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!
No showcases have been added to this group yet.
Data Scientist, AI/ML Consultant, Co-Founder of Proactive Intelligence
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I am a biologist who is currently studying for a master's degree in Natural Resources and Environmental Management Sciences, IPB University. In terms of biology, I have passionated in community development and wildlife conservation.
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A chemist by training and enthusiast about the environment by nature. Currently finishing my PhD where I was lucky to merge several of my passions such as programming, data analysis, aquatic ecology and analytical chemistry.
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- @limburan
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Bat Conservation Trust
Research Scientist at Bat Conservation Trust
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Wildlife Protection Solutions (WPS)
Software Engineer in Conservation Tech
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- @Eldogk7
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Hardware engineer with 10+ years in IoT & drones, and 4 years in AI, dedicated to sustainability. Developed the world’s first AI soil nutrition sensor & a mine-detecting drone for the Indian Army. As Abhram’s Founder & CEO, I innovate with smart soil sensors & IoT weather station
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- @Janny_gonzalezs
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Biology student at Universidad de los Andes | Working in Passive Acoustic Monitoring of birds using autonomous recording units in Colombia's Natural Reserves
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Ecologist specializing in birds. I am an educator at an American university and also a researcher in Peru
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Remote Sensing Surveyor with interest in GIS, data science and bioacoustics.
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- @jivelasquezt
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Science Director for Audubon Americas | Using biodiversity informatics and data science to drive conservation decisions | Conservation planning, SDMs, GIS & RS| Bioacoustics enthusiast
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Universidade Federal de Santa Catarina (UFSC)
Assistant professor at the Federal University of Santa Catarina (Brazil). Main research interests: autonomous AI-based systems.
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Article
The recent Ramsar Conference in Victoria Falls, Zimbabwe, underscored the critical importance of wetland conservation and the need for innovative solutions to protect these vital ecosystems.
16 August 2025
Funding
The AI for Climate Resilience Program is a new initiative by Klarna that aims to support pioneering projects that leverage artificial intelligence for climate adaptation in underserved, climate-vulnerable regions.
6 August 2025
Article
AI for Conservation Office Hours: 2025 Review
Jake Burton and 1 more
Read about the advice provided by AI specialists in AI Conservation Office Hours 2025 earlier this year and reflect on how this helped projects so far.
6 August 2025
Careers
If you're a Post-Doctoral Fellow, a PhD student, or a member of the research staff interested in applying your computational skills to support active research publications, please read on to learn about the Cross-...
5 August 2025
Careers
If you're a PhD student, post-doc, advisor, or marine expert - Plan Vivo is looking for you!
5 August 2025
A free, self-paced course series for nonprofit professionals is available through August 31.
31 July 2025
Link
GeoCroissant Survey
Alex Rood
The GeoCroissant team is conducting a short survey (5–10 minutes) to better understand user needs and preferences around geospatial metadata in machine learning. Your input will support the development of an open...
28 July 2025
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PhD position AI for coral reefs
Alex Rood
This role will investigate the potential of large-scale deep learning models, for constructing 3D models of coral reefs
28 July 2025
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Leveraging AI & Big Data For Love Of The Environment
Robert Chonge
🔥 Excited to join the WILDLAB community! I’m Robert Chonge — a Full Stack Developer with a passion for AI and Big Data, now channeling that tech firepower toward environmental conservation.Let’s turn data into action...
26 July 2025
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Búsqueda de desarrollador de IA - Instituto Humboldt
Vanesa Reyes
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
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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
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Ginevra Bellini
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
August 2025
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September 2025
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Thank you for your reply, ChadI meant 10 as a whole, indeed. Perhaps you see your post in one group, but since it is tagged for all groups, I assumed you meant 10 in total.In your... |
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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 month 3 weeks ago | |
| Thanks Fadhilla! I met with your colleague Henrick at the booth. :-) |
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AI for Conservation, Animal Movement, Camera Traps, Citizen Science, Community Base, Data management and processing tools, Early Career, Geospatial | 1 month 4 weeks ago | |
| Thank you for your comment Chris! Using these tools has made a huge difference in the way we can monitor and manage Invasive Alien Vegetation. I hope you are able to integrate... |
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AI for Conservation, Citizen Science, Conservation Tech Training and Education, Drones, Geospatial, Human-Wildlife Coexistence, Open Source Solutions | 2 months ago | |
| Hi Nick,Thank you for reaching out and for the incredible work you’re doing to spotlight conservation through film. We’d be very interested in learning more about your documentary... |
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AI for Conservation, Emerging Tech | 2 months ago | |
| I would love to hear updates on this if you have a mailing list or list of intersted parties! |
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AI for Conservation, Community Base, Drones, Latin America Community, Marine Conservation, Open Source Solutions, Software Development | 2 months ago | |
| Hello, could you please elaborate on what the purpose of this project is? Thanks a lot :) Lukas |
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AI for Conservation, Emerging Tech, Sensors | 2 months 1 week ago | |
| This survey on camera trap use is a valuable effort to improve data quality and consistency in wildlife monitoring. Looking forward to the results and how they will help shape... |
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Camera Traps, AI for Conservation, Open Source Solutions | 2 months 2 weeks ago | |
| Ritika, All the best! I hope someone provides a more substantive answer! I have also graduated with masters in AI and ML recently. Difference being I am at the end of my... |
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AI for Conservation, Software Development | 3 months 4 weeks ago | |
| We’re excited to announce that Deep Voice has received a 2025 Wildlabs Award to develop a public, web-based platform for marine mammal... |
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Acoustics, AI for Conservation, Marine Conservation | 2 months 2 weeks ago | |
| True, the US ecosystem is a challenging space right now, for basically all sectors. We should not let the US chaos prevent us from engaging with opportunities in other... |
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AI for Conservation, Camera Traps, Connectivity, Drones, Emerging Tech, Ethics of Conservation Tech, Marine Conservation, Sensors | 4 months ago | |
| Fascinating article, combining machine learning and acoustical signals to correlate coral reef health.https://www.sciencedirect.com/science... |
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Acoustics, AI for Conservation, Marine Conservation | 3 years 2 months ago | |
| MIT has this Moo Deng-based fun challenge! More seriously it relates to AI and human-nature interaction. I imagine people on Wildlabs would... |
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AI for Conservation | 2 months 3 weeks ago |
Challenge: ElephantEdge
11 August 2020 12:00am
Event: StreamingScience's #Tech4Wildlife Thursdays
StreamingScience
3 August 2020 12:00am
Automated Fish Identification and Abundance Using Artificial Intelligence
28 July 2020 12:00am
Development of Non-Invasive Techniques for Identifying Eurasian Otter Populations in Lebanon
21 July 2020 4:06pm
BearID To Go
21 July 2020 12:00am
Thinking Outside the Box: Using FIT for Box Turtle Shell ID
8 July 2020 5:22pm
15 July 2020 8:46am
Hi,
Our tortious tracks look like this. we still haven't started to work on this project.
tracking is the best way to monitor the population of Kleinmann's tortoise in its andy habitat.
Hopefully, we will be able to begin next year a project with drones.
16 July 2020 7:37pm
How neat, thanks for sharing! We'd love to hear more about your drone project once it's underway, please keep us updated on that one!
Competition: Cornell Birdcall Identification
8 July 2020 12:00am
Tech Tutors: How do I get started using ML for my camera traps? Building Accurate Project-Specific Models
25 June 2020 12:02am
25 June 2020 6:01pm
26 June 2020 2:32pm
Hi everyone!
We've now posted Sara's session to our youtube channel, and I've also popped it up the top of this thread.
The collaborative notes worked really well! I've now updated them to capture what happened in the chat - it should be a helpful companion to go alongside the recording. The notes have links, projects, and key discussions we saw in the chat, and summarise the questions Sara coverd in the discussion as well as the Qs we weren't able to get to (40mins overtime was our limit!). If your question was one of the outstanding ones and you'd like to have it answered, please drop it in the discussion below.
The notes now also have the participant check ins (such an awesome range of places, projects and interests!) - I'm sharing these as seeing what other people are doing might help you connect with each other. If you see someone you want to connect with, try and find them using our member direcyour people tab. If you can't, email Ellie and she will see if that person is happy to hear from you before connecting you.
Reminder, registration is open for Carlos' tutorial next week: How do I perform automated recordings of bird assemblages? Register here.
Thanks everyone!
Steph
2 July 2020 8:58pm
Great talk! I thoroughly enjoyed it. Some high schoolers have done small AI projects(s) and have interest in the wildlife.
What resources would you all suggest to further develop high schooler’s interest in AI?
Advancing Monitoring of Endangered Forest Carnivores using Footprint Identification Technology (FIT)
29 June 2020 10:42pm
How do I scale up acoustic surveys with Audiomoths?
25 June 2020 12:00am
How do I perform automated recordings of bird assemblages?
Carlos Abrahams
19 June 2020 12:00am
How do I train my first machine learning model?
Daniel Situnayake
9 June 2020 12:00am
How do I get started using Machine Learning for my camera traps?
9 June 2020 12:00am
Innovator Interview: Hack the Poacher
4 June 2020 12:00am
The Perfect Paw Print: Collecting Data with FIT
3 June 2020 12:00am
Competition: 2020 Hackaday Prize
26 May 2020 12:00am
WILDLABS Tech Tutors: Season One
WILDLABS Team
19 May 2020 12:00am
Endangered Species Day Friday 15th May!
14 May 2020 9:04pm
Get To Know FIT
6 May 2020 12:00am
Competition: iWildCam 2020
4 May 2020 12:00am
Training Course: Quantitative Analysis of Marine & Coastal Drone Data
Duke Marine Lab
29 April 2020 12:00am
Call for Submissions – Arm Research Summit 2020
24 April 2020 12:00am
WILDLABS Tech Hub: WWF PandaSat
13 April 2020 12:00am
Webinar 11PST 3/20 - Deep Learning for Airborne Tree Detection
17 March 2020 1:28am
17 March 2020 3:52pm
Thanks Ben. I'll see what I can do.
24 March 2020 9:57am
Hello Ben. Unfortunately I couldn't make it on Friday. It would be great if I could take a look at your slides. I'm interested in trying to count mangrove trees. I have some WorldView 2 data. Do you think I could use DeepForest for this?
31 March 2020 4:21am
DeepForest docs are here.
https://deepforest.readthedocs.io/
Welcome to have a look. My experience is that individual trees cannot be distinguished in satellite imagery. The coarest resolution we've had success with is 0.3m. However, the deepforest weights may still useful as a starting location. If there are visible objects in your image that you want to detect, collecting a few hundred training data samples and retraining the model for 2-3 epochs could be useful. See the link for details. Happy to help, submit issues on the github repo is something isn't clear/doesn't work. Everything is in dev.
WILDLABS Community Call Recording: Rainforest X-PRIZE
30 March 2020 12:00am
Open, challenging dataset for audio classification
27 March 2020 10:52am
27 March 2020 11:51am
Hi Radek,
I'm sure others can help here, but check out our recent virtual meetup (it'll be posted here in about an hour), the speakers - particularly Dave Watson - shared open datasets that might be what you're looking for.
Over on Twitter, Jesse Alston is collating a google sheet so that people can advertise data sets that grad students can use to finish theses. @arik 's reply here might be of particular interest: 'We have been recording 24/7 soundscapes in remote US locations like Yellowstone NP and rural central Wisconsin with multiple GPS synced recorders. Our goal is to study wolf and coyote vocalisations, but if anyone can make use of these data for their own studies, drop me a line!.'
Hope this helps!
Steph
27 March 2020 12:25pm
Steph, thank you so much for this, this is wonderful :) Really, really apreciate you sharing this with me :) Diving into all of the wonderful resources from you, thank you so very much for this!
Radek
Help collate list of Ecology/Conservation Data Sets for grad students
27 March 2020 12:07pm
Automated species detection from camera traps
30 January 2020 8:43am
25 March 2020 2:59pm
I see. Im interested and would like to help. I will need the images to train the network. As many as possible.
if you dont have them yet, try to find similar images preferably of the same species. I will use them to test the performance of the detection.
25 March 2020 6:49pm
I'm not familiar with camera traps, but there are a couple of options:
1) If the animals tend to cover most part of the image, then you can train a CNN classifier to distinguish between species (available with the keras-Tensorflow modules in Python)
2) If, however, the animals only cover a small part of the image (e.g. in the distance), it might be better to use an object detector (I've used YOLOv2 in the past for fish detection), which however is not that straightforward, especially with Python (I used MATLAB)
In any case, keras-Tensorflow classification with Python might be the most straightforward option for your goal. You should also certainly have a look at Google's Wildlife Insights platform which is specialized for species classification from camera trap images.
27 March 2020 10:33am
This can be done, happy to help :) But I think I need to understand the situation a little bit more.
Do you already have the data for training / inference? Do you have any example images with the species in them annotated? Say a still from the camera with a tiger and a csv file referencing that file and annotating that there is a tiger in the image?
Would you like someone to do the developing and training of the deep learning model for you? I work as an AI research engineer at the Earth Species project and I am also a part of a community of deep learning practitioners where we apply cutting edge research to various problems. Here you can check a little initiative I started a couple of days ago to teach people how to work with audio (there is a related forum thread but unfortunately it is in closed forums for the time being as it is associated with a course that is under way). My main point is this - if you have the data and would like someone to help you out on the modelling part, I can coordinate this.
Alternatively, if you cannot release the data, I can point you to materials that can get you started to carry out the work yourself.
WILDLABS Tech Hub: Poreprint
26 March 2020 12:00am
Webinar: Citizen Science Online
SciStarter
26 March 2020 12:00am
14 July 2020 4:10am
The issue of how community-gathered data can be made safe yet accessible is rapidly emerging as a huge challenge in conservation biology. We'd love to hear input from the Wildlife Crime Forum on this.