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. The AI for Conservation group provides a dedicated space to:
- Bridge disciplines: Create a space where ecologists, conservationists and environmental scientists can connect with computer scientists, artificial intelligence researchers and practitioners to address shared challenges.
- Advance knowledge: Share and discuss research, case studies and best practices at the intersection of artificial intelligence and conservation.
- Education: Provide educational resources that help ecologists understand AI methods and their use cases and inspire AI experts to learn about ecological applications.
- Facilitate collaboration: Offer resources and networking opportunities that enable AI researchers and conservation practitioners to co-develop solutions with real-world conservation impact.
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!
Group curators
- @annavallery
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Seabird biologist experienced in research and applied conservation. Dedicated to conducting and using innovative research to inform conservation decisions.


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- @ViktorDo
- | he/him
PhD student at University of Exeter & University of Queensland. Interested in researching AI and its responsible application to Ecology, Environmental Monitoring and Nature Conservation.

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No showcases have been added to this group yet.
- @sarthakvarora
- | he/any
Sustainability and Computer Vision
- 0 Resources
- 0 Discussions
- 7 Groups
- @MandyEyrich
- | She/Her
University of Florida (UF)
Bridging industries with 15+ years of cross-sector expertise specializing in user-centric technology and product strategy, UX research, UX/UI design, process optimization, and end-to-end agile product development moving from ideation to iteration.
- 0 Resources
- 0 Discussions
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- @ece_zen
- | she/her
Computer scientist
- 0 Resources
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- 5 Groups
Full stack engineer focused on AI/ML. I have bench experience in developmental biology and am especially interested in applying machine learning to real-world problems in ecology and conservation
- 0 Resources
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- 1 Groups
- @santhosh
- | he/him/his
Leads Technology for Conservation programme at The Habitats Trust
- 0 Resources
- 3 Discussions
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- @jasminedaly
- | she/her/hers
Principal Consultant & Founder of Daly Analytics which helps nonprofits and purpose-driven teams make sense of their data.

- 0 Resources
- 1 Discussions
- 6 Groups
- @lhughey
- | she/her
Smithsonian Conservation Biology Institute
I am an ecologist and program manager with experience leading collaborative research projects in international settings. I specialize in the application of animal tracking data to conserve migratory species on a changing planet.



- 6 Resources
- 10 Discussions
- 3 Groups
- @KellyFaller
- | she/her/hers
Rutgers University
Lead Estuary Science Coordinator at the Partnership for the Delaware Estuary and Masters Student at Rutgers University in the Department of Ecology and Evolution. Using bioacoustics in tidal marsh ecosystems for restoration and conservation.

- 0 Resources
- 4 Discussions
- 14 Groups
Sustainability Manager for CERES Tag LTD. An animal health company; animal monitoring, conservation, & anti-poaching/ rural crime. Wildlife, livestock, equine & companion. #CeresTrace #CeresWild #CeresRanch





- 2 Resources
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- @SimonsVictor
- | Marsha
I'm passionate about wildlife and animal management on development of conservation strategies for a long time monitoring
- 0 Resources
- 0 Discussions
- 8 Groups
Universidad San Francisco de Quito
Biologist/Professor focusing on carnivore conservation in Ecuador
- 0 Resources
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- 11 Groups
- @serena.le
- | she/her
Conservation tech enthusiast
- 0 Resources
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- 24 Groups
El Instituto Humboldt está buscando un(a) Desarrollador(a) de Inteligencia Artificial que quiera aplicar su experiencia en Python y procesamiento de lenguaje natural para proteger la biodiversidad.
25 July 2025
The Marine Innovation Lab for Leading-edge Oceanography develops hardware and software to expand the ocean observing network and for the sustainable management of natural resources. For Fall 2026, we are actively...
24 July 2025
Dear colleagues, I'd like to share with you the output of the project KIEBIDS, which focused on using AI to extract biodiversity-relevant information from museum labels. Perhaps it can be applied also to other written...
17 July 2025
The Department of AI and Society (AIS) at the University at Buffalo (UB) invites candidates to apply for multiple positions as Assistant Professor, Associate Professor, or Full Professor. The new AIS department was...
8 July 2025
This is a chance to participate in a short survey about the preferences that conservation practitioners have for evidence. There's a chance to win one of three £20 Mastercard gift cards.
24 June 2025
In this case, you’ll explore how the BoutScout project is improving avian behavioural research through deep learning—without relying on images or video. By combining dataloggers, open-source hardware, and a powerful...
24 June 2025
Using Ultra-High-Resolution Drone Imagery and Deep Learning to quantify the impact of avian influenza on northern gannet colony of Bass Rock, Scotland. Would love to hear if you know of any other similar exaples from...
12 June 2025
La Universidad de Ingeniería y Tecnología (UTEC) está buscando cubrir nuevas vacantes en su Instituto Amazónico de Investigación para la Sostenibilidad (ASRI).
12 June 2025
Shared from WWF: "ManglarIA is a mangrove conservation project, supported by Google.org in 2023, that is deploying advanced technology, including artificial intelligence (AI), to collect and analyze data on the health...
12 June 2025
Careers
Rewilding Europe is seeking a Business Intelligence Analyst to support measuring rewilding impact through data automation, dashboards, and cross-domain analysis.
3 June 2025
The intern will support CI in exploring and implementing AI solutions that address conservation challenges. We are looking for someone familiar with modern AI technologies (genAI, AI agents, LLMs, foundation models, etc...
2 June 2025
HawkEars is a deep learning model designed specifically to recognize the calls of 328 Canadian bird species and 13 amphibians.
13 May 2025
September 2025
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Description | Activity | Replies | Groups | Updated |
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Hello everyone,I’ve been running a set of trail cameras for several months and now have thousands of images showing consistent activity... |
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Camera Traps, AI for Conservation, Animal Movement | 13 minutes 41 seconds ago | |
Hello WildLabs community,Here's an update on our progress with the AI-based marine mammal sound detection platform.What We've AccomplishedWe've completed our first milestone:... |
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Acoustics, AI for Conservation, Marine Conservation | 58 minutes 38 seconds ago | |
hi chad, its great to hear from you_its really a great idea and impactful journey in our community having experience in community-led conservation initiatives, working... |
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Acoustics, AI for Conservation, Animal Movement, Camera Traps, Citizen Science, Climate Change, Community Base, Connectivity, Drones, eDNA & Genomics, Emerging Tech, Funding and Finance, Geospatial, Human-Wildlife Coexistence, Software Development, Wildlife Crime | 1 day 5 hours ago | |
Hi everyone :)I’ll be in Kinshasa, DRC from 22 to 27 September as part of the AFRISTART program (Qawafel/RedStart Tunisie), which supports... |
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AI for Conservation, Community Base, East Africa Community, Edge Computing | 1 day 7 hours ago | |
We sell a product that includes the model, but we don't have a freely downloadable model for that purpose. You could try pytorch wildlife or speciesnet for a version to compare... |
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AI for Conservation, Camera Traps, Edge Computing | 6 days 1 hour ago | |
in the last 3 months we hosted allander hobbs, an under graduated student from the university of edinbrugh, UK .during his interactive... |
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AI for Conservation, Animal Movement, Autonomous Camera Traps for Insects, Citizen Science | 6 days 1 hour ago | |
Thanks for the informative videos ... wondered if anyone had recommendations for best IR PoE camera for monitoring wildlife at nighttime? my setup is to stream to a frigate server... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps, Edge Computing | 1 week ago | |
Hi Youssef,Yes I've been following along and am looking forward to this group!Feel free to share whatever! |
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AI for Conservation, Camera Traps, Edge Computing | 1 week 1 day ago | |
Hey Alejandro, thanks for trying it! :))The feature you are asking about is called in technical language - animal re-identification. Unfortunately, we currently don't have this... |
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AI for Conservation, Camera Traps, Data Management & Mobilisation, Software Development | 1 week 4 days ago | |
Very inspiring! I completely agree that AI should help free conservationists from repetitive tasks so they can focus on strategy and fieldwork. In our IDEPROCONA project in... |
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AI for Conservation | 1 week 6 days ago | |
I create ocean exploration and marine life content on YouTube, whether it be recording nautilus on BRUVs, swimming with endangered bowmouth... |
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Acoustics, AI for Conservation, Animal Movement, Camera Traps, Citizen Science, Drones, Emerging Tech, Marine Conservation, Sensors, Sustainable Fishing Challenges, Wildlife Crime | 2 months ago | |
I think it is time for exploring many AI s application around our careers and projects. With waste management too! this is also very interesting |
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AI for Conservation | 2 weeks ago |
Using "motion extraction" for animal identification
16 January 2024 3:46pm
17 January 2024 5:16am
You are most welcome.
I can only highly recommend joining the online events! They are really inspiring.
- and it is great to "meet" and chat with fellow WildLabbers during the "after hours".
17 January 2024 4:22pm
Very nice video in the link you posted btw:
Here is another less artistic one:
Salesforce Accelerator: AI for Climate
16 January 2024 10:15am
Two year postdoc - Machine Learning & Bioacoustics
16 January 2024 7:49am
Wildlife Conservation for "Dummies"
9 January 2024 10:02pm
10 January 2024 11:24pm
Maybe this is obvious, but maybe it's so obvious that you could easily forget to include this in your list of recommendations: encourage them to hang out here on WILDLABS! I say that in all seriousness: if you get some great responses here and compile them into a list, it would be easy to forget the fact that you came to WILDLABS to get those responses.
I get questions like this frequently, and my recommended entry points are always (1) attend the WILDLABS Variety Hour series, (2) lurk on WILDLABS.net, and (3) if they express a specific interest in AI, lurk on the AI for Conservation Slack.
I usually also recommend that folks visit the Work on Climate Slack and - if they live in a major city - to attend one of the in-person Work on Climate events. You'll see relatively little conservation talk there, but conservation tech is just a small subset of sustainability tech, and for a new person in the field, if they're interested in environmental sustainability, even if they're a bit more interested in conservation than in other aspects of sustainability, the sheer number of opportunities in non-conservation-related climate tech may help them get their hands dirty more quickly than in conservation specifically, especially if they're looking to make a full-time career transition. But of course, I'd rather have everyone working on conservation!
13 January 2024 3:14am
Some good overview papers I'd recommend include:
- Besson, M., Alison, J., Bjerge, K., Gorochowski, T. E., Høye, T. T., Jucker, T., ... & Clements, C. F. (2022). Towards the fully automated monitoring of ecological communities. Ecology Letters, 25(12), 2753-2775.
- Speaker, T., O'Donnell, S., Wittemyer, G., Bruyere, B., Loucks, C., Dancer, A., ... & Solomon, J. (2022). A global community‐sourced assessment of the state of conservation technology. Conservation Biology, 36(3), e13871.
- WILDLABS-led research! Led by @TaliaSpeaker and @StephODonnell
- Lahoz-Monfort, J. J., & Magrath, M. J. (2021). A comprehensive overview of technologies for species and habitat monitoring and conservation. BioScience, 71(10), 1038-1062.
- Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., ... & Berger-Wolf, T. (2022). Perspectives in machine learning for wildlife conservation. Nature communications, 13(1), 792.
- Stowell, D. (2022). Computational bioacoustics with deep learning: a review and roadmap. PeerJ, 10, e13152.
- I'm biased towards bioacoustics because that's what I focus on, but this regardless this is an excellent horizon scan of AI/ML for conservation and acoustics!
- Borowiec, M. L., Dikow, R. B., Frandsen, P. B., McKeeken, A., Valentini, G., & White, A. E. (2022). Deep learning as a tool for ecology and evolution. Methods in Ecology and Evolution, 13(8), 1640-1660.
I'd also encourage you to follow the #tech4wildlife hashtags on social media!
15 January 2024 4:27pm
I'm also here for this. This is my first comment... I've been lurking for a while.
I have 20 years of professional knowledge in design, with the bulk of that being software design. I also have a keen interest in wildlife. I've never really combined the two; and I'm starting to feel like that is a waste. I have a lot to contribute. The loss of biodiversity is terrifying me. So I’m making a plan that in 2024 I’m going to combine both.
However, if I’m honest with you – I struggle with where to start. There are such vast amounts of information out there I find myself jumping all over the place. A lot of it is highly scientific, which is great – but I do not have a science background.
As suggested by the post title.. a “Wildlife Conservation for Dummies” would be exactly what I am looking for. Because in this case I’m happy to admit I am a complete dummy.
Application of a deep learning image classifier for identification of Amazonian fishes
11 January 2024 8:24pm
HWC Tech Challenge update 2020
Presentation opportunity: Text analysis for conservation (NACCB 2024)
8 January 2024 4:05pm
Tranforming Conservation Together: Highlights from the 2023 EarthRanger User Conference
2 January 2024 10:11pm
10 January 2024 5:23am
14 January 2024 3:06am
15 January 2024 9:54pm
AI to operate Wildlife Passage Gates
11 December 2023 4:17pm
22 December 2023 2:02pm
In this case, I would use BLE proximity - enough and accurate range, low cost, long battery life, no false positives - KISS ;)
22 December 2023 2:25pm
Aaah, this article suggests that RFID can be used for much greater distances so looks like RFID still remains the best choice.
22 December 2023 4:20pm
BTW. I found out that the Jetson Orin NX 16GB module is drawing around 20W when running continuous inference, processing streams from 6x cameras at 6 fps.
I'll try and find out what you can do with a Pi 5 and a smaller model over Christmas.
Semi-automated prediction of behavioral states in wild understudied King vultures (Sarcoramphus papa)
20 December 2023 1:34pm
Hydromoth for coastal & offshore surveying
16 November 2023 7:36am
18 November 2023 1:47am
Hi Sol,
I think your concern is well placed. The pros typically tow an array of hydrophones, in its simpler configuration it looks like a long fat rubber hose containing maybe a dozen transducers feeding their electrical signals to a recording unit back on the ship. All this is done to reduce noise from the ship, from waves crashing, and flow noise. The multiple transducers can also be electronically tuned to be directional so that it can be "pointed" away from a noise source (like the ship).
In your position, I would just try the simplest thing that could work, then fix the problems as they arise. It could be you may need to be dead in the water while recording. To address surface noise (slapping waves, wind), you could mount the hydromoth low down on a spar buoy, which you tow into position.
Best of luck, it sounds like an interesting project (c:
19 December 2023 2:20pm
Hydromoths are great for the price but they do not have the most streamlined housing and audio quality won't be as good as something like a SoundTrap or really any recorder with a proper hydrophone and 16-bit +DAQ system.
If you can afford it, this is an excellent SoundTrap based towed autonomous system NOAA have been using. It might work towed behind an autonomous vehicle
Alternatively, if you can have something inside the vehicle, a simple tape recorder (e.g. Tascam DR40X) and hydrophone on cable will provide excellent sound quality. You could also use something like a Raspberry Pi with audio focussed ADC hat to record but that would require a bit more programming. Even consider a standard AudioMoth and plug a proper hydrophone into the audio jack - this would still have a 12-bit ADC but would provide better sound quality than a hydromoth (hydrophones are more omnidirectional and there's no air filled causing reflections and attenuation)
20 December 2023 6:57am
If you are considering an external microphone and a towed system, then you would also be in a position to consider a raspberry pi with an external microphone with sbts-aru. Another option:
GitHub - hcfman/sbts-aru: Low cost Raspberry Pi sound localizing portable Autonomous Recording Unit (ARU)
Low cost Raspberry Pi sound localizing portable Autonomous Recording Unit (ARU) - hcfman/sbts-aru
13th International Conference on Climate Informatics
18 December 2023 12:20pm
Grant for AI for biodiversity workshops (Latin America-Germany cooperations)
16 December 2023 6:27am
19 December 2023 2:55pm
How polar bears and people are kept safe thanks to integrated video and radar system
15 December 2023 12:22pm
Bear-dar: Updates from the Field
15 December 2023 11:58am
Update on SEE Shell App to identify illegal tortoiseshell products
14 December 2023 10:00pm
Come for the trees and geese, stay for the AI: using computer vision for urban forestry and wildlife monitoring
13 December 2023 5:58pm
Benchmarking behavior classification of bio-logger data
13 December 2023 5:44pm
Project support officer - Conservation Tech
11 December 2023 10:24pm
Data Viz Inspo for the Holidays
11 December 2023 8:42pm
Is anyone or platform supporting ML for camera trap video processing (id-ing jaguar)?
27 November 2023 10:49am
7 December 2023 12:42pm
Hey there community! Im new here and looking after lots of answers too! ;-)
We are searching aswell for the most ideal App / AI technology to ID different cats, but also other mammals if possible
- Panthera onca
- Leopardus wiedii
- Leopardus pardalis
and if possible:
- Puma concolor
- Puma yagouaroundi
- Leopardus colocolo
- Tapirus terrestris
Every recommendation is very welcome, thanks!
Sam
7 December 2023 2:31pm
Is this from camera trap images? Videos? Wildlife Insights is great! It uses Megadetector as a first pass to filter out empty images (those without animals), which you can also just use on its own. If you want to do individual re-ID, you can use Wildme. And as I mentioned previously in the comments, Zamba Cloud can work with videos. Conservation AI is another player in the game as well.
11 December 2023 1:38pm
Also, take a look at TrapTagger. It has integration with WildMe.
Trailguard AI cameras used for reducing human-wildlife conflict in India
9 December 2023 10:56pm
Two-year postdoc in AI and remote sensing for citizen-science pollinator monitoring
4 December 2023 12:21pm
WILDLABS Awards 2024: Supporting accessible, affordable, and effective innovation for nature
1 December 2023 11:00am
AI Earth: Using AI to tackle Climate Change
27 November 2023 10:16am
AWMS Conference 2023
Catch up with The Variety Hour: November 2023
16 November 2023 12:59pm
Software Engineer at Rainforest Connection & Arbimon
14 November 2023 12:30am
Seeking Advice for Biodiversity Methodology
10 November 2023 3:58pm
Insight; a secure online platform designed for sharing experiences of conservation tool use.
7 November 2023 1:01pm
17 January 2024 2:54am
Hi Dhanu,
Our group moved to Wildlife Insights a few years back (for a few reasons but mostly ease of data upload/annotation by multiple users) so I haven't tried EcoAssist. This being said, I will look into it as a pre-WildlifeInsights filter to analyze the tens of thousands of images that get recorded when camera traps start to fail, or get confused with sun spots (which can be common at one of our sites, a south-facing slope with sparse canopy cover).
Thanks for sharing!