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!
- @sopara
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Sky Senderos helps Texas landowners collect more accurate, actionable data on their wildlife populations. Our thermal drone surveys enable property owners and lease members to inform wildlife management efforts and monitor population trends.
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- @angelabenard
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Species360
With a strong background in donor relations and community engagement, Angela is committed to fostering partnerships that enhance conservation efforts. They hold a Master’s degree in Public Administration and is an active member of the nonprofit community.
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Andigena ID+ es una empresa Colombiana dedicada a promover la conservación de la biodiversidad de manera integral a través de la investigación y el desarrollo.
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- @Yitmwa
- | She/Her
A conservation biologist with specialization in wildlife monitoring and community engagement. With experience in deploying camera traps and bioacoustics for mammal and birds monitoring in the Afrotropical environment.
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University of Suffolk
Researcher on the 8 Primates Project
PhD student- biodiversity monitoring using acoustic data


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Ocean Science Analytics
Marine mammal ecologist and online technical trainer



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- @Bistra_Dilkina
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Assoc. Prof. of Computer Science at USC and co-director of USC Center for AI in Society. Integration of machine learning and optimization, decision making, conservation planning, wildlife corridors, climate impacts, disaster resilience, wildlife trafficking.
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- @Amitkaushik
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University of Georgia (UGA)
Environmental anthropologist; Ph.D. student in Integrative Conservation
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- @cbnatphoto
- | He / Him
Clay Bolt is the Manager of Pollinator Conservation for World Wildlife Fund-US and a conservation photographer focused on supporting policy that protects insects from pesticides and other threats. Clay’s words and images have appeared in publications such as National Geographic M
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Natural Solutions

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Chartered Geographer and Fellow of the Royal Geographical Society. 35 years in GIS, currently Nature Products Lead at CreditNature. Main interests: biogeography, biodiversity, ecosystem integrity, ecosystem services, rewilding, nature tech, nature fintech.

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HawkEars is a deep learning model designed specifically to recognize the calls of 328 Canadian bird species and 13 amphibians.
13 May 2025
Hi together, I am working on detecting causalities between land surface dynamics and animal movement by using satellite-based earth observation data. As this is might be your expertise I kindly ask for your support...
8 May 2025
Weeds, by definition, are plants in the wrong place but Weed-AI is helping put weed image data in the right place. Weed-AI is an open source, searchable, weeds image data platform designed to facilitate the research and...
7 May 2025
The intern will help the Global Science team expand our understanding of nature-based solutions through artificial intelligence (AI) and support our efforts to create a model for data collection and analysis that can...
18 April 2025
Driving off-highway vehicles (OHVs), which contributes to habitat degradation and fragmentation, is a common recreational activity in the United States and other parts of the world, particularly in desert environments...
8 April 2025
Conservation International is proud to announce the launch of the Nature Tech for Biodiversity Sector Map, developed in partnership with the Nature Tech Collective!
1 April 2025
$3 millions of funding for NGO in Brazil using AI for conservation / $ 3 milhões em financiamento para ONGs no Brasil que usam IA para conservação!
1 April 2025
Funding
I have been a bit distracted the past months by my move from Costa Rica to Spain ( all went well, thank you, I just miss the rain forest and the Ticos ) and have to catch up on funding calls. Because I still have little...
28 March 2025
Funding
The AI Weather Quest, organised by the European Centre for Medium-Range Weather Forecasts (ECMWF), is an ambitious international competition designed to harness artificial intelligence (AI) and machine learning (ML) in...
25 March 2025
InsectSet459 - the first large-scale open dataset of insect sounds, featuring 26,399 audio clips from 459 species of Orthoptera and Cicadidae.
24 March 2025
Naturalis is looking for a postdoc in AI for Ultrasonic Bioacoustic Monitoring
24 March 2025
Funding
The Compute for Climate Fellowship is a global R&D funding program that empowers climate tech startups to leverage advanced cloud computing and AI in the fight against climate change.
22 March 2025
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Description | Activity | Replies | Groups | Updated |
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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 | 1 hour 58 minutes ago | |
Hi Ethan, It's indeed a competitive area. My advice for you (and anybody else seeking a PhD supervisor)...Do background research on each individual potential supervisor and always... |
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Early Career, AI for Conservation, Animal Movement, Climate Change | 3 days 21 hours ago | |
Hi Nick,At Wildlife.ai, from the other side of the world, we would be happy to chat with you. PM if interested Victor |
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AI for Conservation, Emerging Tech | 1 day 23 hours ago | |
Hi everyone,What should we share or demo about Software Quality Assurance? Alex Saunders and I, the two Software QA people at Wildlife Protection Solutions (WPS) are going to... |
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Software Development, AI for Conservation, Open Source Solutions | 3 days 16 hours ago | |
My name is Frank Short and I am a PhD Candidate at Boston University in Biological Anthropology. I am currently doing fieldwork in Indonesia using machine-learning powered passive... |
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Acoustics, AI for Conservation, Animal Movement, Data management and processing tools, Early Career, Emerging Tech, Ethics of Conservation Tech, Protected Area Management Tools, Software Development | 2 weeks ago | |
This looks like a great application, thank you! I wonder if they are planning to run this study in future years. |
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AI for Conservation | 2 weeks 3 days ago | |
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Latin America Community, Acoustics, AI for Conservation, Camera Traps, Drones, Early Career | 2 weeks 6 days ago | ||
@LukeD, I am looping in @Kamalama997 from the TRAPPER team who is working on porting MegaDetector and other models to RPi with the AI HAT+. Kamil will have more specific questions. |
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AI for Conservation, Camera Traps | 3 weeks ago | |
Super happy to finally have Animal Detect ready for people to use. We are open for any feedback and hope to bring more convenient tools :) |
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AI for Conservation | 3 weeks ago | |
Hi Ștefan! In my current case, I am trying to detect and count Arctic fox pups. Unfortunately, Arctic fox does not seem to be included in the training data of SpeciesNet but... |
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AI for Conservation, Camera Traps | 3 weeks 1 day ago | |
Interesting. Thanks for the explanation. Nice to hear your passion showing through. |
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AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 3 weeks 3 days ago | |
📸 Do you use camera traps in your work? Take part in our survey!Hi everyone! I’m currently a final-year engineering... |
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Camera Traps, AI for Conservation, Data management and processing tools, Open Source Solutions, Software Development | 3 weeks 3 days ago |
Question About Interpolation
18 June 2024 10:52pm
Workflow for automated precise seeding with drones and artificial intelligence
20 June 2024 12:22pm
FOSS Geospatial Tools
Deep learning & bioacoustics postdoc in Cape Town, South Africa
14 June 2024 1:52pm
Conservation Technology for Human-Wildlife Conflict in Non-Protected Areas: Advice on Generating Evidence
22 January 2024 11:36pm
4 February 2024 8:16am
Hi Amit,
The most important thing is that the livestock owners contact you as soon as possible after finding the carcass. We commonly do two things if they contact us on the same day or just after the livestock was killed:
- Use CyberTracker (or similar software) on an Android smart phone to record all tracks, bite marks, feeding pattern and any other relevant signs of the reason for the loss with pictures and GPS coordinates. [BTW, Compensation is a big issue -- What do you do if the livestock was stolen? What do you do if a domestic animal killed the livestock? What if it died from disease or natural causes and was scavenged upon by carnivores afterwards?]
- In the case of most cats, they would hide the prey (or just mark it by covering it with grass or branches and urinating in the area). In this case you can put up a camera trap on the carcass to capture the animal when it returns to its kill (Reconyx is good if you can afford it - we use mostly Cuddeback with white flash). This will normally only work if the carcass is fresh (so other predators would not be able to smell it and not know where it is yet), so the camera only has to be up for 3-5 days max.
This is not really high-tech, but can be very useful to not only establish which predator was responsible (or if a predator was responsible), but also to record all the evidence for that.
13 June 2024 8:58pm
Hey Amit,
This is a great question; from our work, we've seen people do a couple of things. We've even seen people using Ring doorbell footage in urban areas as evidence.
The best thing we've seen is matching the community needs with existing infrastructure:
- Are there existing cameras you can leverage, like the doorbell cameras?
- Can public participation monitoring service this, i.e. public submitted photos and videos?
It also totally depends on the wildlife species you're working with, the interaction, damages, etc. If you've found any good solutions, let me know. I'd love to share that information with our clients here who have constant bear problems.
14 June 2024 9:09am
In that case, you might want to keep an eye on the project from @Lars_Holst_Hansen
I have been working hard on this camera based polar bear alarm with Kim… | Lars Holst Hansen | 17 comments
I have been working hard on this camera based polar bear alarm with Kim Hendrikse and other collaborators including Zoologisk Have in Copenhagen - where the system is now beeing tested. I hope to field test it at Zackenberg Research Station next year. | 17 comments on LinkedIn
Bezos Earth Fund, AI for Climate and Nature Grand Challenge call for $50K-2M projects
12 June 2024 2:58pm
Postdoctoral Research Associate: Bioacoustics & population modeling
11 June 2024 9:35pm
Fully funded PhD in AI biodiversity monitoring
11 June 2024 1:07pm
AI Identification Models on Thermal Data
6 June 2024 8:30pm
7 June 2024 4:06am
Wow! This dataset seems great and definitely worth trying out. Do you perhaps have a dataset for deer, elk, and those animals of the sort?
I live in the mountainous region so deer are very common and easily hit.
Thank you again
7 June 2024 5:43pm
Sorry, the only other dataset of thermal camera trap images that I'm aware of is mostly elephants, although it does have some goats:
https://github.com/arribada/human-wildlife-conflict?tab=readme-ov-file#elephant-dataset
7 June 2024 7:28pm
No worries! I'll be trying the other one to see how it works. Thank you for your help!
VIHAR-2024 deadline extension, June 30th (Interspeech satellite event)
5 June 2024 10:30am
5 June 2024 3:05pm
Thanks for sharing this @nkundiushuti ! I think this post would be better suited as an event, that way it will show up on the WILDLABS event calendar page. Let me know if you have any questions on how to make an event post! You just click the +Post button in the top right corner, then click "event."
7 June 2024 8:29am
hi Alex!! I already posted the event, I just wanted to posted an update: the deadline was extended.
7 June 2024 1:45pm
Fantastic!!
€4,000 travel grants for insect monitoring an AI
6 June 2024 4:49pm
New WILDLABS Funding & Finance group
5 June 2024 3:24pm
5 June 2024 4:14pm
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6 June 2024 4:16am
Apply! 2024 Conservation Tech Award
3 June 2024 3:51pm
Recruiting for a paid study on Explainable AI & bird identification
1 June 2024 8:34pm
Announcing: BeetlePalooza 2024
31 May 2024 9:00pm
Bioacoustics and AI 101
29 May 2024 2:21pm
9th Workshop On Detection and Classification of Acoustic Scenes and Events
28 May 2024 8:57pm
32nd European Signal Processing Conference
28 May 2024 8:44pm
5th World Ecoacoustics Congress
28 May 2024 8:07pm
Computational Entomology Webinar III: Processing liquid samples
22 May 2024 12:40am
DeepDive: estimating global biodiversity patterns through time using deep learning
20 May 2024 4:51pm
4th International Workshop onCamera Traps, AI, and Ecology
9 May 2024 1:00pm
Harnessing large language models for coding, teaching and inclusion to empower research in ecology and evolution
9 May 2024 12:51pm
Voices of Sustainability: Perspectives from - Africa Wholesome Sustainability Explained: What is E-PIE
7 May 2024 3:06am
1 July 2024 5:48pm
1 July 2024 6:02pm
3 July 2024 3:30pm
AI & Gamified Citizen Science
3 May 2024 7:24am
3 May 2024 5:09pm
Check out FathomVerse, a new game by MBARI folks for involving citizen scientists in improving algorithms to ID deep sea critters!
FathomVerse | mobile game
FathomVerse is a mobile game designed to inspire a new wave of ocean explorers and improve AI for ocean life.
3 May 2024 8:28pm
This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou!
Travel grants for insect monitoring an AI
3 May 2024 5:20pm
Drop-deployed HydroMoth
2 April 2024 10:20am
15 April 2024 6:53am
Hi Matthew,
Thanks for your advice, this is really helpful!
I'm planning to use it in a seagrass meadow survey for a series of ~20 drops/sites to around 30 m, recording for around 10 minutes each time, in Cornwall, UK.
At this stage I reckon we won't exceed 30 m, but based on your advice, I think this sounds like not the best setup for the surveys we want to try.
We will try the Aquarian H1a, attached to the Zoom H1e unit, through a PVC case. This is what Aquarian recommended to me when I contacted them too.
Thanks for the advice, to be honest the software component is what I was most interested in when it came to the AudioMoth- is there any other open source software you would recommend for this?
Best wishes,
Sol
21 April 2024 7:10pm
Hey Sol,
No problem at all. Depending on your configuration, the Audiomoth software would have to work on a PCB with an ESP32 chip which is the unit on the audiomoth/hydromoth, so you would have to make a PCB centered around this chip. You could mimic the functionality of the audiomoth software on another chip, like on a raspberry pi with python's pyaudio library for example. The problem you would have is that the H1A requires phantom power, so it's not plug and play. I'm not too aware with the H1e, but maybe you can control the microphone through the recorder that is programmable through activations by the RPi (not that this is the most efficient MCU for this application, but it is user friendly). A simpler solution might be to just record continuously and play a sound or take notes of when your 10 min deployment starts. I think it should last you >6 hours with a set of lithium energizer batteries. You may want to think about putting a penetrator on the PVC housing for a push button or switch to start when you deploy. They make a few waterproof options.
Just somethign else that occured to me, but if you're dropping these systems, you'll want to ensure that the system isn't wobbling in the seagrass as that will probably be all you will hear on the recordings, especially if you plan to deploy shallower. For my studies in Curacao, we aim to be 5lbs negative, but this all depends on your current and surface action. You might also want to think about the time of day you're recording biodiversity in general. I may suggest recording the site for a bit (a couple days or a week) prior to your study to see what you should account for (e.g. tide flow/current/anthropogenic disturbance) and determine diel patterning of vocalizations you are aiming to collect if subsampling at 10 minutes.
Cheers,
Matt
3 May 2024 12:55pm
Hi Sol,
If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case means it is not possible to accurately calibrate the signal strength due to the directionality of the response. For some applications, this doesn't matter. For others, it may.
Another option for longer/deeper deployments would be an Aquarian H2D hydrophone which will plug directly into AudioMoth Dev or AudioMoth 1.2 (with the 3.5mm jack added). You can then use any appropriately sized battery pack.
If you also connect a magnetic switch, as per the GPS board, you can stop and start recording from outside the housing with the standard firmware.
Alex
AI-enabled image query system
2 May 2024 2:16am
Elephant Collective Behaviour Project - Principal Investigator
1 May 2024 1:59pm
28 June 2024 6:35pm
The use of synthetic training data such as interpolated sequence values is common, but fraught with the issue of your synthetic signal generating features that are not true to real life.
Instead, you might think about about appending the values of two long-period sin waves per input element to the sequence going in to your first linear / fully-connected layer. The simplest thing that could possibly work would be to interpret minute of the day and day of the month as the values of your sin wave! (Or perhaps minute/hour if all training sequences are quite short.) Since you’re doing sequence prediction, you would add the appropriate values for each image(?) in the sequence being evaluated.
With that additional signal going in to the model in the early layers, the NN should have a good chance of learning that the differences in the modulating signal corresponds to distance in time.
This technigue was popularized by early Large Language Models to encode the distance between words. There’s been refinement (search “Rotary Encoding” for instance) but the basic idea of sin waves generalizes well.