MALOU, Thibault; LABARTHE, Simon

doi:10.1126/science.1183899

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Licencia de uso del documento

MALOU, Thibault
Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] [MaIAGE]

LABARTHE, Simon
Biodiversité, Gènes & Communautés [BioGeCo]
Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] [MaIAGE]

Idioma

Document de travail - Pré-publication

Este ítem está publicado en

2010-02-12

Resumen en inglés

Insect pests are a major threat for agricultural systems, leading to an intensive use of pesticide for crop protection with non-sustainable drawbacks on environment, biodiversity and human health. Most of insects produce pheromones for conspecific communication, making pheromone sensors a good tool for early specific detection of pests, in order to reduce pesticide use in a precision agriculture context.`Pheromone-toolbox` is a Python package containing numerical tools for pheromone sensor data assimilation to infer the position of emitting pest insects. It contains specific tools to model pheromone propagation and solve the corresponding inverse problem to determinate emitters position taking into account the environmental context (wind, landscape, vegetation...). A specific focus is put on the integration of biological knowledge of pest behavior during inference.< Leer menos

Palabras clave en inglés

Python

Data Assimilation

Biology-informed inference

Epidemiosurveillance

Pheromone

DOI

http://dx.doi.org/10.1126/science.1183899

Proyecto ANR

Early detection of pest insects using pheromone receptor-based olfactory sensors - ANR-20-PCPA-0007

Orígen

Importado de Hal

Centros de investigación

BioGeCo (Biodiversité Gènes & Communautés) - UMR 1202