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!
PhD candidate studying the impact of sound on fish behavior and physiology
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I am a naturalist specialised in wildlife ecology and nature conservation, with experience in international project management, spatial data analysis and remote sensing techniques
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University of California
retired Field Station Director, very early adopter of conservation technologies
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I started my career developing a low-power and GPS-based IoT solution to protect rhinos in an African conservancy. I am now working at Edge Impulse as Senior DevRel Engineer. When not hacking hardware or automating tasks, you can see me riding an electric skateboard in Lille, FR
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We invite applications for the third Computer Vision for Ecology (CV4E) workshop, a three-week hands-on intensive course in CV targeted at graduate students, postdocs, early faculty, and junior researchers in Ecology...
12 February 2024
The primary focus of the research is to explore how red deer movements, space use, habitat selection and foraging behaviour change during the wolf recolonization process.
10 February 2024
Applications open for a PhD position in plant vibroacoustics at the University of Southampton
8 February 2024
We demonstrate the power of using passive acoustic monitoring & machine learning to survey species, using ruffed lemurs in southeastern Madagascar as an example.
23 January 2024
Article
new paper in Journal of Animal Ecology
17 January 2024
Do you work for a climate organization looking to multiply impact with AI? Apply for the Salesforce Accelerator - AI for Climate! This new philanthropic initiative is dedicated to supporting innovative solutions for...
16 January 2024
Two years in Cape Town, South Africa. Yearly visits to Rwanda. If you love to code, and all things Python/deep learning/tech stuff/ then you'll have an awesome time!
16 January 2024
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
Article
An update on @Alasdair and @adanger24's HWC project
11 January 2024
The Conservation Technology Laboratory within the Population Sustainability department is seeking two fellows for summer 2024.
9 January 2024
Here are a few key insights from this year's event that we're carrying into 2024.
2 January 2024
News from a grant to explore potential projects for monitoring biodiversity in latin american countries
16 December 2023
August 2024
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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 minute 23 seconds ago | |
Thanks, I grabbed those datasets already. I know about that website, put couldn't quite make sense of it. It says 'open repository', but then there is a login page with no way to... |
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AI for Conservation, Open Source Solutions, Protected Area Management Tools, Drones, Remote Sensing & GIS | 1 day 14 hours ago | |
Hey @Sylvain_H Am leaning towards Maad Audiophiles or The Maad Eco Community |
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Acoustics, AI for Conservation, Open Source Solutions, Software and Mobile Apps | 3 days 10 hours ago | |
@DibblexLesalon looks like a great question for your team at Expert Drones Africa :) |
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AI for Conservation | 5 days 5 hours ago | |
However, I think it's important to reflect further to determine exactly what needs to be done. |
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Climate Change, AI for Conservation, Biologging, Citizen Science | 1 week ago | |
Congrats on the publication! Great work! |
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AI for Conservation | 6 days 17 hours ago | |
The German start-up Dryad is also working on early fire detection using sensors and AI. |
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AI for Conservation | 6 days 20 hours ago | |
Hey, You're correct, traditionally species distribution models are spatial only, but here are a few ideas for how to incorporate time into your modelling: Categorise the... |
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AI for Conservation | 1 week 2 days ago | |
I found this interesting |
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AI for Conservation, Emerging Tech | 1 week 4 days ago | |
Really interesting, I will take a look |
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AI for Conservation, Camera Traps, Data management and processing tools, Emerging Tech | 1 week 6 days ago | |
Great new!! |
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AI for Conservation | 2 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... |
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AI for Conservation | 2 weeks ago |