With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
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- @Nix
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Hello! I'm Amélie, founder of Nix Air Solutions, a company offering wildlife monitoring solutions including biologging IoT trackers and software tools for real time tracking, data cleaning and processing through AI.


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Movement Ecologist studying the where, why, and how animals move throughout our world. Current work is investigating the movement and energetics of large neotropical bats in a changing environment with ephemeral resources.



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- @matt_hron
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Wildlife Protection Solutions (WPS)
Product Manager at Wildlife Protection Solutions



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- @maddy
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Iam a Doctorate in molecular bology by profession & associated with a tech startup, focued on IoT/sensor based automation solutions. But I spend half of my time to document and conserve local & wildlife arond us and trying to explore our technology in conservation.Love to join
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- @tomwhite101
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Agroecology Geek
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- @benitezl
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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- @heiabb02
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Early Career Wild Felid conservationist with BS in Biology & Zoology
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- @Kathinja
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A Geography Graduate with a keen interest in Geographic Information systems(GIS), a climate enthusiast, sustainable development, conservation effort and green technologies
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Asst. Prof @ MIT with research at the intersection of computer vision, biodiversity monitoring, conservation, and sustainability.



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Cornell University


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Climate Change AI calls for applications for Innovation Grants regarding AI/ML research projects. Eligible applicants are principal investigators at accredited universities in OECD member countries.
12 August 2024
In this post, I describe an animal recognition demonstration app I developed for the iPhone. The “MegaDetector-Demo” app uses the latest “MegaDetector” animal detector model from PyTorch-Wildlife to identify animals,...
11 August 2024
To celebrate our 9th Annual #Tech4Wildlife Photo Challenge happening this week, we’re taking a look at past and current submissions that feature the fastest growing areas of conservation tech: movement ecology, AI,...
7 August 2024
We are thrilled to introduce our new horizon scan, which will chart the future of bioacoustics. By collectively prioritizing emerging innovations that could transform the field, we aim to build consensus, facilitate...
5 August 2024
Hi all, I've published a blog post on rapidly labeling camera trap data using ChatGPT for species identification and a simple object detection model to get the bounding boxes. While presented in Edge Impulse, this...
17 July 2024
We are recruiting an (extendable) 2-year postdoc in my group to develop new technologies (cameras, microphones, deep learning, etc) to track earthworm activity in the field.
16 July 2024
The Reversing Environmental Degradation in Africa and Asia (REDAA) Programme is seeking a consultant to look into current issues with AI to develop a better shared understanding of how AI and related technologies could...
11 July 2024
Aerial seeding with drones has great potential in forest restoration but faces enormous challenges to be efficient and scalable. Current protocols use blanket seeding throughout the area to be restored, meaning a high...
20 June 2024
Come join us at AIMS, and work on deep learning for bioacoustics research!
14 June 2024
The AI for Climate and Nature Grand Challenge initiative from the Bezos Earth Fund has opened a call for proposals for "exploring new ideas for multiplying the impact of climate and nature efforts using modern AI"
12 June 2024
The San Diego Zoo Wildlife Alliance's Burrowing Owl Recovery Program and Conservation Technology Lab seek a postdoctoral research associate to develop bioacoustic tools for monitoring the western burrowing owl...
11 June 2024
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Description | Activity | Replies | Groups | Updated |
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For the record now that this is here:This error typically occurs when the wrong number of classes is given to timm.create_model. You should try to specify num_classes=30... |
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Camera Traps, AI for Conservation | 10 months ago | |
WildMon, Terra Genesis, The VF Foundation, Thaksin University, and the Wanakaset Symbiosis Network have teamed up on a new project in... |
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Acoustics, AI for Conservation, Community Base | 10 months 1 week ago | |
Do you use camera traps? If so, we'd love if you could take five minutes to fill out this survey: tinyurl.com/zambasurveyWith our WILDLABS... |
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AI for Conservation, Camera Traps, Data management and processing tools, Software Development, Open Source Solutions | 10 months 2 weeks ago | |
I'm not affiliated, I just happened across it... not sure who is actually leading it. |
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Software Development, Early Career, AI for Conservation, Citizen Science, Climate Change, Conservation Tech Training and Education, Funding and Finance | 10 months 2 weeks ago | |
Great and difficult question Lisa! I think, yes, we are adding to the problem. We have been already when ML was introduced as a solution to big data problems, and perhaps we have... |
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AI for Conservation | 10 months 3 weeks ago | |
Odor based methods would be interesting. Provided they didn't need to be replenished too often.We find varied stimulus prevents habituation. |
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AI for Conservation, Conservation Tech Training and Education, Emerging Tech, Human-Wildlife Coexistence | 10 months 3 weeks ago | |
Thank you John. |
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AI for Conservation | 10 months 3 weeks ago | |
Hello everyone!Check out our new paper on "Reliable and efficient integration of AI into camera traps for smart wildlife monitoring." We... |
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AI for Conservation | 11 months ago | |
Hi Karen,Yeah the discharge curves of lithium cells tend to be very stable for a long time and then drop sharply at the end. Akiba and Brett's advice below re: condensation... |
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Camera Traps, AI for Conservation | 11 months 1 week ago | |
Hi @benweinstein !Surely a general detector might be very useful for detecting objects in aerial imagery! Maybe something similar to what MegaDetector does in camera trap images,... |
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AI for Conservation, Open Source Solutions, Protected Area Management Tools, Drones, Geospatial | 11 months 1 week ago | |
Thank you!! |
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AI for Conservation | 11 months 2 weeks ago | |
Agreed. I have recently begun using SegmentAnything as a replacement for Detectron and have been very pleased. However, for a fish school I don't know how well it would do out of... |
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Data management and processing tools, AI for Conservation | 1 year ago |