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!
- @valengsb
- | she / her
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.
- 0 Resources
- 0 Discussions
- 18 Groups
Ecologist at Noe NGO, Project manager in restauration, rewilding, and citizen sciences program for grassland ecosystems and wild pollinators
- 0 Resources
- 1 Discussions
- 7 Groups
- @capreolus
- | he/him
Capreolus e.U.
wildlife biologist with capreolus.at
- 1 Resources
- 78 Discussions
- 16 Groups
- @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!
- 0 Resources
- 1 Discussions
- 13 Groups
- @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)
- 0 Resources
- 2 Discussions
- 2 Groups
- @Gabonia
- | He/him
GABriel ONIfade A. (GABONIA / mrGab), is an educator, a CS and AI advocate, a Data Engineer, an AI Engineer, an Entrepreneur, and curriculum developer based in Brooklyn, New York (NYC DOE District 19). With a background in Systems Engineering, Gabriel specializes in CS & AI Edu.
- 1 Resources
- 1 Discussions
- 4 Groups
- @siddharth119
- | He/Him
Co-founder of Habitat Robotics, a conservation-tech non-profit
- 0 Resources
- 0 Discussions
- 3 Groups
- @Kwabs22
- | He
I'm a dynamic environmental conservationist driving change through research and innovation. I merge farming experience with agroforestry skills and drone technology, fueled by a passion for sustainable agriculture, championing a greener future for a sustainable food system.
- 0 Resources
- 0 Discussions
- 3 Groups
Conservation X Labs
Inventor/Engineer at Parula Innovations, Hardware Engineer for Sentinel at Conservation X Labs, (Recovering) Field Biologist
- 0 Resources
- 0 Discussions
- 6 Groups
Research software engineer working in computer vision for animal behaviour
- 1 Resources
- 1 Discussions
- 13 Groups
Xeno-canto
Co-founder and admin of Xeno-canto.
- 0 Resources
- 2 Discussions
- 2 Groups
- @annavallery
- | she/her
Seabird biologist experienced in research and applied conservation. Dedicated to conducting and using innovative research to inform conservation decisions.
- 0 Resources
- 2 Discussions
- 5 Groups
Article
#Tech4Wildlife Photo Challenge 2018: Our Top 10
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Hundreds of people joined our #Tech4Wildlife photo challenge this year, showcasing all the incredible ways tech is being used to support wildlife conservation. We've seen proximity loggers on Tasmanian Devils in...
3 March 2018
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Congratulations to Zoohackathon winners, team ODINN!
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Following the UK Government’s landmark announcement of plans to introduce a complete ban on the domestic trade in ivory, it was fitting that a new machine learning product designed to tackle the supply end of this...
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A new research project is looking to investigate whether technology combined with the ancient skills and knowledge of Namibian trackers can help save cheetahs from extinction. Called FIT Cheetahs, the research project...
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With Arctic sea ice disappearing, can advanced sensor technologies provide insights into an ecosystem on the brink?
30 November 2017
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HWC Tech Challenge Update: Meet the Judges
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Our panel of international experts has been hard at work reviewing the 47 proposals we recieved for innovative technological tools to address human wildlife conflict. The panelists have systematically been assessing the...
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The Domain Awareness System (DAS) is a revolution in monitoring technology, creating real-time awareness of protected areas assets. This technology has the potential to completely change standard monitoring procedures...
26 September 2017
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Frustrated by the limitations of the tools that were available for managing large camera trap data sets, Heidi Hendry and Chris Mann set out to develop something that met their needs, and thus, Camelot was born. In...
7 July 2017
Funding
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Trialing Audiomoth to detect the hidden threats under the canopies of Belize
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Congrats on the publication! Great work! |
|
AI for Conservation | 9 months 3 weeks ago | |
| The German start-up Dryad is also working on early fire detection using sensors and AI. |
|
AI for Conservation | 9 months 3 weeks ago | |
| I found this interesting |
+48
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AI for Conservation, Emerging Tech | 9 months 3 weeks ago | |
| Really interesting, I will take a look |
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AI for Conservation, Camera Traps, Data management and processing tools, Emerging Tech | 9 months 4 weeks ago | |
| Great new!! |
+15
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AI for Conservation | 9 months 4 weeks ago | |
| Hi Carly, thank you for the advice! I am only focusing on the two birds for now - my goal is to use part of the iNaturalist data I have pulled to train the model and the rest to... |
|
AI for Conservation | 9 months 4 weeks ago | |
| Thank you so much! Now everything is in the hands of amazing organizations and companies! But the first results of the Disaster Management cohort are bringing a very optimistic... |
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AI for Conservation, Climate Change, Early Career, East Africa Community, eDNA & Genomics, Emerging Tech, Ending Wildlife Trafficking Online, Human-Wildlife Conflict, Open Source Solutions | 9 months 4 weeks ago | |
| great! |
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AI for Conservation | 10 months ago | |
| interesting!!! |
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AI for Conservation, Animal Movement, Data management and processing tools | 10 months ago | |
| so great!!! |
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Software Development, AI for Conservation, Animal Movement | 10 months ago | |
| @bluevalhalla thanks for sharing the awesome video, sounds like a great project! |
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AI for Conservation | 10 months ago | |
| Hi everyone, I am conducting a research project as part of my MSc in Environment and Development at the London School of Economics. I... |
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Acoustics, AI for Conservation, Autonomous Camera Traps for Insects, Ethics of Conservation Tech | 10 months 1 week ago |
Mangrove soundscape
27 August 2022 4:57pm
30 August 2022 10:10pm
Camilo--
Are you interested only in airborne sounds or do you want to deploy hydrophones? That decision would inform a lot of other decisions about your purchase of equipment, as would having a clearer picture of your budget.
23 September 2022 5:39pm
Hi there Camilo,
What an interesting project! If you are looking for a lower cost, but effective tools for acoustic monitoring you might want to look into two options:
SoundTraps - are very commonly used and perform quite well:
SonarPoints - these are also a great instrument option:
page/sonarpoint | Desert Star Systems
The SonarPoint system is the third generation of Desert Stars passive underwater acoustics monitoring toolkits.
Senior Conservation Technology Expert Position (Consultancy) with the Global Wildlife Program
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WIA After Hours: Season : Episode #5 - AI for Wildlife Conservation and Imageomics with Dr. Tanya Berger-Wolf
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CamTrap Ecology meets AI conference
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Join the BirdNET team!
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Ceres Wild Rhino application
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Building a simple AI-powered, human-in-the-loop system to manage wildlife camera trap images & annotations
10 August 2022 8:12pm
Building a simple AI-powered, human-in-the-loop system to manage wildlife camera trap images & annotations - Abhay Kashyap
Abhay Kashyap - 90 day fiancé evangelist. Applied AI/ML, PhD.
3yr Postdoctoral Associate: Remote Sensing and Unoccupied Aircraft Systems
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It’s time for tech leaders to address the sector’s sustainability challenges by questioning supply and demand before it's too late.
Can deep learning identify seabirds? (species, within-species, individual)
25 May 2022 8:24pm
21 June 2022 4:55pm
Update: I asked the same question on twitter so I'm sharing answers I got there:
Let's chat! We've been training models to run on trail cameras as images/videos are captured, and have worked on migratory birds along coastlines (more info: https://t.co/NzW4GO2Wqp)
— Henrik Cox (@henrik_cox) June 1, 2022
21 June 2022 5:41pm
Hi Yvan,
I dropped this into the AI for Conservation slack group as well, you got this reply this morning:
Steph
8 August 2022 11:12am
Hi Yvan,
If you find something which reaches your expectation and especially the ability to identify individual with plumage patterns I will be intereted.
In the same idea that Ultralytics, there is :
Lobe · GitHub
Machine Learning Made Easy. Lobe has 11 repositories available. Follow their code on GitHub.
Which could probably answer your first and second requirements.
And find here a great website showing all the IA-based camera software, you may find solutions or contact throw this list:
Tiger, Tiger, in the Night... Now Visible in Real Time
5 August 2022 4:07pm
7 October 2024 9:47am
7 October 2024 9:55am
What is embedded ML, anyway?
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Biological Data Science Summer Workshop
5 August 2022 3:03pm
29 August 2022 2:47pm
You might check out the devices listed in the Conservation Tech Directory - you can search for 'acoustic recorder' or 'ARU' or something like that.
The most common off-the-shelf models (other than Frontier Labs' BARLTs mentioned above😊) are Open Acoustic Devices Audiomoths & Hydromoths (which may be particularly useful for you since they come in completely watertight cases that can be stuck underwater for deployments), Wildlife Acoustics' SongMeter series, and Cornell Lab of Ornithology's Swift units.