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System-analytical tools such as crop growth models, geographical information system (GIS) and remote sensing are increasingly being explored for their use in crop monitoring and yield forecasting. The key to the optimum use of these techniques lies in their mutual combination, and in their combination with other sources of information. This paper first describes the Crop Growth Monitoring System (CGMS), developed for the Joint Research Centre of the European Union for seasonal crop status monitoring and yield forecasting. The core of CGMS consists of a GIS, a set of data bases (weather, crop, soil) and a systems-analysis component: a weather module, the WOFOST crop growth simulator and a statistics module. CGMS has been operational at JRC since 1994 and the outputs are used in the preparation of its monthly crop bulletins. Second, options are discussed for the improvement of crop growth simulation by the use of optical, thermal infrared and radar remote sensing. Methods are presented by which crop parameters estimated from remote sensing can be used to adjust model simulations.

Additional information

Authors: BOUMAN B A M, DLO-Research Institute for Agrobiology and Soil Fertility (NL);VAN DIEPEN C A, DLO-Research Institute for Agrobiology and Soil Fertility (NL);VOSSEN P, DLO-Winard Staring Centre, Wageningen (NL);VAN DER WAL T, JRC Ispra (IT)
Bibliographic Reference: Paper presented : Second International Symposium on System Approaches for Agricultural Development, Los Banos (PH), December 6-8, 1995
Availability: Available from (1) as Paper EN 39932 ORA
Record Number: 199610962 / Last updated on: 1996-09-30
Original language: en
Available languages: en
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