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!
Mobile developer w/ a passion for nature and conservation
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20+ years traveler and management consultant turned tech founder and conservationist. Founder & CEO of Zambezi Zero; super intelligence to solve for the biosphere SDGs.
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- @tobiaspetri
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Schäuffelhut Berger GmbH
data science & algorithmic development
for movement ecology
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R & D Tech | Industrial Designer | Wildlife Management Technology
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I'm a researcher in aquatic sciences, studying connections between fish biology and endocrine systems that govern growth and reproduction, contributing to fisheries management, conservation efforts and aquaculture innovations.
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A conservation data scientist and field ecologist with broad interest in the application of machine learning and population genetics to the conservation of threatened species. Alex has conducted field studies throughout central and south America, the Caribbean, and North America.
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Alberta Biodiversity Monitoring Institute (ABMI)
I am an ornithologist with a particular interest in passive acoustic monitoring and AI solutions.
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Passionate supporter of New Zealands predator free 2050 goals. Founder of both eTrapper Ltd - offering IoT solutions to enhance efficiencies of conservation projects, and Maungakiekie Songbird - a community based project to enhace local habitat around One Tree Hill in Auckland.
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FLOATERS: Using individually distinct vocalizations to estimate breeding and non-breeding population of a species. Apply for the fully funded PhD position now!
20 October 2023
Many people know of the Mozilla Foundation because of the FireFox browser and other open source software they produce together with countless volunteers. Perhaps less well known, the Mozilla Foundation also runs a...
4 October 2023
We're delighted to announce that Connected Conservation Foundation and Airbus Foundation have today launched round 2 of the ‘Satellites for Biodiversity Award’.
2 October 2023
Careers
Could you be our next team member to help empower conservation through data and technology?
28 September 2023
Careers
Island Conservation's Innovation Team is dedicated to developing innovative, data-driven tools to increase the scale, scope, and pace of island restorations around the world. As the Conservation Innovation Manager, you...
27 September 2023
Varaha is seeking a Geospatial Data Scientist to help design, build, and deliver a compelling spatial data science platform and develop industry leading AI models for satellite imagery.
25 September 2023
The partnership will support the Global South with the development, planning and management of marine protected areas (MPAs) in the high seas.
22 September 2023
The new white paper from Rainforest Connection (RFCx) explores the power of ecoacoustics and AI to monitor biodiversity and track progress towards GBF targets using case studies from around the world.
20 September 2023
The program’s third cohort will provide $300,000 to artificial intelligence projects making a positive impact in ecosystems and human communities.
15 September 2023
Article
Five #tech4wildlife people, projects and updates that caught our attention this month. An AI supported bear early warning system, a project that's connecting indigenous communities with high speed internet, exploring...
12 September 2023
Can you create an ecological data collection application on Android for Gibbon and Biodiversity Research. Check out this opportunity with us!
24 August 2023
Please join us in celebrating this year’s top #Tech4Wildlife Photo Challenge Honorees as chosen by our panel of leading conservation organization judges, and enjoy the story contained within these entries about how our...
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Description | Activity | Replies | Groups | Updated |
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Great talk! I thoroughly enjoyed it. Some high schoolers have done small AI projects(s) and have interest in the wildlife. What resources would you all suggest to further... |
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AI for Conservation, Camera Traps | 4 years 1 month ago | |
DeepForest docs are here. https://deepforest.readthedocs.io/ Welcome to have a look. My experience is that individual trees cannot be distinguished in satellite... |
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AI for Conservation | 4 years 4 months ago | |
Steph, thank you so much for this, this is wonderful :) Really, really apreciate you sharing this with me :) Diving into all of the wonderful resources from you, thank you so very... |
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AI for Conservation | 4 years 4 months ago | |
A call put out over on Twitter by Jesse Alston might be of interest here - both for conservationists and grad students. Looks like... |
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AI for Conservation | 4 years 4 months ago | |
This can be done, happy to help :) But I think I need to understand the situation a little bit more. Do you already have the data for training / inference? Do you have any... |
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AI for Conservation | 4 years 4 months ago | |
Hi there this post on Conservation X labs recently came up on designing softwarre for individual horse recognition: https://... |
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AI for Conservation | 4 years 5 months ago | |
Wildlife Insights launched their online platform hosting over 4 million camera trap images. They use AI to automatically classify the... |
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AI for Conservation | 4 years 7 months ago | |
Hey everyone! My colleagues and I are hosting a workshop on Animal Re-ID, and the submission deadline is a little less than a month... |
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AI for Conservation | 4 years 8 months ago | |
Chuck's Python for Everyone course is available these days at www.py4e.com, and he's also created a course called Web Apps for Everyone www.wa4e.com. Both... |
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AI for Conservation | 4 years 9 months ago | |
Hi all! This is a great article summarizing new applications for AI for conservation, and highlights @vsahai 's work with... |
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AI for Conservation | 5 years ago | |
Wild Me (wildme.org) is looking to retain a UI/UX Machine Learning Engineer to help translate advanced ML into beautiful interfaces... |
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AI for Conservation | 5 years 1 month ago | |
Wild Me (wildme.org) is looking to hire a second, Masters or PhD-level Senior Computer Vision Engineer to focus on individual ID of... |
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AI for Conservation | 5 years 1 month ago |
ibm-nasa-geospatial (IBM NASA Geospatial)
28 March 2024 9:22am
NASA and IBM have teamed up to create an AI Foundation Model for Earth Observations, using large-scale satellite and remote sensing data, including the Harmonized Landsat and Sentinel-2 (HLS) data.
Applying Open-Source AI to Camera Trap Imagery
27 March 2024 4:34pm
AI for Conservation!
4 March 2024 8:51pm
22 March 2024 5:57pm
Thank you for the tip! I'll definitely consider contributing to open source projects and taking part in challenges :)
25 March 2024 5:22am
We could always use more contributors in open source projects. In most open source companies Red Hat, Anaconda, Red Hat and Mozilla, people often ended up getting hired largely due to their contributions on open source projects. These contributions were both technical such as writing computer code and non-technical such as writing documentation and translating tools in their local language.
The Variety Hour: 2024 Lineup
22 March 2024 4:30pm
Catch up with The Variety Hour: March 2024
21 March 2024 7:39pm
21 March 2024 9:48pm
30 March 2024 3:08pm
31 March 2024 12:43pm
SLN Webinar: Tech for wildlife: The role AI and technology can play in nature conservation
18 March 2024 9:17am
BirdWeather | PUC
27 October 2023 7:45pm
2 November 2023 9:20pm
I love the live-stream pin feature!
14 March 2024 10:29pm
Hi Tim, I just discovered your great little device and about to use it for the first time this weekend. Would love to be directly in touch since we are testing it out as an option to recommend to our clients :) Love that it includes Australian birds! Cheers Debbie
16 March 2024 10:47pm
Hi @timbirdweather I've now got them up and running and winding how I can provide feedback on species ID to improve the accuracy over time. It would be really powerful to have a confirmation capability when looking at the soundscape options to confirm which of the potential species it actually is or confirm it is neither to help develop the algorithms.
Also, is it possible to connect the PUC to a mobile hotspot to gather data for device that isn't close to wifi? And have it so that it can detect either wifi or hotspot when in range? Thanks!
Data Manager and Technology Coordinator, ABC Global Climate Center
15 March 2024 5:01pm
The Freshwater Sounds Archive
15 March 2024 10:32am
Introducing The Freshwater Sounds Archive, a global database of sounds produced by freshwater species.
Submit your species-specific or unidentified sounds to the archive now and receive recognition for your contribution in a forthcoming data paper as a co-author!
Free AI Camera Trap Model for European Fauna!
12 March 2024 12:33pm
EcoAssist has now incorporated the Deepfaune v1.1 species identification model for camera trap images, capable of recognizing 26 European species. The model is developed by Deepfaune initiative. More information is available at: https://www.deepfaune.cnrs.fr/.
Labelled Terrestrial Acoustic Datasets
16 February 2024 10:24pm
8 March 2024 11:54pm
Thanks for sharing Kim.
We're using <1 mA while processing, equating to ~9 Ah running for a year. The battery is a Tadiran TL-5920 C 3.6V Lithium, providing 8.6 Ah, plus we will a small (optional) solar panel. We also plan to implement a threshold system, in which the system is asleep until noise level crosses a certain threshold and wakes up.
The low-power MCU we are using is https://ambiq.com/apollo4/ which has a built-in low power listening capability.
9 March 2024 6:25am
<1 mA certainly sounds like a breakthrough for this kind of device. I hope you are able to report back with some real world performance information about your project @jcturn3 . Sounds very promising. Will the device run directly off the optional solar cell or will you include a capacitor since you cannot recharge the lithium thionyl chloride cell. I had trouble obtaining the Tadarian TL-5920 cells in Australia (they would send me old SL-2770s though) so I took a gamble on a couple of brands of Chinese cells (EVE and FANSO) which seemed to perform the same job without a hitch. Maybe in the USA you can get Israeli cells more easily than Chinese ones?
Message me if you think some feeding sounds, snoring, grooming and heart sounds of koalas would be any use for your model training.
9 March 2024 7:01am
Really interesting project. Interesting chip set you found. With up to around 2mb sram that’s quite a high memory for a ultra low power soc I think.
It might also be interesting while doing your research thinking about if there are any other requirements people could have for such a platform with a view towards more mass usage later. Thanks for sharing.
Here's what you missed at World Wildlife Day 2024
7 March 2024 9:02pm
15 March 2024 2:42pm
EcoAssist - Free African species identification model for 30 species!
5 March 2024 5:10pm
1 April 2024 6:04pm
Machine Learning Postdoc Position, Understory
29 February 2024 11:56pm
Engineer in novel technologies and approaches for biodiversity monitoring
26 February 2024 6:12pm
Needing help from the community: Bioacoustics survey
14 February 2024 9:46am
24 February 2024 7:23pm
Was great to chat with you Sofia and I would encourage others in the Acoustics community to help provide input for Sofia's study!
26 February 2024 8:57am
Thank you so much for your encouraging words! I'm thrilled to hear that you enjoyed our conversation, and I truly appreciate your support in spreading the word about my survey within the Acoustics community. Input from individuals like yourself is incredibly valuable to my study, and I'm eager to gather as much insight as possible. If you know of anyone else who might be interested in participating, please feel free to share the survey link with them. Once again, thank you for your support—it means a lot to me!
Best regards,
Sofia
Tools for automating image augmentation
26 January 2024 2:33pm
16 February 2024 7:42am
Hi @arky !
Thanks for your reply.
I am running into pytorch/torchvision incompatibility issues when trying to run your script.
Which versions are you using?
Best regards,
Lars
18 February 2024 11:05am
@Lars_Holst_Hansen Here is the information you requested. Also run Yolov8 in multiple remote environments without any issues. Perhaps you'll need to use a virtual environment (venv et al) or conda to remedy incompatibility issues.
$ yolo checks
Ultralytics YOLOv8.1.4 🚀 Python-3.10.12 torch-1.13.1+cu117 CUDA:0 (Quadro T2000, 3904MiB)
Setup complete ✅ (16 CPUs, 62.5 GB RAM, 465.0/467.9 GB disk)
OS Linux-6.5.0-17-generic-x86_64-with-glibc2.35
Environment Linux
Python 3.10.12
Install pip
RAM 62.54 GB
CPU Intel Core(TM) i7-10875H 2.30GHz
CUDA 11.7
matplotlib ✅ 3.5.1>=3.3.0
numpy ✅ 1.26.3>=1.22.2
opencv-python ✅ 4.7.0.72>=4.6.0
pillow ✅ 10.2.0>=7.1.2
pyyaml ✅ 6.0.1>=5.3.1
requests ✅ 2.31.0>=2.23.0
scipy ✅ 1.11.4>=1.4.1
torch ✅ 1.13.1>=1.8.0
torchvision ✅ 0.14.1>=0.9.0
tqdm ✅ 4.66.1>=4.64.0
psutil ✅ 5.9.8
py-cpuinfo ✅ 9.0.0
thop ✅ 0.1.1-2209072238>=0.1.1
pandas ✅ 1.5.3>=1.1.4
seaborn ✅ 0.12.2>=0.11.0
18 February 2024 11:18am
Perfect thanks! I am still a novice using Python but my wife can help me!
3x Ai 4 Conservation Job Roles (UK)
15 February 2024 3:28pm
Exploring an ethical reflection tool for animal-focused tech (Survey)
13 February 2024 8:22pm
Computer Vision for Ecology Workshop 2025 Call for Applications
12 February 2024 9:29pm
Post-doc possition - Field spanning movement ecology, ecology of fear, bio-logging science, behavioral ecology, and ecological statistics
10 February 2024 7:20am
Apply Now: UW Data Science for Social Good Projects
8 February 2024 6:45pm
Sign up for Data Science for Social Good 2024! This summer program is a great opportunity to get dedicated data science support on a conservation (tech) project or to get rich experience as a student in the field. More info in the link - student apps due 2/12, projects due 2/20.
PhD Opportunity - Exploring plants’ sensing capability with vibroacoustics
8 February 2024 5:35pm
Southern African Wildlife Management Association Conference 2024
6 February 2024 12:20pm
Passionate engineer offering funding and tech solutions pro-bono.
23 January 2024 12:06pm
26 January 2024 3:18pm
Hi Krasi! Greetings from Brazil!
That's a cool journey you've started! Congratulations. And I felt like theSearchLife resonates with the work I'm involved round here. In a nutshell, I live at the heart of the largest remaining of Atlantic forest in the planet - one of the most biodiverse biomes that exist. The subregion where I live is named after and bathed by the "Rio Sagrado" (Sacred River), a magnificent water body with a very rich cultural significance to the region (it has served as a safe zone for fleeing slaves). Well, the river and the entire bioregion is currently under the threat of a truly devastating railroad project which, to say the least is planned to cut through over 100 water springs!
In face of that the local community (myself included) has been mobilizing to raise awareness of the issue and hopefully stop this madness (fueled by strong international forces). One of the ways we've been fighting this is through the seeking of the recognition of the sacred river as an entity of legal rights, who can manifest itself in court, against such threats. And to illustrate what this would look like, I've been developing this AI (LLM) powered avatar for the river, which could maybe serve as its human-relatable voice. An existing prototype of such avatar is available here. It has been fine-tuned with over 20 scientific papers on the Sacred River watershed.
And right now myself and other are mobilizing to manifest the conditions/resources to develop a next version of the avatar, which would include remote sensing capacities so the avatar is directly connected to the river and can possibly write full scientific reports on its physical properties (i.e. water quality) and the surrounding biodiversity. In fact, myself and 3 other members of the WildLabs community have just applied to the WildLabs Grant program in order to accomplish that. Hopefully the results are positive.
Finally, it's worth mentioning that our mobilization around providing an expression medium for the river has been multimodal, including the creation of a shortfilm based on theatrical mobilizations we did during a fest dedicated to the river and its surrounding more-than-human communities. You can check that out here:
Let's chat if any of that catches your interest!
Cheers!
2 February 2024 1:22pm
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 Philipines which also requires water analytics so I can probably work on both projects at the same time.
Let's that have a call and discuss, will send you a pm with my contact details
There is a tech glitch and I don't get email notifications from here.
Jupyter Notebook: Aquatic Computer Vision
25 January 2024 5:50am
26 January 2024 1:46pm
This is quite interesting. Would love to see if we could improve this code using custom models and alternative ways of processing the video stream.
27 January 2024 4:07am
This definitely seems like the community to do it. I was looking at the thread about wolf detection and it seems like people here are no strangers to image classification. A little overwhelming to be quite honest 😂
While it would be incredible to have a powerful model that was capable of auto-classifying everything right away and storing all the detected creatures & correlated sensor data straight into a database - I wonder if in remote cases where power (and therefore cpu bandwidth), data storage, and network connectivity is at a premium if it would be more valuable to just be able to highlight moments of interest for lab analysis later? OR if you do you have cellular connection, you could download just those moments of interest and not hours and hours of footage?
27 January 2024 6:11am
Am working on similar AI challenge at the moment. Hoping to translate my workflow to wolves in future if needed.
We all are little overstretched but it there is no pressing deadlines, it should be possible to explore building efficient model for object detection and looking at suitable hardware for running these model on the edge.
New paper - An integrated passive acoustic monitoring and deep learning pipeline for black-and-white ruffed lemurs in Ranomafana National Park, Madagascar
23 January 2024 4:08pm
19 February 2024 4:22pm
19 February 2024 5:46pm
Monitoring setup in the forest based on the wifi with 2.4 GHz frequency.
30 December 2023 4:39pm
18 January 2024 8:17pm
Hi Dilip,
I do not have data about signal distortion in a forest area and with the signal you are intended to use.
However, in a savannah environment, when I put a tour on the highest point of the park, Lora signal (avg 900MHz) is less distorted than WiFi signal (2.4GHz). This is normal as a physics law: the frequency determines the wave length, and the less the length (obviously the less the frequency), the less obstructed the signal.
So, without interfering with your design, I would say that in a forest configuration, WiFi will need more access points deployed and may be more costly, and in your context, even when using LoRa, you will need more gateways than I have in a savannah.
To design the approximate number of gateways, you may need to use terrain Visibility analysis.
To design the cameras deployment, you will need to comply with the sampling methods defined in your research. However, if it is on for surveillance reasons, you may need to rely on terrain visibility analysis also.
Best regards.
22 January 2024 6:22pm
I've got quite a lot of experience with wireless in forested areas and over long(ish) ranges.
Using a wifi mesh is totally possible, and it will work. You will likely not get great range between units. You will likely need to have your mesh be fairly adaptable as conditions change.
Wireless and forests interact in somewhat unpredictable ways it turns out. Generally, wireless is attenuated by water in the line-of-sight between stations. From the Wifi perspective, a tree is just a lot of water up in the air. Denser forest = more water = worse communications. LoRa @ 900Mhz is less prone to this issue than Wifi @ 2.4Ghz and way less prone than Wifi @ 5Ghz. But LoRa is also fairly low data rate. Streaming video via LoRa is possible with a lot of work, but video streaming is not at all what LoRa was build to do, and it does it quite poorly at best.
The real issue I see here is to do with power levels. CCTV, audio streaming, etc are high data rate activities. You may need quite a lot of power to run these systems effectively both for the initial data collection and then for the communications.
If you are planning to run mains power to each of these units, you may be better off running an ethernet cable as well. Alternatively, you can run "power line" networking, which has remarkably good bandwidth and gets you back down to a single twisted pair for power and communications.
If you are planning to run off batteries and/or solar, you may need a somewhat large power system to support your application?
23 January 2024 1:19am
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 find paths through the dense tree cover as mentioned in the previous posts.
A gentle introduction to computer vision-based specimen classification in ecological datasets
26 January 2024 2:20pm
26 January 2024 2:24pm
22 March 2024 12:29pm
Welcome, Have you considered participating in any of the AI for Good challenges. I find it is good way to build a nice portfolio of work. Also contributing to existing open source ML projects such as megadetector or to upstream libraries such as PyTorch is good way to getting hired.