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!
- @sarah_dalrymple
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Royal Society for the Protection of Birds (RSPB)
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- @stevef
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Tech Matters
Project Director, Terraso.org (1000 Landscapes for 1 Billion People): open source software for farmers, ranchers & communities.
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- @IvanIoSA
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CTO of IoSA, the Internet of Small Animals. Creator of ProxLogs
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- @lucytallents
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VerdantLearn
Sociable e-learning for conservation capacity building
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NatureMetrics
Passionate conservationist based in Italy, currently focusing on eDNA and impact with NatureMetrics.
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- @CitlalliMJ6
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Conservation biologist, executive director at the Tesoro Escondido Reserve Foundation in the Ecuadorian Chocó, working on participatory action research, environmental education, primate and amphibian conservation
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St. Lawrence University
Professor of Biology at St. Lawrence University
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- @afsanaemrose
- | she
Wildlife Conservation Society (WCS)
Hello! It's Emrose this side. I am freshly baked graduate and newbie bird enthusiastic.
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- @Edonga
- | He/His
Paul Edonga is from the Indigenous Pastoralist Tribes of Northern Kenya. A seasoned Leader in indigenous-led conservation of Endangered Beisa Oryx, African Small Antelopes their habitats & Dryland Forests. He's the founder of Save Beisa Oryx Community Resilience Trust-SBOC
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- @PrasadDWilagama
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Data Scientist | Full Stack Developer | AI ML Engineer | Lifelong Learner | Researcher | AI & MI |
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Article
Introducing the WILDLABS On the Edge Fellows
WILDLABS Team
We're proud to introduce the first WILDLABS On the Edge Fellows for 2022, Loretta Schindlerova and Meredith Palmer! Working alongside expert Edge Impulse mentors, these two fellows will use embedded machine learning to...
10 February 2022
Article
WILDLABS Fellowships & Awards: Matchmaking between tech and conservation
Stephanie O'Donnell
We have a big vision for our Fellowships & Awards Programme: to create a better way for the tech industry to more meaningfully and impactfully engage with our conservation community. As we open our first fellowships...
28 January 2022
Article
Deep Learning for Marine Ecology and Conservation
Ellie Warren
This article provides a review of deep learning (predominantly ML) used in marine ecology and considerations for its future directions in conservation. In plain language, the authors provide a methodology for training...
20 December 2021
Community Announcement
AI for Conservation Office Hours: 2021 Review
WILDLABS Admin
We've wrapped our first AI for Conservation Office Hours, a new programme where we set up 1:1 sessions with conservationists using or thinking about using AI so they could receive expert guidance from data scientists at...
14 December 2021
Article
This study breaks ground in outlining a methodology for a system of low-cost, long-term camera traps (Dispersed Environment Acquatic Cameras) that can be deployed over large spatial scales in remote marine environments...
30 November 2021
Article
In pursuit of saving the Monarch butterflies, Carlo Mondavi- pioneer of the Monarch challenge- was inspired to develop the world's first fully electric smart tractor tractor with co-founder and Chief Executive, Praveen...
29 November 2021
Article
Environmental Data Justice
Joycelyn_Longdon
This research article explores the challenges of achieving environmental data justice, with the continued advancement in technology and growth in available data. The author emphasises the necessity to prioritise ...
26 November 2021
Article
Technical Difficulties: The Promise and Pitfalls of Machine Learning for Conservation
Sara Beery and 1 more
In Ellie Warren's interview with Sara Beery as part of the Technical Difficulties Editorial Series, they discussed how the hype surrounding machine learning impacts our perceptions of failure, and how conservationists...
23 November 2021
Article
Caiman: Images as Sources of Intelligence
Sensing Clues Foundation
CAIMAN is a product from the Sensing Clues Foundation that automatically classifies animals on images from camera traps. It aims to be available by the end of 2021, contact the Sensing Clues team for more details. This...
18 November 2021
Funding
Opportunity: GEO-Microsoft Planetary Computer Programme
Group on Earth Observations (GEO)
The GEO-Microsoft Planetary Computer Programme invites the GEO community to be among the early adopters of Microsoft's Planetary Computer. The Programme will support a number of 12-month projects that use The Planetary...
4 November 2021
Article
EarthRanger Announces Inaugural Conservation Tech Award Recipients
Allen Institute for AI
On 3rd November 2021, Earthranger Announced Giraffe Conservation Foundation and Lion Guardians as the inaugral Conservation Tech Award Recipients. The two organizations are Harnessing the Power of Technology to Protect...
3 November 2021
Funding
The Centre for Statistics in Ecology, Environment and Conservation, a research group within the Department of Statistical Sciences at the University of Cape Town, is now hiring for a funded postdoc or PhD postion with...
1 November 2021
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| I added plain old motion detection because megadetector v5 was not working well with the smaller rat images and in thermal.This works really well: Also, I can see... |
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AI for Conservation, Camera Traps | 4 months 3 weeks ago | |
| Hello WalterThanks for your input. I have achieved better results with the puc when hooking it up to a powerbank. Have got them set up to "recording only", and GPS to low power... |
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Acoustics, AI for Conservation, Citizen Science, Sensors | 5 months ago | |
| great, this security cameras might be interesting for monitoring crop development and maybe other bigger pests like boars or some other herbivorous animals that could eventually... |
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AI for Conservation, Camera Traps | 5 months ago | |
| In a recent call with researchers in Thailand. They have mentioned that they use passive chip readers to log data about chipped animals as they pass by. |
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AI for Conservation, Animal Movement | 5 months 1 week ago | |
| Seems like we should include some rotations in our image augmentations as the real world can be seen a bit tilted - as this cropped corner view from our fisheye at the zoo shows. |
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AI for Conservation, Camera Traps, Data management and processing tools | 5 months 1 week ago | |
| Bird Monitoring Data Exchange is a standard often used for birds data. |
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AI for Conservation, Data management and processing tools, Emerging Tech | 5 months 3 weeks ago | |
| Hey everyone!As you might have heard, BlueSky is on hype now, with millions of users migrating to it from X. Including the scientific world... |
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AI for Conservation | 5 months 3 weeks ago | |
| Hi Zhongqi! We are finalizing our modelling work over the next couple of weeks and can make our work availabile for your team. Our objective is to create small (<500k... |
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AI for Conservation, Camera Traps, Software Development | 6 months ago | |
| Hats off to your team for this absolute game-changing technology! We rescue stray and wild animals in Taiwan, and the bulk of our work is saving animals maimed by wire snares... |
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Conflict, Wildlife Crime | 6 months ago | |
| There's quite a few diy or prototype solutions described online and in literature - but it seems none of these have made it to market yet as generally available fully usable... |
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AI for Conservation, Camera Traps, Human-Wildlife Conflict, Sensors | 6 months ago | |
| As others have said, pretty much all image models at least start with general-subject datasets ("car," "bird," "person", etc.) and have to be refined to work with more precision... |
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AI for Conservation, Camera Traps | 6 months 1 week ago | |
| This is a thread for anyone who has questions about AI for Conservation Office Hours 2025.We're once again teaming up with Dan Morris from... |
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Acoustics, AI for Conservation, Camera Traps, Community Base, Geospatial | 6 months 1 week ago |
