[Mitarbeiter.zoologie] Fwd: [MEMBERS] NEW ROOM TODAY: Toke T. Høye from Aarhus University at the seminar series

[Robert Paxton]

Dear All,

Here is the reminder about today’s iDiv seminar.

Robert



> Begin forwarded message:
> 
> From: "Bowler, Diana" <diana.bowler at idiv.de>
> Subject: [MEMBERS] NEW ROOM TODAY: Toke T. Høye from Aarhus University at the seminar series
> Date: 17 March 2021 at 08:52:17 CET
> To: "all at idiv.de" <all at idiv.de>, "members at idiv.de" <members at idiv.de>, "assoc.members at idiv.de" <assoc.members at idiv.de>
> 
> Dear All,
>  
> Today in the iDiv seminar series we will have Toke T. Høye, senior scientist from Aarhus University talking about “Deep learning and computer vision will transform entomology”.
>  
> This week we will use Zoom. Please join us here:
> https://uni-jena-de.zoom.us/j/5190748093 <https://uni-jena-de.zoom.us/j/5190748093>
>  
> Passcode: idiv123
> Meeting ID: 519 074 8093
>  
>  
>  
> Toke T. Høye
> “Deep learning and computer vision will transform entomology”
> Wednesday, 17 March 2021 at 1 pm
> https://webconf.vc.dfn.de/idiv-seminar-series/ <https://webconf.vc.dfn.de/idiv-seminar-series/>
>  
> Abstract
> Advances in computer vision and deep learning provide potential new solutions to the challenge of understanding ecological responses to environmental change such as the potentially global insect decline. Cameras and other sensors can effectively, continuously, and non-invasively perform entomological observations throughout diurnal and seasonal cycles. The physical appearance of specimens can also be captured by automated imaging in the lab. When trained on these data, deep learning models can provide estimates of insect abundance, biomass, and diversity. Further, deep learning models can quantify variation in phenotypic traits, behaviour, and interactions. Here, we connect recent developments in deep learning and computer vision to the urgent demand for more cost-efficient monitoring of arthropods.
> See recent PNAS perspectives paper: https://www.pnas.org/content/118/2/e2002545117 <https://www.pnas.org/content/118/2/e2002545117>
>  
>  
> Diana Bowler
> Postdoctoral Researcher
> Friedrich Schiller University Jena
> German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
>  
> Puschstraße 4 |  D-04103 Leipzig  |  Germany
> diana.bowler at idiv.de <mailto:diana.bowler at idiv.de>  |  www.idiv.de <http://www.idiv.de/>  |  google scholar profile <https://scholar.google.com/citations?hl=en&user=P3jYLd4AAAAJ>
>  
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