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!
No showcases have been added to this group yet.
- @Palinda
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Corporate Responsibility Specialist & Sustainability/ Climate Change Professional Helping Conservation, Restoration, Community Livelihood Development ESG strategy and Sustainable Development.
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Universidade Federal do Rio Grande do Norte (UFRN)
I'm a Biologist and currently a master's student. My research focuses on understanding how birds respond to a restoration experiment in a Seasonally Dry Tropical Forest exclusive to Brazil through bioacoustics.
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- @APooran
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- @kristian.cuervo
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Applied Mathematics student in Denmark, interested in applications of mathematics to ecology and nature conservation. Currently interested in developing sensors for perimeter detection in wildlife conservations in Africa.
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- @MorganeLabadie
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I'm an ecology researcher with extensive experience of fieldwork and project management in international contexts. I specialise in wildlife, zoonotic diseases, data collection and analysis using mainly non-invasive techniques (acoustic, camera traps, etc.) and invasive techniques
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- @Jen_NZ
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- @cappel
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Wildlife Science PhD candidate working on computer vision with camera traps and bioacoustics
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- @valengsb
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GIS specialist for Audubon Americas | Biologist with an emphasis on Conservation and Sustainable Development | Innovative approaches in the study and monitoring of biodiversity for possible, biodiverse, and just futures.
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Ecologist at Noe NGO, Project manager in restauration, rewilding, and citizen sciences program for grassland ecosystems and wild pollinators
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- @capreolus
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Capreolus e.U.
wildlife biologist with capreolus.at
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- @JakobWiren
- | He,him
Swedish soon-to-be graduate engineer in AI/ML and robotics. Writing my master thesis in using decision trees for anti-poaching in Limpopo, South Africa. Am passionate about conservation, AI and travelling. Help me find a way to help you!
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- @fshort
- | He / Him
Boston University PhD Candidate, Biological Anthropology. Engaging in passive acoustic monitoring (PAM) of Bornean orangutans (Pongo pygmaeus wurmbii), Bornean white-bearded gibbons (Hylobates albibarbis), and red leaf monkeys (Presbytis rubicunda)
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Article
The recent Ramsar Conference in Victoria Falls, Zimbabwe, underscored the critical importance of wetland conservation and the need for innovative solutions to protect these vital ecosystems.
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Read about the advice provided by AI specialists in AI Conservation Office Hours 2025 earlier this year and reflect on how this helped projects so far.
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17 Products
Recently updated products
| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| We just wanted to share this news outside the core robotics community - hoping to connect more with conservationists, researchers,... |
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AI for Conservation, Drones | 6 months ago | |
| Hi Lucie @luciegallegos ,Great to see ecoSecrets and happy to collaborate in any way I can! All EcoAssist's models are open-source, and the inference code too. With regards to... |
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Software Development, AI for Conservation, Camera Traps | 6 months ago | |
| Another question. Right now pretty much all camera traps trigger on either PIR sensors or small AI models. Small AI models would tend to have a limitation that they would... |
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AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 6 months ago | |
| Hi Lucille,Thank you for your reply! We’d be really interested in learning more about your developments. We’ll contact you soon to arrange a discussion.Thank you.Best regards,... |
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Acoustics, AI for Conservation, Sensors | 6 months 1 week ago | |
| Hi Lorenzo,I highly recommend the OpenSoundscapes package (developed by the Kitzes Lab at U Pittsburgh) - there are workflows to build your own CNNs there, the documentation is... |
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Acoustics, AI for Conservation, Animal Movement, Open Source Solutions | 6 months 1 week ago | |
| This is probably seen a bit as "self-branding" which I hope is alright, otherwise please let me know! I have spent the past few months... |
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AI for Conservation | 6 months 1 week ago | |
| We are putting together a special issue in the journal Ostrich: Journal of African Ornithology and are welcoming (review) papers on the use of AI in bird research. https://www.... |
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AI for Conservation, Software Development, Citizen Science, Data management and processing tools | 6 months 1 week ago | |
| Hi Adrien,Submissions are open for the special addition. Please email David Ehlers Smith - david.ehlers.smith@birdlife.org.za for more details. We are also soliciting reviewers.... |
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AI for Conservation | 6 months 1 week ago | |
| Hello everyone!During my master thesis in engineering (past autumn), I developed Machine Learning for anti-poaching. As such, I recorded a... |
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Acoustics, AI for Conservation, Data management and processing tools | 6 months 1 week ago | |
| Hey everyone! We’re Deep Voice Foundation, a non-profit using AI to help conserve marine wildlife. We develop acoustic... |
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Acoustics, AI for Conservation | 6 months 2 weeks ago | |
| Hello everyone. My name is Bilal. I recently graduated with a degree in bioengineering and hold a bachelor's degree in computer science,... |
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AI for Conservation, Animal Movement, Human-Wildlife Coexistence, Marine Conservation | 7 months ago | |
| Hey, please find here a dataset about nocturnal bird calls in Europe |
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Acoustics, AI for Conservation, Software Development | 7 months ago |
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Who wants to learn Python? Courses to get you started coding
2 May 2016 3:13pm
1 March 2019 9:20am
Hello everyone what are you wating for..
All US, UK, India users can enroll courses from Intellipaat (the largest IT trainng company)
check some of thier superb training list:
29 October 2019 4:52pm
Chuck's Python for Everyone course is available these days at www.py4e.com, and he's also created a course called Web Apps for Everyone www.wa4e.com. Both excellent resources, and he's a strong proponent for (and creator of) open source educational tools in general.
Lucy
Plant-Powered Camera Trap Breakthrough
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Hello buzzing World!
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ML at the Edge
28 June 2019 8:16am
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A couple of years ago I completed the Coursera course Programming for Everybody (Getting Started with Python) with Charles Severance. I found it really well paced and well taught. He's a very personable tutor, and has also written a free book Python for Everybody, available as a PDF.
I found the Coursera course on R Programming with Roger Peng to be more difficult to follow, but I'm not sure whether that was down to the teaching style or the language itself. For R, I'd definitely recommend the best place to get started is swirl - Learn R, in R!
Happy coding