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!
- @lvgliarose
- | she/her
Bat Conservation Trust
Research Manager at Bat Conservation Trust
- 0 Resources
- 8 Discussions
- 12 Groups
- @Ebennitt
- | She/her
Working primarily in Botswana and other southern African countries, on wild mammal movement, ecology and physiology
- 0 Resources
- 4 Discussions
- 5 Groups
- @sehuebner
- | she/her
Wildlife Ecologist and Program Manager at the Smithsonian Institution
- 0 Resources
- 3 Discussions
- 9 Groups
I have mixed experiences from 20+ years doing SATCOM and other IT roles with the US Army. I also have 4 years experience working in the marine environment doing forage fish spawning research. My goal is to advance my abilities in AI to bring into the realm of wildlife research.
- 0 Resources
- 0 Discussions
- 5 Groups
- @jguenter
- | he/him/his
Species360 CEO - passionate about using data to care for and conserve species
- 0 Resources
- 0 Discussions
- 5 Groups
I have worked in the vertebrate pest industry for over 11 years and am on the practical, on the ground implementation of AI animal control systems.
- 0 Resources
- 0 Discussions
- 1 Groups
- @steventay
- | TAY
Dynamique ET PROACTIF, JE SUIS PASSIONNÉ PAR LA PROTECTION DE L'ENVIRONNEMENT, LE TOURISME RESPONSABLE ET LA CONSERVATION DES ÉCOSYSTÈMES.
- 0 Resources
- 0 Discussions
- 8 Groups
- @Aurel
- | She/Her
Looking to reconcile biodiversity conservation and finance.
- 0 Resources
- 0 Discussions
- 10 Groups
- @Kyle_Birchard
- | He/Him
Building tools for research and management of insect populations
- 0 Resources
- 0 Discussions
- 6 Groups
- @diego_ellis_soto
- | he/him
University of California & California Academy of Sciences
Biodiversity |Technology | Socio-Ecological Systems | Wildlife Ecology | Remote Sensing | Conservation | K12STEM-education | Music | diegoellissoto.org
- 0 Resources
- 0 Discussions
- 20 Groups
- @dka32
- | He
I am a highly motivated individual with a background in Natural Resources Management. I am a conservationist who desire to make an impact in the field of conservation using technology.
- 0 Resources
- 3 Discussions
- 1 Groups
Retired Engineer / UAV interests / Photographer
- 0 Resources
- 3 Discussions
- 1 Groups
Article
HawkEars: a high-performance bird sound classifier for Canada
Alberta Biodiversity Monitoring Institute
HawkEars is a deep learning model designed specifically to recognize the calls of 328 Canadian bird species and 13 amphibians.
13 May 2025
Link
Survey on Earth Observation in Wildlife Ecology
Helena Wehner
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
Link
Weed-AI: Supporting the AI revolution in weed control
Amber Balfour-Cunningham
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
Careers
Global Science Data Management and AI Graduate Intern
World Wildlife Fund
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
Article
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
Article
Nature Tech for Biodiversity Sector Map launched!
Carly Batist and 1 more
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
Funding
$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
Multiple grants
Frank van der Most
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
AI Weather Quest
Alex Rood
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
Careers
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
June 2025
event
Nalini
July 2025
October 2025
event
Lacey Hughey and 3 more
November 2023
event
Stephanie O'Donnell
event
Stephanie O'Donnell
73 Products
Recently updated products
16 Products
Recently updated products
| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| 📸 Do you use camera traps in your work? Take part in our survey!Hi everyone! I’m currently a final-year engineering... |
|
Camera Traps, AI for Conservation, Data management and processing tools, Open Source Solutions, Software Development | 3 weeks 4 days ago | |
| WILDLABS colleagues—My team at TNC is looking for support as we try to understand opportunities of AI applications for freshwater (eco)... |
|
AI for Conservation | 4 weeks 1 day ago | |
| Hi Adam! Sounds like you have your work cut out for you. I have not used radar systems or AI systems for this sort of detection, but there are methods using change detection... |
|
AI for Conservation, Drones, Wildlife Crime | 1 month ago | |
| Hey Amber, that makes a lot of sense! And this effort by Insect Detect is amazing, thanks for sharing! |
|
AI for Conservation, Autonomous Camera Traps for Insects | 1 month 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... |
|
AI for Conservation, Software Development | 1 month ago | |
| One of our goals with explorer.land is to bridge satellite data and on-the-ground perspectives — helping teams combine field updates,... |
|
AI for Conservation, Geospatial, Open Source Solutions, Sensors | 1 month 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... |
|
AI for Conservation, Camera Traps, Connectivity, Drones, Emerging Tech, Ethics of Conservation Tech, Marine Conservation, Sensors | 1 month 1 week ago | |
| Hi, just wanted to let whoever is interested that v.1.3 of DeepFaune is out! Deepfaune is a software that runs on any standard... |
|
Camera Traps, AI for Conservation, Open Source Solutions | 1 month 1 week ago | |
| New stable release : v1.5.1We are pleased to announce the latest release with several important enhancement, fixes and documentation improvements to ensure compatibility with the... |
+15
|
Acoustics, AI for Conservation, Open Source Solutions, Software Development | 1 month 1 week ago | |
| Hi all, I'm Vainqueur BULAMBO. I'm looking for a fully funded PhD opportunity in ecological data science or conservation... |
|
Acoustics, AI for Conservation, Autonomous Camera Traps for Insects | 1 month 2 weeks ago | |
| A nice work from @dmorris! See his LK post. "Lots of information in the conservation literature is represented in maps (e.g., the... |
|
AI for Conservation, Geospatial | 1 month 2 weeks ago | |
| Hi all, I'm the founder of a company in Texas that provides thermal drone surveying for private game ranches. Right now, we're doing everything completely manually in terms of... |
+20
|
AI for Conservation | 1 month 2 weeks ago |
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
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
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
Enter the Zooniverse: Try Citizen Science for Yourself!
18 March 2020 12:00am
Tutorial: Train a TinyML Model That Can Recognize Sounds Using Only 23 kB of RAM
16 March 2020 12:00am
Accepting Applications: ArcGIS Solutions for Protected Area Management
4 March 2020 12:00am
Call for Nominations: Tusk Conservation Awards
3 March 2020 12:00am
Competition: Plastic Data Challenge
Ellie Warren
3 March 2020 12:00am
Hawai'i Conservation Conference
Hawaiʻi Conservation Alliance
28 February 2020 12:00am
Competition: The Artisanal Mining Grand Challenge
26 February 2020 12:00am
Listening to Nature: The Emerging Field of Bioacoustics
24 February 2020 12:00am
Team for Building of ML app for horse identification and conservation
20 February 2020 11:09pm
HWC Tech Challenge Update: Thermal Elephant Alert System
17 February 2020 12:00am
ICEI2020: 11th International Conference on Ecological Informatics
ICEI 2020
14 February 2020 12:00am
17 March 2020 3:52pm
Thanks Ben. I'll see what I can do.