Towards accurate inference of insect presence landscapes from pheromone sensor networks

A recommendation of: Thibault Malou, Nicolas Parisey, Katarzyna Adamczyk-Chauvat, Elisabeta Vergu, Béatrice Laroche, Paul-Andre Calatayud, Philippe Lucas, Simon Labarthe Biology-Informed inverse problems for insect pests detection using pheromone sensors https://hal.inrae.fr/hal-04572831v2

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Publication Details

Journal
Peer Community In Mathematical and Computational Biology
Published
2025-01-27
DOI
https://doi.org/10.24072/pci.mcb.100313
Citations
1
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.67
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article

Towards accurate inference of insect presence landscapes from pheromone sensor networks

Éric Tannier
1 citations
Peer Community In Mathematical and Computational Biology
Advanced Chemical Sensor Technologies
0.67
article

Towards accurate inference of insect presence landscapes from pheromone sensor networks

Éric Tannier
article en
1 citations

Abstract

A recommendation of: Thibault Malou, Nicolas Parisey, Katarzyna Adamczyk-Chauvat, Elisabeta Vergu, Béatrice Laroche, Paul-Andre Calatayud, Philippe Lucas, Simon Labarthe Biology-Informed inverse problems for insect pests detection using pheromone sensors https://hal.inrae.fr/hal-04572831v2

Peer Community In Mathematical and Computational Biology
Institut national de recherche en sciences et technologies du numérique (FR)
Openalex Percentile: Top 35%
Advanced Chemical Sensor Technologies
0.67
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Towards accurate inference of insect presence landscapes from pheromone sensor networks — Éric Tannier · Peer Community In Mathematical and Computational Biology (2025) | TGRS Research Map | TGRS