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!
Over 35 years of experience in biodiversity conservation worldwide, largely focused on forests, rewilding and conservation technology. I run my own business assisting nonprofits and agencies in the conservation community
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Biologist I consider myself a data scientist with a passion for nature and with an extensive experience in species distribution modeling, handling large data sets from different sources such as gbif, eBird, xeno-canto, Worldclim, Terraclimate, ocean color e NASA among others. But
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Environmentalist and Python developer working in the realm of Remote Sensing. Fascinated by the intersection of technology and nature, with a focus on machine learning, ecological modeling, and biodiversity monitoring. 🌍
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- @Namitha
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Physics PhD candidate enthusiastic about conservation and ecology
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Founder & CEO of we.are.tohorā, creating a community that cares about whales, the environment and each other.
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- @Bijin
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I am a high-school student who enjoys wildlife photography and the intersection between technology and conservation.
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- @Dragonoeede
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Systems Engineer at Edge Impulse, experiencce with hands-on edge machine learning for wildlife conservation
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18 month postdoc research position, Netherlands, EU-funded
28 March 2024
Article
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Description | Activity | Replies | Groups | Updated |
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I really hope you get this funding! You are so right about increasing the cost of poaching as a deterrent (snares destroyed, investment in snare cables and logistics all for... |
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Conflict, Wildlife Crime | 1 minute 21 seconds ago | |
Awesome! I am looking at something similar too - also awaiting funding. It's in SE Australia, also focusing on invasive species (red fox), protecting an area that has nesting... |
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AI for Conservation | 9 hours 23 minutes ago | |
Yes, this system is designed to be installed near farms. We also have the repeller system with audio & light, that is battery & solar powered. This system is a "last line... |
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AI for Conservation | 5 days 6 hours ago | |
Yes, exactly! Alec and I are working together on this. |
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AI for Conservation | 1 week 1 day ago | |
Undoubted things will quickly evolve from just "straight" ChatGPTn, BARD, ClaudeAI, etc "standard" models, to more specialized Retrieval Augmentation Generation (RAG) , where... |
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AI for Conservation, Emerging Tech | 1 week 6 days ago | |
This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou! |
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AI for Conservation, Citizen Science | 2 weeks ago | |
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... |
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Acoustics, AI for Conservation, Data management and processing tools, Emerging Tech, Sustainable Fishing Challenges | 2 weeks ago | |
Online citizen science platforms like iNaturalist and Macaulay Library contain a wealth of images but are hard to search using text. We are... |
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AI for Conservation, Citizen Science | 2 weeks 1 day ago | |
We're seeking training data for AI for wolf ID - we at T4C manage 3 Wildbook platforms: Wild North, Whiskerbook and the... |
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AI for Conservation | 2 weeks 4 days ago | |
Hi Phani,An entry point might be to participate in a challenge related to conservation on:KaggleDrivenDataFruitPunchMax Planck Institute of Animal BehaviorYou could also reach out... |
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AI for Conservation | 3 weeks 2 days ago | |
[oops, the same reply got submitted twice and there doesn't seem to be a "delete" button] |
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AI for Conservation, Camera Traps | 3 weeks 2 days ago | |
Hi @zhongqimiao ,Might you have faced such an issue while using mega detectorThe conflict is caused by:pytorchwildlife 1.0.2.13 depends on torch==1.10.1pytorchwildlife 1.0.2.12... |
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AI for Conservation, Camera Traps, Open Source Solutions | 3 weeks 2 days ago |
Bird Acoustic Solution
9 June 2022 11:31pm
16 June 2022 9:27am
Hi,
Look at this publication (below) and download the BirdNet app. The computer code is provided to train ML algorithm that will allow you to tailor the model with your own data.
Thanks, Mrigesh
20 June 2022 1:00am
Thank you @carlybatist , @Freaklabs and @MK . The inputs are very useful and I am progressing on my project based on that. Appreciate a lot.
Cofounder needed
9 June 2022 4:23pm
17 June 2022 1:14pm
What about developing a drone conservation training course for field conservation staff teaching specific skills for specific research needs.
17 June 2022 6:54pm
How exciting @Joyeeta ! I'd love to learn more about the companies and projects you worked on, can you share more info about them?
I once chatted to an entrepreneurial advisor with a couple of my conservation tech ideas, and he said my ideas are good/impactful but don't make for a product worth millions of $$$ of turnover per year that would interest investors. So I am very curious about how you got your conservation tech businesses off the ground!
18 June 2022 8:33pm
Some folks doing work in this space - Wildlife Drones, Conservation Drones, UAV Wild, AfricanDrones, Oceans Unmanned, Geonadir.
Silverstrand Capital Biodiversity Accelerator+
17 June 2022 11:03am
Multiple Roles with Rainforest Connection
16 June 2022 9:15am
Join Seeed’s “IoT Into the Wild Contest for Sustainable Planet 2022” on Hackster to Get 100 Free Hardware and to Win $14,000+ in Prizes!!
14 June 2022 11:04am
Join Seeed’s “IoT Into the Wild Contest for Sustainable Planet 2022” on Hackster to Get 100 Free Hardware and to Win $14,000+ in Prizes!!!
14 June 2022 9:14am
Switch to Conservation IT
10 June 2022 1:47am
11 June 2022 1:39pm
Do you have any particular areas of interest within using AI for conservation tech? e.g., camera trapping, tracking/telemetry, passive acoustic monitoring, eDNA, etc.
You might also check out the Conservation Tech Directory to see what other kinds of companies, organizations, etc. are involved in those different spaces and which are best aligned with what would want to do.
11 June 2022 3:10pm
Thanks Carly. No special areas of interest for now although that will happen over time. Thanks so much for your reply. I will check the Conservation Tech directory out.
Soumya
2 postdoc positions: AI for Biodiversity Monitoring
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AI for Conservation Office Hours: are you interested?
8 October 2021 12:00pm
25 October 2021 4:13pm
Hi Wildlabbers!
We're now going ahead with a small pilot of around ten 1:1 office hour sessions with Microsoft AI for Earth specialists. More details coming very soon.
For the time being sign-ups are now closed, but thank you to everyone who has been interested. We will keep you updated on how the 1:1s go and whether there will be further sessions to sign up for later in the year.
Cheers,
Lucas
14 December 2021 2:47pm
We've now wrapped our first run of AI for Conservation Office Hours and you can read my review of how it went and lessons learned here.
Given the overall success of the programme, we're excited to announce that in early spring next year we will be coordinating a second round - so keep an eye out for further updates in the new year on the application and sign-up process.
Also, we'd love to know whether you'd be interested in having a 1:1 so comment below and tell us what conservation tech challenge you would like to cover or how a session could help you in your conservation work.
Many thanks,
Lucas
11 June 2022 1:16pm
There are a bunch of different options for detecting calls in audio data, from proper statistical platforms such as R/Python, to bespoke software such as Arbimon, Kaleidoscope & Raven. Edge Impulse also an online ML model-building interface, but this is more focused on then deploying the models onto devices for edge computing. Arbimon has template matching features that are a good way to start finding detections to build a training dataset, I have used it for this in the past. Arbimon is online & free. Kaleidoscope has a clustering function which is again a good first step to start picking out the low-hanging fruit of detections so to speak. It's a desktop app, but this is not free ($400/yr). Raven also has some automated features - template & band-limited entropy detectors. It's also a desktop app and not free ($100-$800 depending on 1-year or permanent license and whether non-profit or not; not sure where a government agency would fit into that).
There is always the ubiquitous split between biologists who traditionally are taught to use R and tech/computer folks who are taught to use Python, but for ML, Python's ecosystem is really well set up. Not sure what the level of programming you/your dept has, but there are a TON of free resources online for learning it if you were interested.
Relevant Python bioacoustics packages potentially of use - Acoustic_Indices, scikit-maad, Ketos, OpenSoundscape (as well as the obvious ML ones such as TensorFlow)
Some R packages as well - soundecology, bioacoustics, monitoR, warbleR, gibbonR
@tessa_rhinehart has created a fabulous list of bioacoustics software that you can find here: https://github.com/rhine3/bioacoustics-software.
You can also turn to articles that have already done similar things and reach out to the authors to discuss their methods. I've got a (totally un-exhaustive) list of papers on passive acoustic monitoring, with a section on 'analyses' that you might find useful to start with; I can email it to you if you'd like. Working on a PAM training materials page on my website that it will be available at shortly as well (will post the link to Wildlabs when it's live!).
Hope this is helpful!