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.
- @jguenter
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Species360 CEO - passionate about using data to care for and conserve species
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I have worked in the vertebrate pest industry for over 11 years and am on the practical, on the ground implementation of AI animal control systems.
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- @steventay
- | TAY
Dynamique ET PROACTIF, JE SUIS PASSIONNÉ PAR LA PROTECTION DE L'ENVIRONNEMENT, LE TOURISME RESPONSABLE ET LA CONSERVATION DES ÉCOSYSTÈMES.
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- @diego_ellis_soto
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University of California & California Academy of Sciences
Biodiversity |Technology | Socio-Ecological Systems | Wildlife Ecology | Remote Sensing | Conservation | K12STEM-education | Music | diegoellissoto.org
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- @dka32
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I am a highly motivated individual with a background in Natural Resources Management. I am a conservationist who desire to make an impact in the field of conservation using technology.
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Retired Engineer / UAV interests / Photographer
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- @ColleenEarthScape
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- @Alawa
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Passionate wildlife and biodiversity conservationist
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- @mattaudette
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Software Tester and Test Automator at Wildlife Protection Solutions
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- @Rutwik
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- @williams
- | He/Him
I am a conservationist specializing in endangered species, particularly vultures. As the Endangered Species Conservation Coordinator/Co-Founder at Biota Conservation Hub Foundation (BiotaCHF), I have conducted extensive research/conservation of vultures and other water birds.
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| 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... |
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AI for Conservation, Camera Traps | 3 years ago | |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 3 years ago | |
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AI for Conservation, Human-Wildlife Coexistence, Software Development, Wildlife Crime | 3 years 1 month ago | |
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