Double vision: 2D and 3D mosquito trajectories can be as valuable for behaviour analysis via machine learning

Double vision: 2D and 3D mosquito trajectories can be as valuable for behaviour analysis via machine learning

Abstract Background Mosquitoes are carriers of tropical diseases, thus demanding a comprehensive understanding of their behaviour to devise effective disease control strategies. In this article we show that machine learning can provide a performance assessment of 2D and 3D machine vision techniques...

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Bibliographic Details
Main Authors: Yasser Mehmood Qureshi, Vitaly Voloshin, Catherine Elizabeth Towers, James Anthony Covington, David Peter Towers
Format: Article
Language:English
Published: BMC 2024-07-01
Series:Parasites & Vectors
Subjects:
Mosquito tracking
Imaging systems
Trajectories
Machine learning
Behaviour
Online Access:https://doi.org/10.1186/s13071-024-06356-9

Internet

https://doi.org/10.1186/s13071-024-06356-9

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