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!
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- @fabiola
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My research focuses on using Next-Generation Sequencing (NGS) to study endangered species, including carnivores, chiropterans (bats), and lizards, as well as their microbiomes.
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"As co-founder of IMPACT Madagascar and a geologist with extensive experience in GIS, I believe technology plays an important role in both environmental conservation and sustainable community development."
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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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Community Announcement
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26 February 2020
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17 February 2020
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Description | Activity | Replies | Groups | Updated |
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Do you use camera traps? If so, we'd love if you could take five minutes to fill out this survey: tinyurl.com/zambasurveyWith our WILDLABS... |
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AI for Conservation, Camera Traps, Data management and processing tools, Software Development, Open Source Solutions | 7 months 4 weeks ago | |
I'm not affiliated, I just happened across it... not sure who is actually leading it. |
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Software Development, Early Career, AI for Conservation, Citizen Science, Climate Change, Conservation Tech Training and Education, Funding and Finance | 7 months 4 weeks ago | |
Great and difficult question Lisa! I think, yes, we are adding to the problem. We have been already when ML was introduced as a solution to big data problems, and perhaps we have... |
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AI for Conservation | 8 months ago | |
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 1 week 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 2 weeks 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 3 weeks ago | |
Thank you!! |
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AI for Conservation | 9 months 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 2 weeks ago | |
@DibblexLesalon looks like a great question for your team at Expert Drones Africa :) |
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AI for Conservation | 9 months 2 weeks 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 3 weeks ago |
Texas Chapter of The Wildlife Society’s Annual Meeting 2023
20 February 2023 10:56pm
Operation Pangolin launches to save world's most trafficked wild mammal
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Zooplankton Prosome and Lipid Sac Segmentation
15 February 2023 1:44pm
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Hiring Full Stack Developer at Conservation X Labs
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Call for Data: A Global Database of Tree Crown Footprints from RGB Imagery
3 February 2023 11:22am
3 February 2023 7:01pm
You should definitely talk with Ben Weinstein and co (the folks behind DeepForest), if you haven't already!
10 February 2023 4:18pm
Bluesky have a commercial tree crown dataset available covering most of Great Britain (England, Wales and parts of Scotland). There is a canopy layer with approximate outlines of each canopy (the image on this page shows just circular crowns). It's created using aerial imagery.
National Tree Map | Bluesky International Limited
Bluesky’s National Tree Map™ (NTM™) is the most detailed dataset of its kind ever produced, with coverage across Great Britain and Ireland.
Machine Learning Scientist
10 February 2023 10:37am
Research Associate - Machine Learning (Underwater Sound)
10 February 2023 10:19am
Engineering Manager, Skylight
10 February 2023 10:14am
New tutorial on Firetail 10 - annotation of acceleration data
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Commercially available connected audio sensors
2 February 2023 3:08pm
2 February 2023 3:55pm
Hi!
I am not aware of any such connected loggers/recorders but they would be nice.
The AudioMoths have been revolutionary in providing audologging at a low cost but they take a lot of "data muling" (carrying SD cards in and out of the field sites) and swapping of batteries.
Cheers,
2 February 2023 7:50pm
Hi Lars, thanks for the response. We are using lots of Song Meter Micro's atm and they have proved to be resilient. Just need something which doesn't involve going on site regularly - but get the data off.
3 February 2023 7:04pm
Rainforest Connection's (RFCx) Guardian devices may be of interest. They are solar-powered and have connectivity options for Wifi, GSM and satellite transfer. They've previously been used for detecting e.g., gunshots or chainsaws (using edge computing) and then sending positive detections/alerts to folks on the ground. RFCx also hosts Arbimon, a free, no-code software platform that facilitates analysis of audio data as well. Happy to chat more if you'd like to talk further about it!
Artificial Intelligence and Conservation: Indigenous AI
3 February 2023 4:40pm
Job: Building a network of conservation tech across continents
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Consultancy opportunity: Wildlife monitoring specialist
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AI for Forest Elephants Challenge
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Apply Now: AI for Conservation Office Hours
18 January 2023 5:15pm
Interview for Technologies in Conservation
24 November 2022 10:07am
16 January 2023 2:42pm
I'd be happy to chat with you if you wanted! My expertise is within passive acoustic monitoring particularly. The Conservation Tech Directory might be useful for you in identifying relevant actors within the space.
16 January 2023 5:16pm
Happy to contribute tgray@woodsholegroup.com
17 January 2023 5:12pm
My original background is in ecology and conservation, and am now in the elected leadership of the Gathering for Open Science Hardware which convenes researchers developing open source tech for science. I am not working on a specific piece of technology right now, but am happy to contribute some higher-level views for your interview if that helps.
African elephant facial or body recognition software
10 December 2018 7:26pm
14 November 2020 5:21pm
In DRCongo and just discovering this now. We operate in Lomami National Park, very remote regions, and our issue includes individual recognition of bonbos and forest elephants from camera trap data. Tim van Dam's comment hit home for me in that we have NO internet acces in the field sites, with internet, but not much access to cloud based propgram only in the cities of KIndu and Kisangani, over 100km from the field sites. We would liketo be able to download and use software, and even participate in testing some applications, but time lags are involved since data has to come out of thefield to move into the propgrams. I think basically we can do a lot with low tech solutions, and selectively move up the analytical chain but there is no question that we will remain with some fundamental connectivity problems....Is anyone esle facing thes kinds of constraints? Can anyone suggest some basic "recognition software" and a working group to allow us to get into this area and see what we can produce and contribute? John Hart www.bonoboincongo.com
15 November 2020 1:01am
This article in Seattle Times does pretty much a smiliar thing with Bears and you may find some solutiosn from their work
https://www.seattletimes.com/business/technology/training-facial-recognition-on-some-new-furry-friends-bears/
14 January 2023 9:48am
Hi Sophie, Can you please help me or get in touch in developing a system where we are able to detect an Elephant? Would like to discuss more about it. Kindly treat this as urgent!!
New paper - An evaluation of platforms for processing camera-trap data using artificial intelligence
13 January 2023 12:14am
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Job: maker / workshop technician
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Join NASA’s harmful algal bloom ML challenge and win prizes!
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