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Alexander J Robillard added a new Article - "Application of computer vision for off-highway vehicle route detection: A case study in Mojave desert tortoise habitat" to AI for Conservation
Alexander J Robillard added a new Article - "Application of a deep learning image classifier for identification of Amazonian fishes" to AI for Conservation
Groups
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Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera traps and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data. The AI For Conservation group is intended to unite and inspire all WILDLABS community members—whether already involved in AI for conservation, or not—to understand how to use and/or directly contribute to open-source research and development efforts.
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- Deep Voice - A Free Online Platform for AI-Based Marine Mammal Sound Detection and Classification
Passive acoustic monitoring floods marine researchers with data that can take months to annotate by hand, and the AI models that could help have long required Python setup, GitHub repos, and complex config files. Funded by the WILDLABS Awards 2025, Deep Voice removes that barrier with a free, public web app that turns marine mammal sound detection into a simple drag-and-drop task.
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- Latest Discussion
- Loaning Bioacoustics Recorders
Acoustic is one of our biggest and most active groups, with members collecting, analysing, and interpreting acoustic data from across species, ecosystems, and applications, from animal vocalizations to sounds from our natural and built environment.
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
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- Boring Fund Report for Creating Global Open-Access Ground-Truth Datasets for Insect Monitoring
Improving the computer vision detection model for the Mothbox, an automatic insect monitoring tool from Dinalab
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- Latest Discussion
- Custom Hydrophone Records Dolphins
Welcome to the official group forum for our virtual course, Build Your Own Data Logger. This is your space to engage with course instructors Akiba and Jacinta from Freaklabs, find help and resources for each module, collaborate and chat with your fellow course participants, and share your progress on your own Data Logger project!
- Latest Resource
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- Open-Source Solutions for Amphibian Passive Acoustic Monitoring: Lessons from Patagonia
Monitoring amphibians across the temperate forests of Patagonia presents significant logistical and technical challenges. Remote locations, harsh environmental conditions, and the large volumes of data generated by Passive Acoustic Monitoring (PAM) can make long-term biodiversity surveys difficult to implement and maintain. In addition, environmental data often relies on multiple independent devices, increasing costs, complexity, and logistical demands in remote field conditions. Through the WILDLABS Awards 2025, our team explored practical ways to address these challenges by combining open-source hardware, environmental sensing, and AI-assisted acoustic analysis.
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- 926
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- Latest Discussion
- Camera Trap Suggestions for Time-lapse Seabird Monitoring?
Looking for a place to discuss camera trap troubleshooting, compare models, collaborate with members working with other technologies like machine learning and bioacoustics, or share and exchange data from your camera trap research? Get involved in our Camera Traps group! All are welcome whether you are new to camera trapping, have expertise from the field to share, or are curious about how your skill sets can help those working with camera traps.
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- Practical Considerations for Camera Trap Photography
Trail Cameras & Custom Camera Traps: Technology, Ethics & Strategies for Success
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- Latest Discussion
- Camera Trap Suggestions for Time-lapse Seabird Monitoring?
Just starting your conservation tech career path? Our Early Career group is the best place to network, chat about your master's projects, and seek advice from your peers and those who have been down this path before! Join now to get to know community members and students from around the world!
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- Introducing the 2026 Cohort: Women in Conservation Technology Programme, Tanzania 2026
We're delighted to announce the launch of our fourth Women in Conservation Technology Programme, in partnership with the Grumeti Fund and with support from the JRS Biodiversity Foundation. Join us in welcoming the 2026 cohort as they kick off the training with an in-person workshop in Tanzania this July!
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Conservation tech work doesn't stop after data is collected in the field. Equally as important to success is navigating data management and processing tools. For the many community members who deal with enormous datasets, this group will be an invaluable resource to trade advice, discuss workflows and tools, and share what works for you.
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- BAM (Biodiversity Around Me) widget
I am happy to introduce and share our new project BAM, to make open biodiversity data easily accessible to everyone, everywhere!
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- Latest Discussion
- Looking for partners: Improving conservation funding and reporting
The number one problem in nature conservation is the need for more money or access to funding. This group aims to help all WILDLABS community members with funding and financing their projects. The group is called Funding and Finance to draw attention to the possibilities of funding (i.e., grants, awards, and other gifts) and finance (loans and venture capital investment in nature conservation projects and start-ups). These topics should be seen in their wider contexts, including that of a project or organisation’s income or business model.
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- Announcing the WILDLABS Awards 2026 Grantees
Learn about the 16 selected projects that are working to innovate, scale, and adopt conservation technology for this year’s WILDLABS Awards.
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Alexander J Robillard's Content
Article
Driving off-highway vehicles (OHVs), which contributes to habitat degradation and fragmentation, is a common recreational activity in the United States and other parts of the world, particularly in desert environments...
8 April 2025
Article
Application of a deep learning image classifier for identification of Amazonian fishes
Alexander J Robillard
Given the sharp increase in agricultural and infrastructure development and the paucity of widespread data available to support conservation management decisions, a more rapid and accurate tool for identifying fish...
11 January 2024
Alexander J Robillard commented on "Application of computer vision for off-highway vehicle route detection: A case study in Mojave desert tortoise habitat"