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!
- @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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- @mdorigo
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- @stefan_istrate
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Machine Learning Researcher & Nature Photographer. Building conservation tech for biodiversity monitoring at Wildlife Insights.


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Society for Conservation GIS


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In this article, Fulbright Scholar and National Geographic Explorer Kasim Rafiq discusses the potential to efficiently conduct wildlife surveys using cameras mounted to safari vehicles, as well as the workflow and AI...
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Today, Sustainable Fishing Challenges group leader Daniel Steadman discusses how fishing gear itself could benefit from fresh technological innovations to prevent both environmental damage and damage to species and...
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Funding
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This exciting news article about The Global Wetland Project's FishID platform discusses the latest improvements and developments in using deep learning to identify individual fish species underwater. In addition to...
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In this article from BearID Project, Director and Software Developer Ed Miller walks us through using their application to identify individual bears from photographs. Ed shows us how to easily use BearID remotely in the...
21 July 2020
Put your acoustic monitoring skills to the test in The Cornell Lab of Ornithology's Birdsong Identification Kaggle Competition. Participants will compete to identify as many bird vocalizations as possible in in...
8 July 2020
Conservation technology largely consists of two categories: tools to monitor and study wildlife and their habitats, and solutions to mitigate or prevent negative human impacts. The fight against poaching in particular...
4 June 2020
A couple months ago, we introduced you to the Footprint Identification Technique (FIT), a non-invasive way to build an identification algorithm from both wild and captive animals by photographing footprints. Today, we'...
3 June 2020
Funding
The 2020 Hackaday Prize competition has begun! This year, Conservation X Labs has partnered with the Hackaday Prizes as one of four nonprofits seeking tech-based solutions to urgent challenges. Conservation X Labs'...
26 May 2020
Article
We're excited to welcome the WildTrack FIT group to our community! Today, we'd like to introduce you to the Footprint Identification Technique (FIT) and share how you can incorporate this tracking method into your field...
6 May 2020
Funding
Want to compete in the iWildCam 2020 competition identifying species in camera trap images to support biodiversity monitoring efforts and automatic species classification model improvements? Because the Workshop on Fine...
4 May 2020
The 2020 Arm Research Summit is accepting submissions from all research disciplines focusing on the role of technology in solving global challenges. Submissions should reflect the potential of sustainable, secure, and...
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Description | Activity | Replies | Groups | Updated |
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@DibblexLesalon looks like a great question for your team at Expert Drones Africa :) |
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AI for Conservation | 9 months 3 weeks ago | |
However, I think it's important to reflect further to determine exactly what needs to be done. |
+8
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Climate Change, AI for Conservation, Animal Movement, Citizen Science | 9 months 3 weeks ago | |
Congrats on the publication! Great work! |
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AI for Conservation | 9 months 3 weeks ago | |
The German start-up Dryad is also working on early fire detection using sensors and AI. |
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AI for Conservation | 9 months 3 weeks ago | |
I found this interesting |
+48
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AI for Conservation, Emerging Tech | 9 months 3 weeks ago | |
Really interesting, I will take a look |
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AI for Conservation, Camera Traps, Data management and processing tools, Emerging Tech | 9 months 4 weeks ago | |
Great new!! |
+15
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AI for Conservation | 9 months 4 weeks ago | |
Hi Carly, thank you for the advice! I am only focusing on the two birds for now - my goal is to use part of the iNaturalist data I have pulled to train the model and the rest to... |
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AI for Conservation | 9 months 4 weeks ago | |
Thank you so much! Now everything is in the hands of amazing organizations and companies! But the first results of the Disaster Management cohort are bringing a very optimistic... |
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AI for Conservation, Climate Change, Early Career, East Africa Community, eDNA & Genomics, Emerging Tech, Ending Wildlife Trafficking Online, Human-Wildlife Conflict, Open Source Solutions | 10 months ago | |
great! |
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AI for Conservation | 10 months ago | |
interesting!!! |
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AI for Conservation, Animal Movement, Data management and processing tools | 10 months ago | |
so great!!! |
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Software Development, AI for Conservation, Animal Movement | 10 months ago |
DeepFaune: a software for AI-based identification of mammals in camera-trap pictures and videos
14 July 2023 3:14pm
25 October 2023 8:57am
That's a very interesting question and use case (I'm not from deepfaune). I'm playing with this at the moment and intend to integrate it into my other security software that can capture and send video alerts. I should have this working within a few weeks I think.
The structure of that software is that it is two stage, the first stage identifies that there is an animal and it's bounding box and then there's a classification stage. I intend to merge the two stages so that it behaves like a yolo model so that the output is bounding boxes as well as what type of animal it is.
However, my security software can cascade models. So if you were able to train a single stage classifier that identifies your particular bears, then you could cascade all of these models in my software to generate an alert with a video saying which bear it was.
4 November 2023 4:51am
Hi @GermanFore ,
I work with the BearID Project on individual identification of brown bears from faces. More recently we worked on face detection across all bear species and ran some tests with identifying Andean bears. You can find details in the paper I linked below. We plan to do more work with Andean bears in 2024.
I would love to connect with you. I'll send you a message with my email address.
Regards,
Ed
Multispecies facial detection for individual identification of wildlife: a case study across ursids | Mammalian Biology
To address biodiversity decline in the era of big data, replicable methods of data processing are needed. Automated methods of individual identification (I
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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 in panama. The conservation project is happening already, but hubert starts on the ground work in January and im working on a V3 of our open source automated insect monitoring box to have ready for him by then.
I guess my main question would be if this funding call is appropriate/interested for this type of project? and what types of assistance are possible through this type of funding (researchers? design time? materials? laboratory field construction)
24 October 2023 8:46pm
Hello to all, new to this group. This is very exciting technology. can it work for ID of individual animals? we are interested in Ai for identifying individual jaguars (spots) and andean Bears (face characteristics). Any recommendation? contact? thanks!
German