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!
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Description | Activity | Replies | Groups | Updated |
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Greetings Everyone, We are so excited to share details of our WILDLABS AWARDS project "Enhancing Pollinator Conservation through Deep... |
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AI for Conservation, Autonomous Camera Traps for Insects | 3 weeks 2 days ago | |
EcoAssist is an application designed to streamline the work of ecologists dealing with camera trap images. It’s an AI platform that... |
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Software and Mobile Apps, AI for Conservation, Camera Traps | 4 weeks ago | |
We could always use more contributors in open source projects. In most open source companies Red Hat, Anaconda, Red Hat and Mozilla, people often ended up getting hired largely... |
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Acoustics, AI for Conservation, Conservation Tech Training and Education, Early Career, Marine Conservation | 1 month 1 week ago | |
Hi @timbirdweather I've now got them up and running and winding how I can provide feedback on species ID to improve the accuracy over time. It would be really powerful to have a... |
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Acoustics, AI for Conservation, Citizen Science, Emerging Tech | 1 month 2 weeks ago | |
Really interesting project. Interesting chip set you found. With up to around 2mb sram that’s quite a high memory for a ultra low power soc I think.It might also be... |
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Acoustics, AI for Conservation | 1 month 3 weeks ago | |
Absolutely! I pretty much do the same thing, the resizing step I think relates to what I still have to do. Some large images caused my code to crash.I want to take it one step... |
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AI for Conservation | 2 months ago | |
Thank you so much for your encouraging words! I'm thrilled to hear that you enjoyed our conversation, and I truly appreciate your support in spreading the word about my survey... |
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Acoustics, AI for Conservation | 2 months ago | |
Perfect thanks! I am still a novice using Python but my wife can help me! |
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AI for Conservation, Camera Traps, Human-Wildlife Conflict | 2 months 1 week ago | |
Hi everyone! My name is Leah Govia and I am a PhD candidate at the University of Guelph, Canada. My research explores what people... |
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Ethics of Conservation Tech, Conservation Tech Training and Education, AI for Conservation | 2 months 2 weeks ago | |
Hi Amit,The most important thing is that the livestock owners contact you as soon as possible after finding the carcass. We commonly do two things if they contact us on the same... |
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Camera Traps, AI for Conservation, Conservation Tech Training and Education, Early Career, Human-Wildlife Conflict, Protected Area Management Tools | 2 months 3 weeks ago | |
Hi Danilo. you seem very passionate about this initiative which is a good start.It is an interesting coincidence that I am starting another project for the coral reefs in the... |
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Acoustics, AI for Conservation, Biologging, Camera Traps, Citizen Science, Climate Change, Community Base, Connectivity, Drones, Emerging Tech, Human-Wildlife Conflict, Open Source Solutions, Sensors, Software and Mobile Apps, Wildlife Crime | 2 months 4 weeks ago | |
Am working on similar AI challenge at the moment. Hoping to translate my workflow to wolves in future if needed. We all are little overstretched but it there is no pressing... |
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Camera Traps, AI for Conservation, Build Your Own Data Logger Community, Data management and processing tools, Marine Conservation, Protected Area Management Tools, Remote Sensing & GIS | 3 months ago |
Opportunity: GEO-Microsoft Planetary Computer Programme
4 November 2021 12:00am
EarthRanger Announces Inaugural Conservation Tech Award Recipients
3 November 2021 12:00am
Opportunity: PhD or Postdoctoral Research Fellowships - Chinstrap penguin biologging
1 November 2021 12:00am
Using IoT and Machine Learning to help protect Kenya's Rivers
21 October 2021 12:00am
Tech Tutors: How do I analyze large acoustic datasets using PAMGuard?
14 October 2021 3:42pm
How do I analyze large acoustic datasets using PAMGuard?
7 October 2021 12:00am
Call for Papers: Special Issue on Computer Vision Approach for Animal Tracking and Modeling
20 September 2021 12:00am
Tech Tutors: How do I use AI to fight wildlife crime?
1 September 2021 10:59pm
Which are major open challenges that AI can help to solve in nature conservation ?
28 April 2021 9:15am
13 August 2021 10:04pm
Elizabeth Bondi has work on detection from thermal imagery taken by drones! I'd look at her papers :)
27 August 2021 10:51am
Looks good, but what is the added value compared to other examples as Obsidentify and Plantnet?
AI/ML Engineer Job at Dryad
26 August 2021 2:45pm
Widening the Bottleneck: Can Citizen Science Accelerate Conservation?
19 August 2021 12:00am
Open positions in ML & conservation/climate sci
18 August 2021 2:22pm
Geo for Good Lightning Talks: Nature Conservation
17 August 2021 12:00am
Building Sustainable Support with Edge Impulse
13 August 2021 12:00am
Accessible Tech and Real Impact with the WILDLABS Fellowship: On the Edge
9 August 2021 12:00am
WILDLABS Community Call: August 12th
4 August 2021 12:00am
Tech Tutors: How do I get started with Wildlife Insights?
29 July 2021 12:04am
Wildlife Insights Launches
27 July 2021 12:00am
Tech Tutors: How do I get started with Megadetector?
22 July 2021 3:34pm
Opportunity: Lead an ML Workshop
21 July 2021 12:00am
How do I get started with Wildlife Insights?
19 July 2021 12:00am
How do I get started with Megadetector?
7 July 2021 12:00am
How do I choose the right camera trap(s) based on interests, goals, and species?
6 July 2021 12:00am
WILDLABS Tech Tutors: Season 3
6 July 2021 12:00am
BearID Featured: Artificial Intelligence & Other New Technology In Bear Research
1 July 2021 12:00am
PhDs (or MSc) in tech + nature conservation ?
28 April 2021 9:16am
26 May 2021 5:09pm
I think programming and machine learning are what I wish I did in uni the most. Particularly Python coding. Most biologists use R/Rstudio but Python is more popular in the tech world. And machine learning is taking over everything, conservation included, so it's definitely a high-demand skill.
26 May 2021 9:14pm
carlybatist, I can help with python. Is there anything you or people in your network may need help?
About ML - can you tell 3 main challenges you'd think as priority in conservation, that ML can be helpful ? Also, anything that also small NGOs may struggle to work on, due to limited budget / IT capacity, and so they may benefit from freelancers ? Large NGOs or international agencies will likely work with established companies. I'ìd like to know if there could be a niche were I can interact directly with NGOs and philantropic institutions, both for supporting with services, as well for listening to feedback to project proposals that could benefit from mutual collaborations (e.g. tech pilot + fundraising = startup and product iterations with lower costs).
Also, can you mention a few activities / roles that may offer both outdoor + analytics / tech skills ?
Piorirty is outdoor for me. But since I have a few tech skills and management skills, im trying to trade them!
26 May 2021 10:04pm
You should join the Key Conservation app, which connects people and NGO's for specific needs, whether funding, time, or skills (programming included). Organizations can list particular things they need and you can get day-to-day updates on progress.
In terms of how ML is used in conservation, it's mostly to process the large datasets yielded by conservation tech (camera traps, passive acoustics, biologging, remote sensing/GIS). Annotating detections (which pictures have animals, which species a call belongs to, where deforestation is happening through satellite imagery, etc.).
And lots of freelancing opportunities come up in Wildlabs - the community threads and the biweekly digest. Twitter is also great for finding those kinds of opportunities, search by relevant keywords or hashtags (e.g., #tech4wildlife). I would also start following conservation tech organizations on LinkedIn and Twitter or subscribing to their newsletters or listservs so you don't miss opportunities as they come up.
New Papers: Methods in Ecology and Evolution
23 April 2021 12:00am
New Papers: Remote Sensing in Ecology and Conservation
22 April 2021 12:00am
BirdCLEF 2021 Kaggle Challenge
19 April 2021 12:00am
Looking for animal emotions data for ML
17 March 2021 12:43pm
26 March 2021 4:06pm
There is a TON of research on ML algorithms for all this!
For facial rec-
BearID project - http://bearresearch.org/ (individual facial rec for grizzlies)
AnimalFACS (facial action coding system) - http://www.chimpfacs.com/ (the model started with chimps but they now have versions for orangutans, gibbons, macaques, dogs, cats, and horses)
A lot of the gesture/facial expression literature is focused on primates, particularly apes, so if you do a Google Scholar search on that, you'll loads of papers that have looked into this as well.
For vocals -
Carlson, N. V., Kelly, E. M., & Couzin, I. (2020). Individual vocal recognition across taxa: a review of the literature and a look into the future. Philosophical Transactions of the Royal Society B, 375(1802), 20190479.
Turesson, H. K., Ribeiro, S., Pereira, D. R., Papa, J. P., & de Albuquerque, V. H. C. (2016). Machine learning algorithms for automatic classification of marmoset vocalizations. PloS one, 11(9), e0163041.
Wijers, M., Trethowan, P., Du Preez, B., Chamaillé-Jammes, S., Loveridge, A. J., Macdonald, D. W., & Markham, A. (2020). Vocal discrimination of African lions and its potential for collar-free tracking. Bioacoustics, 1-19.
Clink, D. J., Crofoot, M. C., & Marshall, A. J. (2019). Application of a semi-automated vocal fingerprinting approach to monitor Bornean gibbon females in an experimentally fragmented landscape in Sabah, Malaysia. Bioacoustics, 28(3), 193-209.
Spillmann, B., van Schaik, C. P., Setia, T. M., & Sadjadi, S. O. (2017). Who shall I say is calling? Validation of a caller recognition procedure in Bornean flanged male orangutan (Pongo pygmaeus wurmbii) long calls. Bioacoustics, 26(2), 109-120.
Hantke, S., Cummins, N., & Schuller, B. (2018, April). What is my dog trying to tell me? The automatic recognition of the context and perceived emotion of dog barks. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5134-5138). IEEE.
Totakura, V., Janmanchi, M. K., Rajesh, D., & Hussan, M. T. (2020). Prediction of Animal Vocal Emotions Using Convolutional Neural Network. International Journal of Scientific & Technology Research, 9(2), 6007-6011.
Other -
Neethirajan, S., Reimert, I., & Kemp, B. (2021). Measuring Farm Animal Emotions—Sensor-Based Approaches. Sensors, 21(2), 553.
Hong, W., Kennedy, A., Burgos-Artizzu, X. P., Zelikowsky, M., Navonne, S. G., Perona, P., & Anderson, D. J. (2015). Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning. Proceedings of the National Academy of Sciences, 112(38), E5351-E5360.
26 March 2021 7:44pm
Thank you VERY much for that, Carly. I really appreciate it. I have only heard of the bear research project and was not aware of the others. This is very helpful.
FYI: Most studies I am aware of use ML with facial recognition software. I am interested to find out if there are recognition software/research for facial-gesture-voice-speech as this will be more accurate to read animals that have less elastic facial expressions than primates or humans.
4 August 2021 5:00pm
I would perhaps ask this in a new thread, so the rest of the community can see it! (as opposed to a reply here, where only the people in the conversation are notified of more replies).