System Identification in Production Ecology: from theory to agroforestry practice

K.J. Keesman, A. Graves, W. van der Werf, P. Burgess

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

This paper introduces a system identification approach to agricultural ecosystems. In particular, the identification of an agroforestry system, combining trees with crops, is subject of study. Typically, for these systems N <p, where N is the number of data points and p the number of parameters in a (processbased) model. In this paper, we follow a constrained optimization approach, in which the constraints are found from literature or are given by experts. Given the limited a priori systems knowledge and very limited data sets, after decomposition of the parameter estimation problem and after model adaptation, we were able to produce an acceptable fit to validation data from a real-world agroforestry experiment
Original languageEnglish
Title of host publicationPreprints of the 15th IFAC Symposium on System Identification, Saint-Malo, France, July 6-8, 2009
Pages1016-1021
Publication statusPublished - 2009
Event15th IFAC Symposium on System Identification -
Duration: 6 Jul 20098 Jul 2009

Conference

Conference15th IFAC Symposium on System Identification
Period6/07/098/07/09

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    Keesman, K. J., Graves, A., van der Werf, W., & Burgess, P. (2009). System Identification in Production Ecology: from theory to agroforestry practice. In Preprints of the 15th IFAC Symposium on System Identification, Saint-Malo, France, July 6-8, 2009 (pp. 1016-1021) https://edepot.wur.nl/9295