Fourth workshop on pollinator monitoring as part of the EASY-RIDER project.

In this 2 hour-session we will hear from three teams who will be presenting their work in designing automated monitoring tools for flower-visiting insects, different ways for creating datasets for training machine learning algorithms for insect identification and how these new technologies can be integrated in traditional monitoring schemes. We will follow the talks with a discussion session focused on opportunities to leverage machine learning to enhance the monitoring projects discussed in previous sessions, challenges involved in integrating machine learning tools and ways to increase interdisciplinary collaboration.

Agenda (UTC time, check different time zones here):

15:00 – Welcome – Luca Pegoraro (WSL)

15:05 – The UK and EU Pollinator Monitoring Schemes (PoMS): opportunities and challenges for integrating automated methods – Claire Carvell (UK Centre for Ecology and Hydrology)

15:30 – DIY camera trap for automated monitoring of flower-visiting insects – Maximilian Sittinger (Julius Kühn-Institut)

15:55 – Finding insects in images with(out) automatic methods – Hjalte Mads Rosenstand Mann (Aarhus University)

16:20 – Discussion

17:00 – Close

Recording available here: