Statistical modelling and deconvolution of yield meter data

Frede Aakmann Tøgersen; Rasmus Plenge Waagepetersen

doi:10.1111/j.1467-9469.2004.02-024.x

Statistical modelling and deconvolution of yield meter data

Frede Aakmann Tøgersen, Rasmus Plenge Waagepetersen

Institut for Matematiske Fag

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

2 Citationer (Scopus)

Abstract

Udgivelsesdato: JUN

Originalsprog	Engelsk
Tidsskrift	Scandinavian Journal of Statistics
Vol/bind	31
Udgave nummer	2
Sider (fra-til)	247-264
ISSN	0303-6898
DOI	https://doi.org/10.1111/j.1467-9469.2004.02-024.x
Status	Udgivet - 2004

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10.1111/j.1467-9469.2004.02-024.x

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@article{6161e8b0271311db8514000ea68e967b,

title = "Statistical modelling and deconvolution of yield meter data",

abstract = "This paper considers the problem of mapping spatial variation of yield in a field using data from a yield monitoring system on a combine harvester. The unobserved yield is assumed to be a Gaussian random field and the yield monitoring system data is modelled as a convolution of the yield and an impulse response function. This results in an unusual spatial covariance structure (depending on the driving pattern of the combine harverster) for the yield monitoring system data. Parameters of the impulse response function and the spatial covariance function of the yield are estimated using maximum likelihood methods. The fitted model is assessed using certain empirical directional covariograms and the yield is finally predicted using the inferred statistical model.",

keywords = "Gaussian random field, spatial statistics, deconvolution",

author = "T{\o}gersen, {Frede Aakmann} and Waagepetersen, {Rasmus Plenge}",

year = "2004",

doi = "10.1111/j.1467-9469.2004.02-024.x",

language = "English",

volume = "31",

pages = "247--264",

journal = "Scandinavian Journal of Statistics",

issn = "0303-6898",

publisher = "Wiley-Blackwell",

number = "2",

}

TY - JOUR

T1 - Statistical modelling and deconvolution of yield meter data

AU - Tøgersen, Frede Aakmann

AU - Waagepetersen, Rasmus Plenge

PY - 2004

Y1 - 2004

N2 - This paper considers the problem of mapping spatial variation of yield in a field using data from a yield monitoring system on a combine harvester. The unobserved yield is assumed to be a Gaussian random field and the yield monitoring system data is modelled as a convolution of the yield and an impulse response function. This results in an unusual spatial covariance structure (depending on the driving pattern of the combine harverster) for the yield monitoring system data. Parameters of the impulse response function and the spatial covariance function of the yield are estimated using maximum likelihood methods. The fitted model is assessed using certain empirical directional covariograms and the yield is finally predicted using the inferred statistical model.

AB - This paper considers the problem of mapping spatial variation of yield in a field using data from a yield monitoring system on a combine harvester. The unobserved yield is assumed to be a Gaussian random field and the yield monitoring system data is modelled as a convolution of the yield and an impulse response function. This results in an unusual spatial covariance structure (depending on the driving pattern of the combine harverster) for the yield monitoring system data. Parameters of the impulse response function and the spatial covariance function of the yield are estimated using maximum likelihood methods. The fitted model is assessed using certain empirical directional covariograms and the yield is finally predicted using the inferred statistical model.

KW - Gaussian random field

KW - spatial statistics

KW - deconvolution

U2 - 10.1111/j.1467-9469.2004.02-024.x

DO - 10.1111/j.1467-9469.2004.02-024.x

M3 - Journal article

SN - 0303-6898

VL - 31

SP - 247

EP - 264

JO - Scandinavian Journal of Statistics

JF - Scandinavian Journal of Statistics

IS - 2

ER -

Statistical modelling and deconvolution of yield meter data

Abstract

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