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!
Passionate about wildlife and impact investment with an academic, research and practitioner background in environmental science, environmental law and green criminology pursued in Central America, China, Tanzania and the United Kingdom I am driven to decolonise the research on c
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Cornell University
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Fauna & Flora
Remote Sensing Scientist
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- @Rob_Appleby
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Wild Spy
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Swedish University of Agricultural Sciences
Postdoctoral researcher at Swedish University of Agricultural Sciences
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Junior Researcher at Humboldt Institute
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- @NightLife
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Student researcher at the University of Wisconsin - Madison, specializing in the development of automated insect monitoring systems. Our current project integrates computer vision technology to accurately classify insects, aiming to push forward entomological research.
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Faculty Manager for Higher Education. Lecturer in Animal Behaviour, Animal Welfare and Wildlife Conservation
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- @GermanFore
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Biologist and Ecologist, with experience in wildlife conservation and monitoring in South America. Interested in technologies for conservation. Current Science Director for WCS Colombia and Senior Conservation Scientist WCS Andes, Amazon, Orinoco Region.
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Tanzania Wildlife Research Institute (TAWIRI)
Conservation biologist based in Tanzania
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I am a ecologist and conservationist particularly excited about tech to aid biodiversity monitoring with a growing interest in analytics and AI. I am also a Project Manager at Rainforest Connection.
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- @TaliaSpeaker
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WILDLABS & World Wide Fund for Nature/ World Wildlife Fund (WWF)
I'm the WILDLABS Research Specialist at WWF-US
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November 2023
Apply for the Google for Startups Accelerator: Climate Change Middle East & Africa Program
9 June 2023 1:54pm
Celebrating World Oceans Day: Revitalizing the marine ecosystem with technology-driven engineered reefs to accelerate CO2 capture
9 June 2023 10:14am
As we celebrate World Oceans Day this month, we are reminded that addressing climate change will take more than any one organization. It will require companies, governments, NGOs and communities, all working together, with the aid of technology, to improve the efficiencies of our activities and operations and to reduce costs, waste and emissions. Such an example is IBM and The Reef Company recently joining forces signing a joint initiative agreement aimed at bolstering their ocean conservation endeavors.
Celebrating World Oceans Day: Revitalizing the marine ecosystem with technology-driven engineered reefs to accelerate CO2 capture
Coral reefs play a vital role in sustaining marine life, capturing CO2 and mitigating the effects of global warming. Technology can help.
Imageomics Institute Image Datapalooza, August 2023
2 June 2023 11:44pm
ISO Speakers for Emerging Technologies class.
31 May 2023 4:29pm
2 June 2023 2:08pm
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!
10 AI for the Planet Projects you should be excited about
25 May 2023 11:07am
Looking for AI volunteer positions
24 May 2023 5:41am
24 May 2023 3:45pm
Hi Donya! You might check out the Conservation Tech Directory to see what projects/organizations/tools best align with your interests and skills.
Director of Research
Mbaza AI recognized by UNESCO & new team member
17 May 2023 8:49pm
Happywhale: AI-Powered Whale Identification
Happywhale
16 May 2023 10:00am
Lecturer/Associate Professor of Ecology and Innovative Technologies
UCL
16 May 2023 9:25am
Deadline Approaching: Conservation Tech Award
15 May 2023 10:21pm
Photo Quadrats, AI, and MERMAID: A Case Study from Mozambique
12 May 2023 3:44pm
AI for Conservation Office Hours: 2023 Review
Jake Burton
11 May 2023 10:00am
Crowdsourcing individual ID for pop dyn?
1 May 2023 5:36pm
5 May 2023 6:15pm
That sounds like a really neat project! Do fish get re-caught often enough that individual ID is useful? Is sample bias (more data from popular spots) an issue?
GRO is the story of what on Earth is going on
5 May 2023 1:50pm
Using computer vision to understand bee vision
5 May 2023 1:10am
Here's an innovative project from the Harvey Mudd College Bee Lab that could help us understand how bees view their environments, and thus better protect bee habitat. This project uses computer vision and drone imagery to replicate "bee vision" of flowers and how it differs from a human's view of the same habitat.
How can you tell if a photo is AI generated? Here are some tips.
29 April 2023 3:35pm
EarthRanger User Conference
27 April 2023 5:52am
Looking to contribute
27 April 2023 2:41am
Artificial Intelligence and Conservation: Closing Session
26 April 2023 8:54pm
Artificial Intelligence and Conservation with Lily Xu
26 April 2023 8:41pm
WWF's recent Fuller Seminar Series on Artificial Intelligence and Conservation featured some familiar faces from the WILDLABS community, including our past Tech Tutor Lily Xu! Check out her presentation talking about AI-based causal reasoning and how it can be applied to conservation challenges.
AI Animal Identification Models
30 March 2023 5:01am
20 April 2023 12:53am
Thanks Dan, that is very helpful. No zebras here but I did see four deer wandering through the streets this morning. Quite wild at times here!
I am totally willing to try an image classifier if it reports multiple objects it identifies in a scene. I will give this a go.
I think 1 fps would be quite acceptable actually, and in some perspective actually advantageous in reducing how much data is getting logged.
I tried upgrading my existing object detector model to YOLOv8 following the links you sent, but I don't think it is possible to upgrade the model on the framework I'm using (ml5js) so I think I will have to try a different framework.
Thank you.
25 April 2023 2:08pm
Hi David
It appears that you have been looking for existing models, however, most existing models are trained on either COCO or some other very generic dataset. So, if you want to identify just animals, you may be better off training your own model. It seems no one in this thread mentioned yet that it is possible to do transfer learning on existing models, which keeps most of the "visual part" of the model as is, but just changes the classification part so it can identify other things. This way you can take an existing model trained on COCO and in a fraction of the time it takes to train a full model, just retrain that for your animals.
Also have a look at your requirements for the inferencing stage. Some models take long in training but are superfast in inference and others are slow in both cases but very accurate, etc. If you want semi-realtime inferencing, you are probably looking at single shot detectors (SSD), and not RCNNs.
26 April 2023 7:34pm
Thanks Bas! I'll look into SSD vs RCNNs, I'd never heard of an SSD.
Feathered forecast: Tech tools comb weather data for bird migrations
26 April 2023 2:50pm
Since its launch in 1999, the BirdCast project has used weather radar data to track and forecast bird migrations across the U.S. In recent years, technology such as cloud computing and machine learning have helped make the work of researchers in the project easier and more automated. The BirdCast project is now working on integrating radar data with human observations and bioacoustics to help identify the bird species traversing the skies.
Congo Basin activity?
30 March 2023 9:14pm
25 April 2023 5:08pm
greetings!
i sent you a PM regarding this, feel free to contact me however is most convenient for you -
regards,
chris
Looking for entry level remote role in GIS/environmental analysis in the United States
22 April 2023 12:05am
Catch up with The Variety Hour: April
21 April 2023 10:42am
Call for survey participants (AI/ML practitioners)
19 April 2023 3:17pm
Camera traps, AI, and Ecology
14 April 2023 10:08am
7 June 2023 9:42am
1 August 2023 10:46am
1 September 2023 8:06am
31 May 2023 10:21pm
Definitely interested! I'm in the ecoacoustics/acoustic monitoring space, working at Rainforest Connection and Arbimon.