Groups joined
Groups
Group
- Group Stats
-
- 420
- 537
- 291
- Latest Resource
- /
- BoutScout – Beyond AI for Images, Detecting Avian Behaviour with Sensors
In this case, you’ll explore how the BoutScout project is improving avian behavioural research through deep learning—without relying on images or video. By combining dataloggers, open-source hardware, and a powerful BiLSTM deep learning model trained on temperature data, the team has reduced the time needed to analyse weeks or even months of incubation behaviour to just seconds. This has enabled the discovery of new patterns in how tropical birds incubate their eggs across different elevations and climates. With tools soon to be released on PyPI, including a no-code platform for behavioural analysis, this work offers a fresh, scalable approach for conservationists and researchers working on breeding data at the tropics.
Group
- Group Stats
-
- 199
- 309
- 221
- Latest Discussion
- Support the Cartographer Cause!
- Latest Resource
- /
- MyProgress: Advancing GIS and R programming skills.
A fascinating journey of unleashing my potentials in spatial analysis using ArcGIS Pro and R programming.
Group
- Group Stats
-
- 465
- 724
- 160
- Latest Discussion
- Field testing the PolarBearWatchdog!
This is a chance to participate in a short survey about the preferences that conservation practitioners have for evidence. There's a chance to win one of three £20 Mastercard gift cards.
Group
- Group Stats
-
- 611
- 542
- 332
- Latest Discussion
- Support the Cartographer Cause!
Group
- Group Stats
-
- 430
- 340
- 216
- Latest Discussion
- Looking to connect: data scientist diving into conservation
This is a chance to participate in a short survey about the preferences that conservation practitioners have for evidence. There's a chance to win one of three £20 Mastercard gift cards.
Group
- Group Stats
-
- 576
- 755
- 272
- Latest Discussion
- New Group Proposal: Systems Builders & PACIM Designers
- Latest Resource
- /
- BoutScout – Beyond AI for Images, Detecting Avian Behaviour with Sensors
In this case, you’ll explore how the BoutScout project is improving avian behavioural research through deep learning—without relying on images or video. By combining dataloggers, open-source hardware, and a powerful BiLSTM deep learning model trained on temperature data, the team has reduced the time needed to analyse weeks or even months of incubation behaviour to just seconds. This has enabled the discovery of new patterns in how tropical birds incubate their eggs across different elevations and climates. With tools soon to be released on PyPI, including a no-code platform for behavioural analysis, this work offers a fresh, scalable approach for conservationists and researchers working on breeding data at the tropics.
Bookmarks
Keep track of the resources that matter to you! Collections let you save, organise, and share content from all over the WILDLABS community. Create your first collection by clicking on the bookmark icon wherever you see it.
My Courses
These are your in-progress and completed courses. Explore more courses through our catalogue.
To find courses you have created, see your "My Draft Content" or "My Content" tabs.
Introduction to Conservation Technology
GIS E-learning Course 4: Becoming Confident in Spatial Analysis & Geoprocessing
Judith Njoka's Comments
Be part of the conversation! Once you've joined a discussion in the community, your comments will show up here.