Jarrett Blair
- @Jarrett
- | Dignissim sed
Insects collected in large-scale biodiversity assessment efforts are often stored in bulk, liquid samples. However, manually sorting and logging these samples to extract relevant data can be a time-consuming and expensive task. With the rapid emergence of automated technology for biomonitoring, are there more efficient ways to process these samples?
In this webinar, we will explore how AI and robotic tools can be used to tackle this challenge through a series of four talks:
Toke Thomas Høye (Aarhus University): The BIODISCOVER machine
Đurađ Milošević (University of Niš): Application of deep learning in bioassessment of aquatic ecosystems: toward the construction of automatic identifier of aquatic macroinvertebrates
Zahra Gharaee (University of Waterloo): A step towards worldwide biodiversity assessment: The BIOSCAN-1M insect dataset
Jarrett Blair (University of British Columbia): A hybrid approach to invertebrate biomonitoring through computer vision and DNA metabarcoding
Watch the recording of the webinar below:
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