Abstract : We continue our efforts on modeling of the population dynamics of herbivorous insects in order to develop and implement effective pest control protocols. In the context of inverse problems, we explore the dynamic effects of pesticide treatments on Lygus hesperus, a common pest of cotton in the western United States. Fitting models to field data, we consider model selection for an appropriate mathematical model and corresponding statistical models, and use techniques to compare models. We address the question of whether data, as it is currently collected, can support time-dependent (as opposed to constant) parameter estimates.
Lorena Bociu; Jean-Antoine Désidéri; Abderrahmane Habbal. 27th IFIP Conference on System Modeling and Optimization (CSMO), Jun 2015, Sophia Antipolis, France. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-494, pp.95-106, 2016, System Modeling and Optimization. 〈10.1007/978-3-319-55795-3_8〉
https://hal.inria.fr/hal-01626902
Contributeur : Hal Ifip
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Soumis le : mardi 31 octobre 2017 - 14:40:51
Dernière modification le : dimanche 17 décembre 2017 - 09:32:02
Document(s) archivé(s) le : jeudi 1 février 2018 - 13:21:33
H. Banks, J. Banks, Neha Murad, J. Rosenheim, K. Tillman. Modelling Pesticide Treatment Effects on Lygus hesperus in Cotton Fields. Lorena Bociu; Jean-Antoine Désidéri; Abderrahmane Habbal. 27th IFIP Conference on System Modeling and Optimization (CSMO), Jun 2015, Sophia Antipolis, France. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-494, pp.95-106, 2016, System Modeling and Optimization. 〈10.1007/978-3-319-55795-3_8〉. 〈hal-01626902〉
