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!
- @DanielHugelmann
- | He / Him
Hi, I'm the co-founder of OceanLabs Seychelles. We design and build environmental and marine remote sensing devices for conservation NGOs. As an engineer and avid diver, with a love for the environment, connecting conservation and technology was the natural thing to do!
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Background in Computer Science, Developing Acoustic AI Tech at Synature
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- @chmod000
- | he/they
I build sensing and perceiving hardware that is designed to address issues that matter to me. That ranges from assistive technologies, to conservation ecology, and connecting individuals with place and each other.
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- @nick56swim
- | He
I am an IoT and embedded ML developer. I am also a nature enthusiast with keen interest in conserving the endangered species
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St. Lawrence University
Professor of Biology at St. Lawrence University
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- @DBayley
- | He/him
Fauna & Flora & University College London (UCL)
I'm a tropical marine ecologist, specialising in coral reefs, MPAs, and blue carbon. Within conservation technology my focus has been around developing underwater imaging techniques, primarily to assist coral reef monitoring
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- @nicoboenisch
- | He / him / his
Co-Director FOS Europe, Conservation Strategist and Technical Advisor to the Miradi Software Team, Improving Conservation through Adaptive Management and Evidence-based Learning
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- @ggmelone
- | she/her
University of Wisconsin-Madison
I am an ecologist and entomologist interested in the effects of climate-change driven stressors on plant-pollinator interactions. I use computer vision camera traps to collect high quality data on insect activity!
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- @EliThore
- | He/Him
Swedish University of Agricultural Sciences
I am a biologist with a broad interest in how the environment affects the behaviour and ecology of wildlife. I also like seeking creative and practical solutions to reduce our impact on the environment.
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- 5 Groups
I am a budding engineer doing Electrical and Telecommunications Engineering and I am passionate about innovation and technology and how I can use it to make an impact in society.
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Are you creative, love new challenges and have experience developing software? The Wildlife Insights team is hiring! Join a diverse team of ecologists, data scientists, engineers and machine learning experts to protect...
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The Marine Robotics and Remote Sensing (MaRRS) Lab at Duke University seeks a highly motivated UAS pilot and geospatial analyst to support the ongoing development of new and existing research and conservation programs,...
10 August 2022
The Marine Robotics and Remote Sensing (MaRRS) Lab at Duke University seeks a highly motivated postdoctoral researcher to support the ongoing development of new and existing research and conservation programs, both...
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Press Release for International Tiger Day – July 29th, 2022: For the first time ever, wild tigers and their prey have been detected by AI-powered, cryptic cameras that transmit the images to the cell phones and...
5 August 2022
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A gentle introduction to the exciting field of embedded machine learning.
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Ceres Tag sends just in time alerts and GPS location to have the power to track and trace.
22 July 2022
The Earth Species Project (ESP) is a nonprofit organization dedicated to decoding animal communication and translating non-human language.
15 July 2022
This WhaleSeeker article discusses how reliable distribution data depends on accurate labelling from survey images, and how AI can improve this process.
13 July 2022
The Pl@ntNet team is looking for a data scientist with strong skills in python and pytorch development. Pl@ntNet is a citizen observatory of plant biodiversity & research platform at the crossroads of data science,...
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Description | Activity | Replies | Groups | Updated |
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Hi Wildlabbers, This week is the last episode of Tech Tutors Season 2! Elizabeth Bondi tackled the question "How do I... |
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AI for Conservation, Drones | 3 years 6 months ago | |
Thanks Carly, These are great ideas. The movebank recommendation reminds me of some work from Save the Elephants that used its transparency to exonerate an elephant that had... |
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AI for Conservation | 3 years 6 months ago | |
This works very well, and can remove the movie strip icons from the edges of the thumbnails, which obscure animals just coming into the frame. https://icaros.en.softonic... |
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AI for Conservation | 3 years 6 months ago | |
Dan's comments about the need for technologists and conservationists to manage and share (properly annotated) data struck a chord with me, it was right at the end of the... |
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AI for Conservation, Data management and processing tools | 3 years 6 months ago | |
Hi Alex, that sounds great! Feel free to email me at [email protected], that may be simpler. |
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AI for Conservation | 3 years 6 months ago | |
Hi. Just watched the Youtube version (I'm in the unable to watch live hemisphere) and wanted to say that was a great talk. I wish it could have gone for another hour. I liked... |
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AI for Conservation, Camera Traps | 3 years 6 months ago | |
I know I'm very late, but I only discovered this recently. Is your team still active/accepting new members? |
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AI for Conservation | 3 years 7 months ago | |
Hi @pmnguyen1224 , thanks for reaching out and checking out the system! We would love to help ensure that you're able to get pattern matching to work for... |
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Acoustics, AI for Conservation | 3 years 7 months ago | |
Hi Andrew, Yo need to train a lightweight DNN model for bird flocks which can then be deployed on Raspberry Pi. For initial starters, you can look into the below tutorial:... |
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AI for Conservation | 3 years 8 months ago | |
This is great, thanks for sharing. |
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AI for Conservation | 3 years 9 months ago | |
AI for Climate Forum: Lightning Talks Bonnie Lei, Microsoft AI for Earth - 4pm GMT, October 30 Register here: https://us02web.zoom.us/webinar/register/... |
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AI for Conservation | 3 years 9 months ago | |
Hi Wildlabbers, Just popping in to share this very cool primer for beginners to embedded machine learning from our tutor Daniel Situnayake! If you're interested in... |
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AI for Conservation, Camera Traps | 3 years 10 months ago |