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!
American Museum of Natural History
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- @Tracks_Ecology
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Ecological Consultant focussing on the use of UAV and GIS to advance applied ecological reasearch
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My main interest is in the application of geospatial technology for ecology and conservation
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- @bradnahill
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SEE Turtles
Brad has worked in sea turtle conservation & ecotourism for 20+ years. He is the lead writer of Sea Turtle Research and Conservation and co-author of the Worldwide Travel Guide to Sea Turtles. He has won the President's Award from the International Sea Turtle Society.
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- @ZoeDagan
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I'm Zoe, an ecologist at the intersection of SaaS, conservation, and community science. I build programs and advance projects that accelerate solutions to our most urgent climate and conservation challenges.
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I help conservation scientists spend less time on boring stuff.
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2023 Bachelor Degree Graduate from the College of African Wildlife Management, Mweka.
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- @crazybirdguy
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Field Biologist at Yayasan Cikananga Konservasi Terpadu, Indonesia, with experience and interest mainly in ornithology, citizen science and bioaccoustic
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- @emilydorne
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DrivenData
Lead Data Scientist and developer of zamba, a tool for automatic species classification from camera traps
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PhD Candidate in autonomous marine biodiversity modelling
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Article
In this article from BearID Project, Director and Software Developer Ed Miller walks us through using their application to identify individual bears from photographs. Ed shows us how to easily use BearID remotely in the...
21 July 2020
Put your acoustic monitoring skills to the test in The Cornell Lab of Ornithology's Birdsong Identification Kaggle Competition. Participants will compete to identify as many bird vocalizations as possible in in...
8 July 2020
Conservation technology largely consists of two categories: tools to monitor and study wildlife and their habitats, and solutions to mitigate or prevent negative human impacts. The fight against poaching in particular...
4 June 2020
A couple months ago, we introduced you to the Footprint Identification Technique (FIT), a non-invasive way to build an identification algorithm from both wild and captive animals by photographing footprints. Today, we'...
3 June 2020
Funding
The 2020 Hackaday Prize competition has begun! This year, Conservation X Labs has partnered with the Hackaday Prizes as one of four nonprofits seeking tech-based solutions to urgent challenges. Conservation X Labs'...
26 May 2020
Article
We're excited to welcome the WildTrack FIT group to our community! Today, we'd like to introduce you to the Footprint Identification Technique (FIT) and share how you can incorporate this tracking method into your field...
6 May 2020
Funding
Want to compete in the iWildCam 2020 competition identifying species in camera trap images to support biodiversity monitoring efforts and automatic species classification model improvements? Because the Workshop on Fine...
4 May 2020
The 2020 Arm Research Summit is accepting submissions from all research disciplines focusing on the role of technology in solving global challenges. Submissions should reflect the potential of sustainable, secure, and...
24 April 2020
Article
At the 2018 London Illegal Wildlife Trade Conference, we announced the WILDLABS Tech Hub, an accelerator programme created to support the development and scaling of groundbreaking technological solutions addressing the ...
13 April 2020
Article
At the 2018 London Illegal Wildlife Trade Conference, we announced the WILDLABS Tech Hub, an accelerator program created to support the development and scaling of groundbreaking technological solutions addressing the ...
26 March 2020
Trapped inside during the COVID-19 quarantine and looking to engage with conservation science without leaving your desk? Citizen science projects like those on Zooniverse offer a great opportunity to impact scientific...
18 March 2020
Machine learning is rapidly expanding as a useful field research tool, but its complexity can intimidate even seasoned tech conservationists. Edge Impulse aims to make machine learning solutions accessible,...
16 March 2020
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61 Products
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Description | Activity | Replies | Groups | Updated |
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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 | 1 minute 23 seconds ago | |
Thanks, I grabbed those datasets already. I know about that website, put couldn't quite make sense of it. It says 'open repository', but then there is a login page with no way to... |
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AI for Conservation, Open Source Solutions, Protected Area Management Tools, Drones, Remote Sensing & GIS | 1 day 14 hours ago | |
Hey @Sylvain_H Am leaning towards Maad Audiophiles or The Maad Eco Community |
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Acoustics, AI for Conservation, Open Source Solutions, Software and Mobile Apps | 2 days 19 hours ago | |
@DibblexLesalon looks like a great question for your team at Expert Drones Africa :) |
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AI for Conservation | 4 days 14 hours 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, Biologging, Citizen Science | 1 week ago | |
Congrats on the publication! Great work! |
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AI for Conservation | 6 days 17 hours ago | |
The German start-up Dryad is also working on early fire detection using sensors and AI. |
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AI for Conservation | 6 days 20 hours ago | |
Hey, You're correct, traditionally species distribution models are spatial only, but here are a few ideas for how to incorporate time into your modelling: Categorise the... |
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AI for Conservation | 1 week 2 days ago | |
I found this interesting |
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AI for Conservation, Emerging Tech | 1 week 4 days ago | |
Really interesting, I will take a look |
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AI for Conservation, Camera Traps, Data management and processing tools, Emerging Tech | 1 week 6 days ago | |
Great new!! |
+15
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AI for Conservation | 2 weeks ago | |
Hi Carly, thank you for the advice! I am only focusing on the two birds for now - my goal is to use part of the iNaturalist data I have pulled to train the model and the rest to... |
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AI for Conservation | 2 weeks ago |
Education Paper on Computer Vision for Ecology
9 January 2023 5:30am
Job: maker / workshop technician
5 January 2023 10:53am
Job: Software Engineer at Benioff Ocean Science Laboratory
19 December 2022 7:59pm
San Diego Zoo needs Summer Undergraduates!!
19 December 2022 1:58pm
Join NASA’s harmful algal bloom ML challenge and win prizes!
15 December 2022 7:56pm
Help - Innovative ways to track elephant movement
28 October 2022 4:50pm
7 November 2022 12:52am
Hi Tyler,
Would like to introduce you to Ceres Tags products
- Ceres Tags products come in boxes of 5, 10 and 24.
- There are some software partners such as Earthranger, Mapipedia and possibly CiboLabs that would be able to assist you with your mapping vegetation requirements
- Ceres Tag does not require any towers, base stations and infrastructure. This allows you to see any movements from the heard outside of their normal herd (boundary alerts), and you will not be disturbing any of the flora and fauna with infrastructure set up.
- For the timing you are looking at, Ceres Wild pings directly to satellite 24 times a day. For Ceres Trace and Ceres Ranch there are 4 within 24 hours. Taking into consideration, when you set up alert areas, you will get them directly to your phone/laptop via your software of choice
- Ceres Ranch is a reusable tag that has just been launched. Use it on this project, remove the tag and then use the tag on your next project
- The software you choose will assist with the history of your animal movements. Ceres Tag is integrated with 11 software partners and in-development with 18 software partners https://cerestag.com/pages/software-partners
- Understanding it is a short-term project, you would be able to use Ceres Tags products without the additional expense of setting up and removing infrastructure- towers, gateways
- With Ceres Tag, you are purchasing the box of tags and picking a suitable software to deliver the information you require. On average, a box of 10 Ceres Trace Tags, is the same as 1 LoRaWAN tower.
14 December 2022 10:49am
I just came across this interesting paper in which seismic monotoring of animals like elephants was mentioned.
This is the study refered to:
Cheers,
Lars
CV4Ecology 2023 Applications
1 November 2022 8:01pm
3 November 2022 7:13pm
Hey Sara,
Thanks again for the session today--it was super helpful!
I have access to a pretty large network of camera trappers, and I'm currently surveying them to see who might be willing to share data with me. That being said, I can likely get data-sharing agreements with each of these agencies sorted out before the application deadline, but may not have the data in-hand by this time due to a lack of resources for transferring such large amounts of data.
I've used Azure Storage Explorer before to rapidly transfer large datasets like this, so I think it might be easier to compile all data in one location once we have access to the VMs. Would it be acceptable to apply with the signed data-sharing agreements in mind, and with the intent of organizing all of the data once we acquire access to the computing resources?
4 November 2022 6:02pm
Yes, that's definitely ok! You should just outline your larger plan and where you are at in the process in your application. However, the compute resources are intended to be used for model training and won't be available too far in advance of the school (or at least I can't guarantee they will be) , so you would need to make a plan for pre-summer workshop data storage, wrangling, and curation to get the data ready to train models on. Let me know if you're having issues with that and I can try to help brainstorm.
9 December 2022 8:23pm
Quick reminder that the deadline for applications is just shy of a week away.
This workshop is particularly geared to teach ecologists computer vision tools to apply to their research.
Tired of trying to manually count how many animals are in your images? Tired of listening to audio files to classify/detect species? Looking to clean and manage your data so that you can more easily access and analyze it? We're happy and eager to help you apply computer vision tools to try to help with these (and more!) tasks!
More info:
Feel free to comment here or message me directly if you have any questions!
PhD - Sensory ecology of vespine wasps
8 December 2022 12:47pm
Post Doctoral Fellow - Computer Vision/Arctic Avian Ecology
7 December 2022 4:21am
New: Satellites for Biodiversity Award
5 December 2022 2:08pm
Connection needed!
15 November 2022 4:23pm
22 November 2022 2:46pm
Maybe she is not based in Asia, but you could check Lily Xu, who gave a presentation at the IUCN World Congress a year ago on using AI against poaching in Cambodia. The project is called Protection Assistant for Wildlife Security (PAWS).
For a summary of this project and another ( presented by a man ) see
24 November 2022 3:55pm
Thank you so much!
2 December 2022 3:14pm
Hahaha, now I see why you were asking ...
PhD Positions at University of Michigan CSE
23 November 2022 3:02pm
MozFest 2023 call for proposals on Tech & Biodiversity
22 November 2022 11:10am
Dear AI, We Have Trust Issues
![](/sites/default/files/2022-10/LOBhbatz_400x400_0.jpg)
14 November 2022 11:09pm
Hierarchical Deep Learning to Improve Automatic Classification of Pests and Biodiversity Monitoring in Agroecosystems
8 November 2022 3:46pm
Spatial Data Analysis, TNC
![](/sites/default/files/screen_shot_2020-12-17_at_5.16.51_pm-.png)
8 November 2022 11:34am
Senior AI Research Scientist, Earth Species Project
![](/sites/default/files/screen_shot_2021-04-27_at_5.11.40_pm_0-.png)
8 November 2022 11:27am
New paper: Integrating machine learning, remote sensing and citizen science to create an early warning system for biodiversity
7 November 2022 7:10pm
Opinion paper describing "how data acquired from remote sensing, citizen science & other monitoring approaches could feed in near-real time to an early warning system for biodiversity that integrates automated red-listing of species with the identification of priority areas for conservation."
Environmental Monitoring: Necessary, Not Sufficient, Sometimes Problematic
![](/sites/default/files/2022-10/LOBhbatz_400x400_0.jpg)
28 October 2022 12:51am
ConservationAI
20 October 2022 2:41pm
20 October 2022 7:32pm
Out of curiosity, what are the similarities/differences between your platform and other image classification ones such as Wildlife Insights, WildID, ZambaCloud? I don't mean that in like a "what's best" way, just would be great to better understand the the details so that people can assess what to try for their specific use cases & applications!
It would be great to have a comparative specs sheet of sorts! Peter Gyurov started something like that: https://www.notion.so/Camera-Trap-Pipeline-Solution-Comparison-2eac80825c4941b0b2b5fad3daea1cc3. Would be great to add ConservationAI to this list!
Conservation Technology Intern (Vietnam)
![](/sites/default/files/screen_shot_2020-11-25_at_1.02.56_pm-.png)
19 October 2022 9:22am
Introducing G.AI.A: Artificial Intelligence and Planetary-Scale Environmental Management
![](/sites/default/files/2022-10/LOBhbatz_400x400_0.jpg)
13 October 2022 1:48am
Try AI Micro-Internship 2023
11 October 2022 5:42pm
Upcoming WWF Webinar Series: Artificial Intelligence and Conservation
![](/sites/default/files/wwf_master_logo_light_background-.jpeg)
11 October 2022 12:30pm
Artificial Intelligence and Conservation: Ethics
11 October 2022 12:28pm
Artificial Intelligence and Conservation: Prediction
11 October 2022 12:27pm
Artificial Intelligence and Conservation: Where We Are Now
11 October 2022 12:23pm
The Smart Biosphere: How Technology can provide regenerative resources at scale
10 October 2022 12:06pm
Frontiers Symposium: Digital tools for reversing environmental degradation
5 October 2022 10:23am
4 November 2022 5:24pm
Why would you want to avoid alerting the rangers ?
You don't need high tech for this; elephants leave very obvious tracks and sign.