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!
Cornell University
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Hello! My name is Anabelle Marques Klovrza and I am a Ph.D. student at Dawson's lab. I am studying community assembly of island-like environments, and in trying to connect it with the vulnerability and fragility of the ecosystem.
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I am nature lover and now lost the tolerance to just be an admirer watching its destruction. Hence joining this crew to contribute my supportive work much lesser than a penny worth
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Article
Using Swiss AI and Drones to Count African Wildlife
WILDLABS Team
After a promising first run in Namibia, a Swiss project could aid savanna conservation using drones and automatic image analysis.
18 February 2019
Article
Jacqueline Ramos explains how artificial intelligence can help to track and prevent chimpanzee trafficking across the globe.
6 February 2019
Article
The Open Data Institute and the Office for AI are partnering to explore how data trusts could help to solve environmental, societal and industry challenges by enabling increased access to data while retaining trust....
31 January 2019
Funding
The Ecosulis Rewilding Tech Challenge
Cain Blythe
With the aim of advancing rewildling-related technology in the UK and introducing new talent and ideas into the field of rewildling, Ecosulis is thrilled to announce the launch of their first ever Rewilding Tech...
14 January 2019
Article
Canopy cameras shed new light on monkey business in Brazil
WILDLABS Admin
A team of Brazilian biologists supported by the Conservation Leadership Programme (CLP) is unlocking the secrets of one of the world’s most fragile and threatened biodiversity hotspots thanks to the success of a...
22 November 2018
Article
Ted Schmitt joined us for a lunchtime lecture in which he shared his experiences working across Africa the past five years with protected area managers, anti-trafficking organisations, and scientists to effectively...
22 November 2018
Article
Machine learning is widely recognized as the solution to camera trap data processing, but a user-friendly and broadly-accessible system for putting this tech to use has not yet been developed. In this case study,...
1 October 2018
Article
In this case study, conservation ecologist Ayesha Tulloch takes us behind the scenes of her recent paper, which came out in Nature Ecology & Evolution earlier this month. In this paper, Ayesha and her team present a...
20 August 2018
Article
Thermal Sensor Project Update: Testing with live animals at the San Diego Zoo
Arribada Initiative
The winners of our Human Wildlife Conflict Tech Challenge are offering regular updates throughout the year to chronicle their failures, successes and what they learn along the way as they develop their solutions. In...
27 July 2018
Funding
$90K in grants from the Con X Tech Prize
WILDLABS Admin
Looking to prototype or pilot a new conservation tech idea or approach? Conservation X Labs is running an idea competition for teams to create a first draft (i.e. prototype) of their conservation solution. 20 finalists...
11 June 2018
Article
HWC Tech Challenge: Thermopile Sensor Project
Arribada Initiative
Conflict between humans and wildlife is increasing as human communities expand and wild habitats are destroyed, prompting need for new mitigation techniques. As a winner of the Human Wildlife Conflict Tech Challenge,...
19 April 2018
Article
#Tech4Wildlife Photo Challenge 2018: Our Top 10
WILDLABS Team
Hundreds of people joined our #Tech4Wildlife photo challenge this year, showcasing all the incredible ways tech is being used to support wildlife conservation. We've seen proximity loggers on Tasmanian Devils in...
3 March 2018
June 2025
event
Nalini
July 2025
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Lacey Hughey and 3 more
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| Description | Activity | Replies | Groups | Updated |
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| Odor based methods would be interesting. Provided they didn't need to be replenished too often.We find varied stimulus prevents habituation. |
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AI for Conservation, Conservation Tech Training and Education, Emerging Tech, Human-Wildlife Conflict | 8 months ago | |
| Thank you John. |
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AI for Conservation | 8 months ago | |
| Hello everyone!Check out our new paper on "Reliable and efficient integration of AI into camera traps for smart wildlife monitoring." We... |
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AI for Conservation | 8 months 1 week ago | |
| Hi Karen,Yeah the discharge curves of lithium cells tend to be very stable for a long time and then drop sharply at the end. Akiba and Brett's advice below re: condensation... |
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Camera Traps, AI for Conservation | 8 months 2 weeks ago | |
| Hi @benweinstein !Surely a general detector might be very useful for detecting objects in aerial imagery! Maybe something similar to what MegaDetector does in camera trap images,... |
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AI for Conservation, Open Source Solutions, Protected Area Management Tools, Drones, Geospatial | 8 months 2 weeks ago | |
| Thank you!! |
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AI for Conservation | 8 months 3 weeks ago | |
| Agreed. I have recently begun using SegmentAnything as a replacement for Detectron and have been very pleased. However, for a fish school I don't know how well it would do out of... |
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Data management and processing tools, AI for Conservation | 9 months 1 week ago | |
| @DibblexLesalon looks like a great question for your team at Expert Drones Africa :) |
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AI for Conservation | 9 months 1 week ago | |
| However, I think it's important to reflect further to determine exactly what needs to be done. |
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Climate Change, AI for Conservation, Animal Movement, Citizen Science | 9 months 2 weeks ago | |
| Congrats on the publication! Great work! |
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AI for Conservation | 9 months 2 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 2 weeks ago | |
| I found this interesting |
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AI for Conservation, Emerging Tech | 9 months 2 weeks ago |
