Webinar:  Deep learning and computer vision will transform entomology

Speakers: Toke Høye (Department of Bioscience and Arctic Research Centre, Aarhus University, Ronde, Denmark)

Date: Tuesday, December 1, 2020

Time: 11:00am-12:00pm Eastern Time

Location: https://us02web.zoom.us/j/82515787249

Host: Neil Cobb (neil.cobb@nau.edu or neilscobb@gmail.com)

Summary: Advances in computer vision and deep learning provide potential new solutions to this global challenge. 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, behavior, and interactions. Here, we connect recent developments in deep learning and computer vision to the urgent demand for more cost-efficient monitoring of arthropods.


Webinar:  How to make ID guides in DiscoverLife

Speakers: Sam Droege (USGS - Native Bee Inventory and Monitoring Program)

Date: Thursday, December 3, 2020

Time: 1:00pm-2:00pm Eastern Time

Location: https://us02web.zoom.us/j/82515787249

Host: Neil Cobb (neil.cobb@nau.edu or neilscobb@gmail.com)

Summary: This will be a continuation of the September 17th webinar that covered the basics of how the ID guides in DiscoverLife work. This webinar will focus on creating your own ID guides.



Past webinars this fall


Bee ID Guides in DiscoverLife  September 17, 2020;  Sam Droege USGS - Native Bee Inventory and Monitoring Program


iNat in Your Specimen Data November 5, 2020;  Mason Heberling and Bonnie Isaac (Carnegie Museum)