The CMGS statistical tool for yield forecasting

Research output: Contribution to journalArticleProfessional

Abstract

Official EU forecasts for crop yields are calculated several times per year by crop analysts of the Joint Research Centre (JRC). In general the forecasts for a certain region are based on statistical models which describe historical yields in terms of a time trend combined with a relationship with CGMS indicator data. Since 1994 the so-called CGMS statistical module has been in use at JRC - to facilitate crop yield forecasting at national and sub-national level. Now, an improved version has been developed, for use by the crop analysts of JRC. The tool was developed by two subdivisions of the Wageningen UR: Alterra-CGI and Biometris. Aim was to enable the analysts to construct more elaborate models (regression and scenario models) than they could construct with the previous module and to make it easier to include more indicators, i.e. weather indicator and remote sensing data.
Original languageEnglish
Pages (from-to)19-20
JournalAgro Informatica
Volume22
Issue number2
Publication statusPublished - 2009

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crop yield
crop
remote sensing
weather
research centre
indicator
forecast
trend

Keywords

  • crop yield
  • yield forecasting
  • remote sensing
  • models
  • statistical analysis
  • crop monitoring
  • biostatistics

Cite this

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title = "The CMGS statistical tool for yield forecasting",
abstract = "Official EU forecasts for crop yields are calculated several times per year by crop analysts of the Joint Research Centre (JRC). In general the forecasts for a certain region are based on statistical models which describe historical yields in terms of a time trend combined with a relationship with CGMS indicator data. Since 1994 the so-called CGMS statistical module has been in use at JRC - to facilitate crop yield forecasting at national and sub-national level. Now, an improved version has been developed, for use by the crop analysts of JRC. The tool was developed by two subdivisions of the Wageningen UR: Alterra-CGI and Biometris. Aim was to enable the analysts to construct more elaborate models (regression and scenario models) than they could construct with the previous module and to make it easier to include more indicators, i.e. weather indicator and remote sensing data.",
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year = "2009",
language = "English",
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pages = "19--20",
journal = "Agro Informatica",
issn = "0925-4455",
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}

The CMGS statistical tool for yield forecasting. / Hoek, S.B.; Goedhart, P.W.; Akkermans, L.M.W.

In: Agro Informatica, Vol. 22, No. 2, 2009, p. 19-20.

Research output: Contribution to journalArticleProfessional

TY - JOUR

T1 - The CMGS statistical tool for yield forecasting

AU - Hoek, S.B.

AU - Goedhart, P.W.

AU - Akkermans, L.M.W.

PY - 2009

Y1 - 2009

N2 - Official EU forecasts for crop yields are calculated several times per year by crop analysts of the Joint Research Centre (JRC). In general the forecasts for a certain region are based on statistical models which describe historical yields in terms of a time trend combined with a relationship with CGMS indicator data. Since 1994 the so-called CGMS statistical module has been in use at JRC - to facilitate crop yield forecasting at national and sub-national level. Now, an improved version has been developed, for use by the crop analysts of JRC. The tool was developed by two subdivisions of the Wageningen UR: Alterra-CGI and Biometris. Aim was to enable the analysts to construct more elaborate models (regression and scenario models) than they could construct with the previous module and to make it easier to include more indicators, i.e. weather indicator and remote sensing data.

AB - Official EU forecasts for crop yields are calculated several times per year by crop analysts of the Joint Research Centre (JRC). In general the forecasts for a certain region are based on statistical models which describe historical yields in terms of a time trend combined with a relationship with CGMS indicator data. Since 1994 the so-called CGMS statistical module has been in use at JRC - to facilitate crop yield forecasting at national and sub-national level. Now, an improved version has been developed, for use by the crop analysts of JRC. The tool was developed by two subdivisions of the Wageningen UR: Alterra-CGI and Biometris. Aim was to enable the analysts to construct more elaborate models (regression and scenario models) than they could construct with the previous module and to make it easier to include more indicators, i.e. weather indicator and remote sensing data.

KW - gewasopbrengst

KW - oogstvoorspelling

KW - remote sensing

KW - modellen

KW - statistische analyse

KW - gewasmonitoring

KW - biostatistiek

KW - crop yield

KW - yield forecasting

KW - remote sensing

KW - models

KW - statistical analysis

KW - crop monitoring

KW - biostatistics

M3 - Article

VL - 22

SP - 19

EP - 20

JO - Agro Informatica

JF - Agro Informatica

SN - 0925-4455

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ER -