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Application of a genetic algorithm for crop model steering using NOAA-AVHRR data

The main objective of this study was to investigate whether AVHRR data could be useful for crop model simulation steering by intrinsically taking the mixed pixel effects into account. The second objective was to determine if the application of a genetic algorithm could be an effective technique for crop model steering. The principles were tested for the Seville test site using synthetic data and AVHRR data from 1995 and 1996 because these years show a large contrast in crop development. The main conclusions are that a genetic algorithm is a very powerfull technique for crop model optimisation, but adaptations are needed to the current optimisation scheme in order to be able to steer the WOFOST crop model on the basis of NOAA-AVHRR data.