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!
Consultancy opportunity at ZSL for an experienced monitoring specialist to support species monitoring in rewilding landscapes across Europe
31 January 2023
The Department of Environmental Science, Policy, and Management (ESPM) at the University of California, Berkeley (UCB)
25 January 2023
Are you stuck on an AI or ML challenge in your conservation work? Apply now for the chance to receive tailored expert advice from data scientists! Applications due 27th January 2023
18 January 2023
WILDLABS and Fauna & Flora International are seeking an early career Vietnamese conservationist for 12-month paid internship position to grow and support the Southeast Asia regional community in our global...
11 January 2023
This position focuses on the ecology aspect of the project, while a second PhD in Ilmenau will be dealing with programming/AI development. Because of the high temporal resolution of our data, we can investigate how land...
9 January 2023
Careers
We are looking for someone who enjoys the craft of making to come and help run our London based lab.
5 January 2023
Seeking Software Engineer for Marine Science Lab a UC Santa Barbara
19 December 2022
Using satellite imagery to detect and classify the severity of cyanobacteria blooms in small, inland water bodies.
15 December 2022
a technology-led solution to understanding the honeybees of the wasp world
8 December 2022
The University of Alaska Fairbanks is seeking a research Post Doctoral Fellow to work in collaboration with the Arctic National Wildlife Refuge, U.S. Fish and Wildlife Service. The position will focus on using Machine...
7 December 2022
Conservation partnership launches new award to advance biodiversity conservation from space
5 December 2022
Interested in a PhD exploring the potential of AI? Please consider applying to Realize Lab at the University of Michigan CSE.
23 November 2022
April 2024
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October 2024
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December 2023
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WILDLABS AWARDS 2024 – MothBox
15 April 2024 5:06am
18 April 2024 10:39am
Already an update from @hikinghack:
19 April 2024 12:00pm
Yeah we got it about as bare bones as possible for this level of photo resolution and duration in the field. The main costs right now are:
Pi- $80
Pijuice -$75
Battery - $85
64mp Camera - $60
which lands us at $300 already. But we might be able to eliminate that pijuice and have fewer moving parts, and cut 1/4 of our costs! Compared to something like just a single logitech brio camera that sells for $200 and only gets us like 16mp, we are able to make this thing as cheap as we could figure out! :)
Mass Detection of Wildlife Snares Using Airborne Synthetic Radar
7 January 2024 6:50am
13 February 2024 8:43am
Hi David, would love to collaborate with you on this topic. A few years ago Dr. Nick van Doormaal did his PhD on snaring with us and we ran a number of experiments on the detection of snares in a real world scenario using trained anti-poaching teams. I think it would be quite simple to replicate the study and then look at the efficacy of remote sensing vs human detection. Let me know if you are interested in chatting further!
19 April 2024 8:38am
Hi it will only work on metal wire snares. That is a limitation. In areas where bushmeat snares are targeting larger animals nylon rope has limitations in term of its breaking strength and the ability of animals to chew through the nylon. So in in large areas metal snares represent >95% of snares. These factors give some confidence that there will not simply be a shift from metal to nylon snares.
19 April 2024 8:40am
Sorry, been busy and only saw this message now. Definitely am interested you can WhatsApp me 072 4725318
WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification
5 April 2024 7:00pm
8 April 2024 5:29pm
Hi Michelle! Right now we're focused on species identification rather than counts of animals.
When you say timelapse images, is this a certain format like bursts? Curious to understand more about your data format
10 April 2024 3:55am
Happy to explain for sure. By Timelapse I mean images taken every 15 minutes, and sometimes the same seals (anywhere from 1 to 70 individuals) were in the image for many consecutive images.
17 April 2024 5:53pm
Got it. We should definitely be able to handle those images. That said, if you're just looking for counts, then I'd recommend running Megadetector which is an object detection model and outputs a bounding box around each animal.
Early Warning Systems for Human-Wildlife Conflict, Zoonotic Spillover, and Other Conservation Challenges
17 April 2024 5:43pm
Faces, Flukes, Fins and Flanks: How multispecies re-ID models are transforming Wild Me's work
17 April 2024 11:10am
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation (v1.0)
21 February 2024 10:30pm
26 February 2024 7:38pm
Hello @hjayanto , You are precisely the kind of collaborator we are looking to work with closely to enhance the user-friendliness of Pytorch-Wildlife in our upcoming updates. Please feel free to send us any feedbacks either through the Github issue or here! We aim to make Pytorch-Wildlife more accessible to individuals with limited to no engineering experience. Currently, we have a Huggingface demo UI (https://huggingface.co/spaces/AndresHdzC/pytorch-wildlife) to showcase the existing functionalities in Pytorch-Wildlife. Please let us know if you encounter any issues while using the demo. We are also in the process of preparing a tutorial for those interested in Pytorch-Wildlife. We will keep you updated on this!
26 February 2024 11:58pm
This is great, thank you so much @zhongqimiao ! I will check it out and looking forward for the upcoming tutorial!
17 April 2024 11:07am
Hi everyone! @zhongqimiao was kind enough to join Variety Hour last month to talk more about Pytorch-Wildlife, so the recording might be of interest to folks in this thread. Catch up here:
WILDLABS AWARDS 2024 - BumbleBuzz: automatic recognition of bumblebee species and behaviour from their buzzing sounds
12 April 2024 8:37am
12 April 2024 8:41pm
Super great to see that there will be more work on insect ecoacoustics! So prevalent in practically every soundscape, but so often over-looked. Can't wait to follow this project as it develops!
17 April 2024 10:23am
Thanks Carly! I will keep anyone interested in this project posted on this platform. Cheers
Drop-deployed HydroMoth
2 April 2024 10:20am
5 April 2024 2:04pm
Hi Sol! This seems like an awesome project! I have a few questions in response: Where were you thinking of deploying this payload and for how long?
Regarding hydromoth recorders, there have been several concerns that have popped up in my work with deploying the them at this depth because it's a contact type hydrophone which means it utilizes the case to transmit the sound vibrations of the marine soundscape to the microphone unlike the piezo element based hydrophones.
- At 30-60m you will likely have the case leak after an extended period of time if not immediately. The O-ring will deform at this depth, especially around the hinge of the housing. The square prism shape is not ideal for deep deployments you describe.
- After that depth and really starting at about 50m, a major concern is synthetic implosion from the small air pocket of the hydromoth not having a pressure release valve and lithium ion batteries getting exposed to salt water. This type of reaction would cause your other instruments to probably break or fail as well.
- You are unlikely to get a signal with a reinforced enclosure. The signal is generated via the material and geometry of the housing. The plastic will probably deform and mess with your frequency response and sound to noise ratio. If you place it against metal, it will dampen the sound quite a lot. We tried to do this, but the sensitivity is quite low with a large amount of self noise.
A side not: for biodiversity assessments, the hydromoth is not characterized and is highly directional, so you wouldn't be able to compare sites through your standard aocustic indices like ACI and SPL.
That said if you are deploying for a short time, a hydrophone like an Aquarian H1a attached through a penetrator of a blue robotics housing that contains a field recorder like a zoom recorder may be optimal for half a day and be relatively cheaper than some of the other options. You could also add another battery pack in parrallel for a longer duration.
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
Has anyone combined flying drone surveys with AI for counting wild herds?
14 April 2024 3:40pm
14 April 2024 6:33pm
Hi Johnathan!
Here are a few examples where UAVs and AI has been used to spot animals.
https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/1365-2656.13904
A google scholar search as this will find many more:
One thing often forgotten when considering UAVs for aerial surveys like these are that maximum height above ground is normally about 100-120m. This really limits the area one can cover.
Cheers,
Lars
Join the Seeed Vision Challenge and Explore Conservation Tech!
10 April 2024 9:15am
WILDLABS AWARDS 2024 - Enhancing Pollinator Conservation through Deep NeuralNetwork Development
7 April 2024 5:55pm
Job Opportunity - Wildlife Protection Solutions
5 April 2024 9:22pm
Completely irrational animals...
3 April 2024 7:13pm
3 April 2024 9:09pm
3 April 2024 9:20pm
4 April 2024 5:05am
Rescuers hope AI will help reunite orphaned whale with its family in B.C.
3 April 2024 4:43pm
Finwave, while currently in beta-testing, is being used to help reunite an orphaned whale with its family.
EcoAssist - Free AI models for camera traps photos identification
3 April 2024 7:16am
ibm-nasa-geospatial (IBM NASA Geospatial)
28 March 2024 9:22am
NASA and IBM have teamed up to create an AI Foundation Model for Earth Observations, using large-scale satellite and remote sensing data, including the Harmonized Landsat and Sentinel-2 (HLS) data.
Applying Open-Source AI to Camera Trap Imagery
27 March 2024 4:34pm
AI for Conservation!
4 March 2024 8:51pm
22 March 2024 12:29pm
Welcome, Have you considered participating in any of the AI for Good challenges. I find it is good way to build a nice portfolio of work. Also contributing to existing open source ML projects such as megadetector or to upstream libraries such as PyTorch is good way to getting hired.
22 March 2024 5:57pm
Thank you for the tip! I'll definitely consider contributing to open source projects and taking part in challenges :)
25 March 2024 5:22am
We could always use more contributors in open source projects. In most open source companies Red Hat, Anaconda, Red Hat and Mozilla, people often ended up getting hired largely due to their contributions on open source projects. These contributions were both technical such as writing computer code and non-technical such as writing documentation and translating tools in their local language.
The Variety Hour: 2024 Lineup
22 March 2024 4:30pm
Catch up with The Variety Hour: March 2024
21 March 2024 7:39pm
21 March 2024 9:48pm
30 March 2024 3:08pm
31 March 2024 12:43pm
SLN Webinar: Tech for wildlife: The role AI and technology can play in nature conservation
18 March 2024 9:17am
BirdWeather | PUC
27 October 2023 7:45pm
2 November 2023 9:20pm
I love the live-stream pin feature!
14 March 2024 10:29pm
Hi Tim, I just discovered your great little device and about to use it for the first time this weekend. Would love to be directly in touch since we are testing it out as an option to recommend to our clients :) Love that it includes Australian birds! Cheers Debbie
16 March 2024 10:47pm
Hi @timbirdweather I've now got them up and running and winding how I can provide feedback on species ID to improve the accuracy over time. It would be really powerful to have a confirmation capability when looking at the soundscape options to confirm which of the potential species it actually is or confirm it is neither to help develop the algorithms.
Also, is it possible to connect the PUC to a mobile hotspot to gather data for device that isn't close to wifi? And have it so that it can detect either wifi or hotspot when in range? Thanks!
Data Manager and Technology Coordinator, ABC Global Climate Center
15 March 2024 5:01pm
The Freshwater Sounds Archive
15 March 2024 10:32am
Introducing The Freshwater Sounds Archive, a global database of sounds produced by freshwater species.
Submit your species-specific or unidentified sounds to the archive now and receive recognition for your contribution in a forthcoming data paper as a co-author!
Free AI Camera Trap Model for European Fauna!
12 March 2024 12:33pm
EcoAssist has now incorporated the Deepfaune v1.1 species identification model for camera trap images, capable of recognizing 26 European species. The model is developed by Deepfaune initiative. More information is available at: https://www.deepfaune.cnrs.fr/.
Labelled Terrestrial Acoustic Datasets
16 February 2024 10:24pm
8 March 2024 11:54pm
Thanks for sharing Kim.
We're using <1 mA while processing, equating to ~9 Ah running for a year. The battery is a Tadiran TL-5920 C 3.6V Lithium, providing 8.6 Ah, plus we will a small (optional) solar panel. We also plan to implement a threshold system, in which the system is asleep until noise level crosses a certain threshold and wakes up.
The low-power MCU we are using is https://ambiq.com/apollo4/ which has a built-in low power listening capability.
9 March 2024 6:25am
<1 mA certainly sounds like a breakthrough for this kind of device. I hope you are able to report back with some real world performance information about your project @jcturn3 . Sounds very promising. Will the device run directly off the optional solar cell or will you include a capacitor since you cannot recharge the lithium thionyl chloride cell. I had trouble obtaining the Tadarian TL-5920 cells in Australia (they would send me old SL-2770s though) so I took a gamble on a couple of brands of Chinese cells (EVE and FANSO) which seemed to perform the same job without a hitch. Maybe in the USA you can get Israeli cells more easily than Chinese ones?
Message me if you think some feeding sounds, snoring, grooming and heart sounds of koalas would be any use for your model training.
9 March 2024 7:01am
Really interesting project. Interesting chip set you found. With up to around 2mb sram that’s quite a high memory for a ultra low power soc I think.
It might also be interesting while doing your research thinking about if there are any other requirements people could have for such a platform with a view towards more mass usage later. Thanks for sharing.
Here's what you missed at World Wildlife Day 2024
7 March 2024 9:02pm
15 March 2024 2:42pm
EcoAssist - Free African species identification model for 30 species!
5 March 2024 5:10pm
1 April 2024 6:04pm
18 April 2024 10:38am
Hope you will have nice results! In Costa Rica, during one moths sessions we observed the first male of a cicada species!