62

Číslo periodika v rámci svazku

Supplement

Stát vydavatele periodika

HU - Maďarsko

Počet stran výsledku

4

Strana od-do

425-428

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—