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

Keywords

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

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