AI for Conservation

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Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera trap and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data.

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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!

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@ImaniWilson
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Zoology with a placement year graduate from Bangor University. Interested in large African mammal movement and behaviour in response to climate change, particularly African elephants

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@Fatuma
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I aim to transition my career towards conservation technology after gaining two years of experience in the tech industry.

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@Heloise
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Bio-acoustician, marine biologist, marine mammal specialist, drone enthusiast

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@Dellecker

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Latin American environmental scientist.

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@katja
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AI/ML consultant for climate/environment solutions industry

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@amklovrza
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Hello! My name is Anabelle Marques Klovrza and I am a Ph.D. student at Dawson's lab. I am studying community assembly of island-like environments, and in trying to connect it with the vulnerability and fragility of the ecosystem.

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@Giu.Appel
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Brazilian biologist, PhD in Ecology and 10 yrs of experience in the Amazon with bat bioacoustics

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@Dominik
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PhD Student on bio- and ecoacoustics at the University of Freiburg (GER)

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@Janane.S.S

I am nature lover and now lost the tolerance to just be an admirer watching its destruction. Hence joining this crew to contribute my supportive work much lesser than a penny worth

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Description	Activity	Replies	Groups	Updated
Exploring an ethical reflection tool for animal-focused tech (Survey)	Hi everyone! My name is Leah Govia and I am a PhD candidate at the University of Guelph, Canada. My research explores what people...		Ethics of Conservation Tech, Conservation Tech Training and Education, AI for Conservation	1 year 6 months ago
Passionate engineer offering funding and tech solutions pro-bono.	Hi Danilo. you seem very passionate about this initiative which is a good start.It is an interesting coincidence that I am starting another project for the coral reefs in the...		Acoustics, AI for Conservation, Animal Movement, Camera Traps, Citizen Science, Climate Change, Community Base, Connectivity, Drones, Emerging Tech, Human-Wildlife Coexistence, Open Source Solutions, Sensors, Software Development, Wildlife Crime, Funding and Finance	1 year 6 months ago
Monitoring setup in the forest based on the wifi with 2.4 GHz frequency.	I would recommend going with Ubiquity 2.4Ghz devices which have performed relatively well in dense foliage of the California Redwood forests. It took a lot of tweaking to...		Acoustics, AI for Conservation, Connectivity, Open Source Solutions	1 year 6 months ago
Using "motion extraction" for animal identification	Very nice video in the link you posted btw:Here is another less artistic one:		Camera Traps, AI for Conservation	1 year 7 months ago
Wildlife Conservation for "Dummies"	I'm also here for this. This is my first comment... I've been lurking for a while.I have 20 years of professional knowledge in design, with the bulk of that being software design...		AI for Conservation, Camera Traps, Data management and processing tools, Software Development	1 year 7 months ago
Presentation opportunity: Text analysis for conservation (NACCB 2024)	Hi folks! Happy 2024 and thanks in advance for your patience in case I over-used tags. If you’re using any form of natural language...		AI for Conservation, Citizen Science, Climate Change, Conservation Tech Training and Education, Data management and processing tools, Early Career, East Africa Community, Emerging Tech, Ending Wildlife Trafficking Online, Ethics of Conservation Tech, Human-Wildlife Coexistence, Open Source Solutions, Software Development, Wildlife Crime, Women in Conservation Tech Programme (WiCT)	1 year 7 months ago
AI to operate Wildlife Passage Gates	BTW. I found out that the Jetson Orin NX 16GB module is drawing around 20W when running continuous inference, processing streams from 6x cameras at 6 fps.I'll try and find out...		AI for Conservation	1 year 7 months ago
Hydromoth for coastal & offshore surveying	If you are considering an external microphone and a towed system, then you would also be in a position to consider a raspberry pi with an external microphone with sbts-aru....		Acoustics, AI for Conservation, Marine Conservation, Sustainable Fishing Challenges	1 year 7 months ago
Come for the trees and geese, stay for the AI: using computer vision for urban forestry and wildlife monitoring	@dmorris joined Variety Hour to give us 'a bunch of lightning talks inside a lightning talk'. Check out the recording to get a whirlwind...		AI for Conservation, Drones, Geospatial	1 year 8 months ago
Is anyone or platform supporting ML for camera trap video processing (id-ing jaguar)?	Also, take a look at TrapTagger. It has integration with WildMe.	+4	AI for Conservation, Camera Traps	1 year 8 months ago
Seeking Advice for Biodiversity Methodology	We are writing a methodology to measure Biodiversity density in habitats.Examining lots of different options but very keen to hear from...		AI for Conservation	1 year 9 months ago
DeepFaune: a software for AI-based identification of mammals in camera-trap pictures and videos	Hi @GermanFore ,I work with the BearID Project on individual identification of brown bears from faces. More recently we worked on face detection across all bear species and ran...		AI for Conservation, Camera Traps, Data management and processing tools, Software Development	1 year 9 months ago

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