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Biology-Informed inverse problems for insect pests detection using pheromone sensors

hal.structure.identifierMathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] [MaIAGE]
dc.contributor.authorMALOU, Thibault
hal.structure.identifierInstitut de Génétique, Environnement et Protection des Plantes [IGEPP]
dc.contributor.authorPARISEY, Nicolas
hal.structure.identifierMathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] [MaIAGE]
dc.contributor.authorADAMCZYK-CHAUVAT, Katarzyna
hal.structure.identifierMathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] [MaIAGE]
dc.contributor.authorVERGU, Elisabeta
hal.structure.identifierMathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] [MaIAGE]
hal.structure.identifierDynamiques de populations multi-échelles pour des systèmes physiologiques / MUltiSCAle population dynamics for physiological systems [MUSCA]
dc.contributor.authorLAROCHE, Béatrice
hal.structure.identifierEvolution, génomes, comportement et écologie [EGCE]
hal.structure.identifierInternational Centre of Insect Physiology and Ecology [ICIPE]
dc.contributor.authorCALATAYUD, Paul-André
hal.structure.identifierInstitut d'écologie et des sciences de l'environnement de Paris [iEES Paris ]
dc.contributor.authorLUCAS, Philippe
hal.structure.identifierPleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
hal.structure.identifierMathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] [MaIAGE]
dc.contributor.authorLABARTHE, Simon
dc.description.abstractEnMost insects have the ability to modify the odor landscape in order to communicate with their conspecies during key phases of their life cycle such as reproduction. They release pheromones in their nearby environment, volatile compounds that are detected by insects of the same species with exceptional specificity and sensitivity. Efficient pheromone detection is then an interesting lever for insect pest management in a precision agroecological culture context. A precise and early detection of pests using pheromone sensors offers a strategy for pest management before infestation.In this paper, we develop a biology-informed inverse problem framework that leverages temporal signals from a pheromone sensor network to build insect presence maps. Prior biological knowledge is introduced in the inverse problem by the mean of a specific penalty, using population dynamics PDE residuals. We benchmark the biological-informed penalty with other regularization terms such as Tikhonov, LASSO or composite penalties in a simplified toy model. We use classical comparison criteria, such as target reconstruction error, or Jaccard distance on pest presence-absence. But we also use more task-specific criteria such as the number of informative sensors during inference. Finally, the inverse problem is solved in a realistic context of pest infestation in an agricultural landscape by the fall armyworm (Spodoptera frugiperda).
dc.description.sponsorshipEarly detection of pest insects using pheromone receptor-based olfactory sensors - ANR-20-PCPA-0007
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enInverse problem
dc.subject.endata assimilation
dc.subject.enbiology-informed estimation
dc.subject.enPDE
dc.subject.enpest detection
dc.subject.enpheromone
dc.title.enBiology-Informed inverse problems for insect pests detection using pheromone sensors
dc.typeDocument de travail - Pré-publication
dc.subject.halMathématiques [math]/Optimisation et contrôle [math.OC]
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
hal.identifierhal-04572831
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04572831v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=MALOU,%20Thibault&PARISEY,%20Nicolas&ADAMCZYK-CHAUVAT,%20Katarzyna&VERGU,%20Elisabeta&LAROCHE,%20B%C3%A9atrice&rft.genre=preprint


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