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!
- @nicoboenisch
- | He / him / his
Co-Director FOS Europe, Conservation Strategist and Technical Advisor to the Miradi Software Team, Improving Conservation through Adaptive Management and Evidence-based Learning
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- @ggmelone
- | she/her
University of Wisconsin-Madison
I am an ecologist and entomologist interested in the effects of climate-change driven stressors on plant-pollinator interactions. I use computer vision camera traps to collect high quality data on insect activity!
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- @EliThore
- | He/Him
Swedish University of Agricultural Sciences
I am a biologist with a broad interest in how the environment affects the behaviour and ecology of wildlife. I also like seeking creative and practical solutions to reduce our impact on the environment.
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- 5 Groups
I am a budding engineer doing Electrical and Telecommunications Engineering and I am passionate about innovation and technology and how I can use it to make an impact in society.
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Siren Project Executive @ African Marine Mammal Conservation Organization (AMMCO). 20+ year in technology. Polyglot. Divemaster.
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Co-founder and CEO of Goldfish.io
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- 1 Discussions
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M.A.P Scientific Services
Co-founder and Director of M.A.P Scientific Services, South Africa
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- @gob1thaasan
- | he/him
Gobithaasan started his career as a lecturer in 2009 and was promoted as an associate professor in 2015. His research current focus at Universiti Sains Malaysia is twofold; Topological Data Analysis and Machine Learning.
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- @sheilaotuko
- | She/her
Electrical and Electronic Engineering student with passion for green energy and climate action.
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- @APendael
- | Mr.
Amos Pendael is a renowned conservation and research specialist with extensive experience in the field of Management Oriented Monitoring Skills (MOMS), remote sensing, and Geographic Information Systems (GIS). With a M.Sc in Natural Resources Assessment and Management.
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Drones have changed how we collect information and do surveys. Whether you’re new to drones or a pro wanting to use aerial data, knowing how to do a drone survey is essential.... |
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AI for Conservation | 1 day ago | |
| Yes, this system is designed to be installed near farms. We also have the repeller system with audio & light, that is battery & solar powered. This system is a "last line... |
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AI for Conservation | 3 days 3 hours ago | |
| Yes, exactly! Alec and I are working together on this. |
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AI for Conservation | 6 days 8 hours ago | |
| Great initiative!Just a short note: any position to distinguish garbage from real snares?Best!Lufer@Landfeelings |
+12
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Conflict, Wildlife Crime | 1 week 1 day ago | |
| Undoubted things will quickly evolve from just "straight" ChatGPTn, BARD, ClaudeAI, etc "standard" models, to more specialized Retrieval Augmentation Generation (RAG) , where... |
+42
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AI for Conservation, Emerging Tech | 1 week 3 days ago | |
| This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou! |
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AI for Conservation, Citizen Science | 1 week 4 days ago | |
| Hi Sol,If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case... |
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Acoustics, AI for Conservation, Data management and processing tools, Emerging Tech, Sustainable Fishing Challenges | 1 week 5 days ago | |
| Online citizen science platforms like iNaturalist and Macaulay Library contain a wealth of images but are hard to search using text. We are... |
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AI for Conservation, Citizen Science | 1 week 6 days ago | |
| We're seeking training data for AI for wolf ID - we at T4C manage 3 Wildbook platforms: Wild North, Whiskerbook and the... |
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AI for Conservation | 2 weeks 1 day ago | |
| Hi Phani,An entry point might be to participate in a challenge related to conservation on:KaggleDrivenDataFruitPunchMax Planck Institute of Animal BehaviorYou could also reach out... |
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AI for Conservation | 2 weeks 6 days ago | |
| [oops, the same reply got submitted twice and there doesn't seem to be a "delete" button] |
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AI for Conservation, Camera Traps | 3 weeks ago | |
| Hi @zhongqimiao ,Might you have faced such an issue while using mega detectorThe conflict is caused by:pytorchwildlife 1.0.2.13 depends on torch==1.10.1pytorchwildlife 1.0.2.12... |
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AI for Conservation, Camera Traps, Open Source Solutions | 3 weeks ago |
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