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!
Remote Sensing Surveyor with interest in GIS, data science and bioacoustics.
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International Union for the Conservation of Nature (IUCN)
Key Biodiversity Areas Programme Officer, IUCN
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Dr. Kadambari Devarajan is an engineer-turned-ecologist working on biodiversity monitoring. (Website - http://kadambarid.in/)
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I studied sustainability and worked in the international dev sector, I have tech skills in UX, data-analytics and graph modelling, can prototype web services and want to help in nature conservation.
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Simeone Consulting
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International Union for the Conservation of Nature (IUCN)
Invasive species/law enforcement/project management/Asia/Australia
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Terrestrial Ecologist
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Funding
Protecting elephants from conservation's most pressing issues like poaching and human-wildlife conflict requires big, bold, and innovative solutions. Hackster.io, Smart Parks, Edge Impulse, Microsoft, and several other...
11 August 2020
This exciting news article about The Global Wetland Project's FishID platform discusses the latest improvements and developments in using deep learning to identify individual fish species underwater. In addition to...
28 July 2020
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
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Description | Activity | Replies | Groups | Updated |
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Thanks, @pvlun,@pvlun we are going to try it to develop a model for feral cat and rat detection in camera trap. |
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AI for Conservation | 10 months 3 weeks ago | |
A new COST action has been announced which will focus on the use of computer vision for monitoring insects.InsectAI will run for 4 years... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 11 months 1 week ago | |
Carly, that would be great! Thanks! I work with soundscapes and love the work of Rainforest Connection! I'll send you an email (@CUNY) to coordinate! |
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Acoustics, AI for Conservation, Conservation Tech Training and Education, Drones, eDNA & Genomics, Emerging Tech, Remote Sensing & GIS | 1 year ago | |
Hi Donya! You might check out the Conservation Tech Directory to see what projects/organizations/tools best align with your interests and skills. |
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Acoustics, AI for Conservation, Camera Traps, Drones | 1 year ago | |
Hey everyone, I am super excited to share two announcements with the Community!🏆🌍 Our flagship Data4Good project - Mbaza AI... |
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AI for Conservation, Camera Traps | 1 year ago | |
That sounds like a really neat project! Do fish get re-caught often enough that individual ID is useful? Is sample bias (more data from popular spots) an issue? |
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AI for Conservation, Citizen Science, Software and Mobile Apps | 1 year 1 month ago | |
Hi everybody 👋🏽,I'm a UX designer, and I design interfaces and improve user experiences/flows. I would love to contribute to conservation... |
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AI for Conservation, Conservation Tech Training and Education, Emerging Tech, Human-Wildlife Conflict | 1 year 1 month ago | |
Thanks Bas! I'll look into SSD vs RCNNs, I'd never heard of an SSD. |
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AI for Conservation, Camera Traps | 1 year 1 month ago | |
greetings! i sent you a PM regarding this, feel free to contact me however is most convenient for you - regards,chris |
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Acoustics, AI for Conservation, Camera Traps, Climate Change, East Africa Community, Wildlife Crime | 1 year 1 month ago | |
I'm looking for any recommendations for any entry level/internship remote roles/companies in the United States that are focused in... |
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AI for Conservation, Conservation Tech Training and Education, Early Career, Remote Sensing & GIS | 1 year 1 month ago | |
Hi everyone! and thanks @StephODonnell for the invite :)I’m a software engineer working on MLOps, and currently studying for a part-time... |
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AI for Conservation, Open Source Solutions | 1 year 1 month ago | |
Indeed, I'll be there too! I like to meet new conservation friends with morning runs, so I will likely organize a couple of runs, maybe one right near the conference, and... |
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Acoustics, AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps, Remote Sensing & GIS | 1 year 2 months ago |