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.
- @kenadyWilson
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- @cristiar.samosir
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Just a woman passionate in conservation practices
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I am a biology undergraduate student who is interested in the field of wildlife conservation and has skills in field observation and identification
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- @luciana.rocha
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- @julianagc
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With a background in biology, consulting, and education, I enjoy combining my many passions in applying ML and AI to biodiversity conservation.
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Terrestrial Ecologist
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I am the executive director of FishEye Collaborative, a non-profit developing underwater bioacoustic technologies and methods to grow our understanding of marine ecosystems.
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- @marinejoly
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Associate Professor in Cognitive Ethology (University of Portsmouth, UK), I am interested in primate behaviour and cognition. I am seeking new avenues to investigate animal cognition and address conservation issues.
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WildData Annotation Lab
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I am actively interested in pollinator ecology, monitoring, and conservation and the use of cutting-edge artificial intelligence tools for my research. https://vargaszilay.hu/
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- @kbubnicki
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Ecologist, data scientist, and programmer with over 13 years of professional experience. Open source and Linux enthusiast. Researcher at the Mammal Research Institute, Polish Academy of Sciences, and CEO of the Open Science Conservation Fund.
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- @bissembert
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ReEarth AI
Tech guy, Ethicist, Vitalist and Wanderer
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Hey Wildlabbers! Is anyone planning to go to the Academic Data Science Alliance (ADSA) annual meeting next week in San Antonio? I'll be... |
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AI for Conservation, Community Base | 1 year 9 months ago | |
| This is super cool! Me and @Hubertszcz and @briannajohns and several others are all working towards some big biodiversity monitoring projects for a large conservation project here... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps, Funding and Finance | 1 year 10 months ago | |
| Hello! If you were interested in the DSAIL Tech4Wildlife Workshop last week exploring how AI can be used to aid conservation efforts, you... |
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AI for Conservation, Conservation Tech Training and Education | 1 year 10 months ago | |
| Very helpful, thank you. One more thing, are there any broad skills that apply to all areas of conservation tech that may be helpful to learn/improve, e.g data analysis? |
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AI for Conservation, Conservation Tech Training and Education, Early Career | 1 year 11 months ago | |
| Hi everyone! We were so delighted to have Adrien along to our June Variety Hour to share more about the Nocturnal Bird Migration project. If you missed it, you can catch up with... |
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AI for Conservation | 2 years 1 month ago | |
| During Andrew's talk in our June Variety hour (see here), @dmorris put out a call in the chat that might be relevant to our marine and ai... |
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AI for Conservation, Marine Conservation | 2 years 1 month ago | |
| During Andrew's talk, @dmorris put out a call in the chat that might be relevant to folks catching up on the video, so I'll drop it here too: Re: Andrew's fish work... part... |
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AI for Conservation, Camera Traps, Drones, Marine Conservation | 2 years 1 month ago | |
| Thanks, @pvlun,@pvlun we are going to try it to develop a model for feral cat and rat detection in camera trap. |
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AI for Conservation | 2 years 1 month ago | |
| A new COST action has been announced which will focus on the use of computer vision for monitoring insects.InsectAI will run for 4 years... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 2 years 1 month ago | |
| Carly, that would be great! Thanks! I work with soundscapes and love the work of Rainforest Connection! I'll send you an email (@CUNY) to coordinate! |
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The Foes and Floes of Labelling Aerial Pictures Manually
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PyTorch Developer/Data Scientist at Pl@ntNet
7 July 2022 5:27pm
Hello there
1 July 2022 5:00pm
Intro webinar - The Biodiversity Digital Twin: a new solution to support protection & restoration of ecosystems
30 June 2022 1:22am
New Conservation Tech Directory update
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Live Q&A on AI models to process Camera Trap Imagery: All about WildID
21 June 2022 6:49am
23 June 2022 11:43am
Thank you so much Kate for the excellent answers, explanations, insights and pointers; This was nothing short of Amazing!
Thank you all for joining us in this discussion; I hope this has been helpful and you now have a solution for processing your 1 million + camera trap imagery. If you have any questions for Kate, please feel free to drop them in this discussion thread- she is more than happy to answer. If you’d like to reach out to Kate directly, you can Direct message her here or send her an email at: support@wildid.app
Thank you!
23 June 2022 11:45am
Thank you so much Netty, I really enjoyed it.
Good luck to you all with your work.
Keep well!
Live Q&A session on AI models for Processing Camera Trap Imagery:A highlight of WildID.
22 June 2022 1:42pm
Bird Acoustic Solution
9 June 2022 11:31pm
11 June 2022 1:16pm
There are a bunch of different options for detecting calls in audio data, from proper statistical platforms such as R/Python, to bespoke software such as Arbimon, Kaleidoscope & Raven. Edge Impulse also an online ML model-building interface, but this is more focused on then deploying the models onto devices for edge computing. Arbimon has template matching features that are a good way to start finding detections to build a training dataset, I have used it for this in the past. Arbimon is online & free. Kaleidoscope has a clustering function which is again a good first step to start picking out the low-hanging fruit of detections so to speak. It's a desktop app, but this is not free ($400/yr). Raven also has some automated features - template & band-limited entropy detectors. It's also a desktop app and not free ($100-$800 depending on 1-year or permanent license and whether non-profit or not; not sure where a government agency would fit into that).
There is always the ubiquitous split between biologists who traditionally are taught to use R and tech/computer folks who are taught to use Python, but for ML, Python's ecosystem is really well set up. Not sure what the level of programming you/your dept has, but there are a TON of free resources online for learning it if you were interested.
Relevant Python bioacoustics packages potentially of use - Acoustic_Indices, scikit-maad, Ketos, OpenSoundscape (as well as the obvious ML ones such as TensorFlow)
Some R packages as well - soundecology, bioacoustics, monitoR, warbleR, gibbonR
@tessa_rhinehart has created a fabulous list of bioacoustics software that you can find here: https://github.com/rhine3/bioacoustics-software.
You can also turn to articles that have already done similar things and reach out to the authors to discuss their methods. I've got a (totally un-exhaustive) list of papers on passive acoustic monitoring, with a section on 'analyses' that you might find useful to start with; I can email it to you if you'd like. Working on a PAM training materials page on my website that it will be available at shortly as well (will post the link to Wildlabs when it's live!).
Hope this is helpful!
16 June 2022 9:27am
Hi,
Look at this publication (below) and download the BirdNet app. The computer code is provided to train ML algorithm that will allow you to tailor the model with your own data.
Thanks, Mrigesh
20 June 2022 1:00am
Thank you @carlybatist , @Freaklabs and @MK . The inputs are very useful and I am progressing on my project based on that. Appreciate a lot.
Cofounder needed
9 June 2022 4:23pm
17 June 2022 1:14pm
What about developing a drone conservation training course for field conservation staff teaching specific skills for specific research needs.
17 June 2022 6:54pm
How exciting @Joyeeta ! I'd love to learn more about the companies and projects you worked on, can you share more info about them?
I once chatted to an entrepreneurial advisor with a couple of my conservation tech ideas, and he said my ideas are good/impactful but don't make for a product worth millions of $$$ of turnover per year that would interest investors. So I am very curious about how you got your conservation tech businesses off the ground!
18 June 2022 8:33pm
Some folks doing work in this space - Wildlife Drones, Conservation Drones, UAV Wild, AfricanDrones, Oceans Unmanned, Geonadir.
Silverstrand Capital Biodiversity Accelerator+
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Join Seeed’s “IoT Into the Wild Contest for Sustainable Planet 2022” on Hackster to Get 100 Free Hardware and to Win $14,000+ in Prizes!!!
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Nothing too much more to share about WildID - I think you've had an earful already! But just to say that we really do enjoy working with our users, so don't be shy to get in touch for any questions, or think you would be bothering us if you need support. We're excited to bring more projects on board and extend our training sets to new locations, camera types and species.
For those in regions outside Africa, we are considering releasing a version of WildID that uses MegaDetector from Microsoft AI - so it will classify your images into empties, and then human, vehicle and animal (just those three classes). You would then be able to define your own species list, and edit the animal pictures to the correct species. Still a fair amount of work for you to edit, but you are probably doing the work already, and at least you would have an easy interface in which to do it, and particularly empties excluded already for you. Get in touch with us if this would be of use to you.