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!
- @lvgliarose
- | she/her
Bat Conservation Trust
Research Manager at Bat Conservation Trust
- 0 Resources
- 8 Discussions
- 12 Groups
- @Ebennitt
- | She/her
Working primarily in Botswana and other southern African countries, on wild mammal movement, ecology and physiology
- 0 Resources
- 4 Discussions
- 5 Groups
- @sehuebner
- | she/her
Wildlife Ecologist and Program Manager at the Smithsonian Institution
- 0 Resources
- 3 Discussions
- 9 Groups
I have mixed experiences from 20+ years doing SATCOM and other IT roles with the US Army. I also have 4 years experience working in the marine environment doing forage fish spawning research. My goal is to advance my abilities in AI to bring into the realm of wildlife research.
- 0 Resources
- 0 Discussions
- 5 Groups
- @jguenter
- | he/him/his
Species360 CEO - passionate about using data to care for and conserve species
- 0 Resources
- 0 Discussions
- 5 Groups
I have worked in the vertebrate pest industry for over 11 years and am on the practical, on the ground implementation of AI animal control systems.
- 0 Resources
- 0 Discussions
- 1 Groups
- @steventay
- | TAY
Dynamique ET PROACTIF, JE SUIS PASSIONNÉ PAR LA PROTECTION DE L'ENVIRONNEMENT, LE TOURISME RESPONSABLE ET LA CONSERVATION DES ÉCOSYSTÈMES.
- 0 Resources
- 0 Discussions
- 8 Groups
- @Aurel
- | She/Her
Looking to reconcile biodiversity conservation and finance.
- 0 Resources
- 0 Discussions
- 10 Groups
- @Kyle_Birchard
- | He/Him
Building tools for research and management of insect populations
- 0 Resources
- 0 Discussions
- 6 Groups
- @diego_ellis_soto
- | he/him
University of California & California Academy of Sciences
Biodiversity |Technology | Socio-Ecological Systems | Wildlife Ecology | Remote Sensing | Conservation | K12STEM-education | Music | diegoellissoto.org
- 0 Resources
- 0 Discussions
- 20 Groups
- @dka32
- | He
I am a highly motivated individual with a background in Natural Resources Management. I am a conservationist who desire to make an impact in the field of conservation using technology.
- 0 Resources
- 3 Discussions
- 1 Groups
Retired Engineer / UAV interests / Photographer
- 0 Resources
- 3 Discussions
- 1 Groups
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Using Swiss AI and Drones to Count African Wildlife
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After a promising first run in Namibia, a Swiss project could aid savanna conservation using drones and automatic image analysis.
18 February 2019
Article
Jacqueline Ramos explains how artificial intelligence can help to track and prevent chimpanzee trafficking across the globe.
6 February 2019
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The Open Data Institute and the Office for AI are partnering to explore how data trusts could help to solve environmental, societal and industry challenges by enabling increased access to data while retaining trust....
31 January 2019
Funding
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With the aim of advancing rewildling-related technology in the UK and introducing new talent and ideas into the field of rewildling, Ecosulis is thrilled to announce the launch of their first ever Rewilding Tech...
14 January 2019
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Canopy cameras shed new light on monkey business in Brazil
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A team of Brazilian biologists supported by the Conservation Leadership Programme (CLP) is unlocking the secrets of one of the world’s most fragile and threatened biodiversity hotspots thanks to the success of a...
22 November 2018
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Ted Schmitt joined us for a lunchtime lecture in which he shared his experiences working across Africa the past five years with protected area managers, anti-trafficking organisations, and scientists to effectively...
22 November 2018
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Machine learning is widely recognized as the solution to camera trap data processing, but a user-friendly and broadly-accessible system for putting this tech to use has not yet been developed. In this case study,...
1 October 2018
Article
In this case study, conservation ecologist Ayesha Tulloch takes us behind the scenes of her recent paper, which came out in Nature Ecology & Evolution earlier this month. In this paper, Ayesha and her team present a...
20 August 2018
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Thermal Sensor Project Update: Testing with live animals at the San Diego Zoo
Arribada Initiative
The winners of our Human Wildlife Conflict Tech Challenge are offering regular updates throughout the year to chronicle their failures, successes and what they learn along the way as they develop their solutions. In...
27 July 2018
Funding
$90K in grants from the Con X Tech Prize
WILDLABS Admin
Looking to prototype or pilot a new conservation tech idea or approach? Conservation X Labs is running an idea competition for teams to create a first draft (i.e. prototype) of their conservation solution. 20 finalists...
11 June 2018
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HWC Tech Challenge: Thermopile Sensor Project
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Conflict between humans and wildlife is increasing as human communities expand and wild habitats are destroyed, prompting need for new mitigation techniques. As a winner of the Human Wildlife Conflict Tech Challenge,...
19 April 2018
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Linkedin mainly. iNaturalist and eBird ofc but these are more communities than real social networks. But, and this is a real advice, a good RSS feed reader with all your... |
+5
|
AI for Conservation, Community Base | 2 months 2 weeks ago | |
| Hi Maureen, thanks a lot for this. Seemed more or less perfect so I applied :)Also didn't realise there was a slack community so I'll be scanning that too... |
|
AI for Conservation | 2 months 3 weeks ago | |
| Hey everyone,On Monday, we are starting the test phase of our first MVP version!We are looking for a limited number of testers and still... |
|
AI for Conservation | 2 months 3 weeks ago | |
| Hi Dan, Not right now but I can envision many uses. A key problem in RS is data streams for validation and training of ML models, its really not yet a solved problem. Any... |
|
Emerging Tech, AI for Conservation, Animal Movement, Build Your Own Data Logger Community, Camera Traps, Connectivity, Conservation Tech Training and Education, Data management and processing tools, Geospatial, Sensors | 3 months ago | |
| Thanks @eugenegalaxy . Much appreciated and I will go through this thoroughly! |
|
AI for Conservation | 2 months 3 weeks ago | |
| Hey Bob, thanks for the kind words! Your articles on Winterberry Wildlife have really been a big inspiration for me! There are extremely limited numbers of articles on trial... |
|
AI for Conservation, Camera Traps | 3 months ago | |
| This is probably the most realistic one I've seen made by this tool (stable-difussion v1.5) |
|
AI for Conservation | 3 months ago | |
| We just wanted to share this news outside the core robotics community - hoping to connect more with conservationists, researchers,... |
|
AI for Conservation, Drones | 3 months 1 week ago | |
| Hi Lucie @luciegallegos ,Great to see ecoSecrets and happy to collaborate in any way I can! All EcoAssist's models are open-source, and the inference code too. With regards to... |
+10
|
Software Development, AI for Conservation, Camera Traps | 3 months 1 week ago | |
| Another question. Right now pretty much all camera traps trigger on either PIR sensors or small AI models. Small AI models would tend to have a limitation that they would... |
|
AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 3 months 1 week ago | |
| Hi Lucille,Thank you for your reply! We’d be really interested in learning more about your developments. We’ll contact you soon to arrange a discussion.Thank you.Best regards,... |
|
Acoustics, AI for Conservation, Sensors | 3 months 1 week ago | |
| Hi Lorenzo,I highly recommend the OpenSoundscapes package (developed by the Kitzes Lab at U Pittsburgh) - there are workflows to build your own CNNs there, the documentation is... |
|
Acoustics, AI for Conservation, Animal Movement, Open Source Solutions | 3 months 2 weeks ago |
How do I perform automated recordings of bird assemblages?
Carlos Abrahams
19 June 2020 12:00am
How do I train my first machine learning model?
Daniel Situnayake
9 June 2020 12:00am
How do I get started using Machine Learning for my camera traps?
9 June 2020 12:00am
Innovator Interview: Hack the Poacher
4 June 2020 12:00am
The Perfect Paw Print: Collecting Data with FIT
3 June 2020 12:00am
Competition: 2020 Hackaday Prize
26 May 2020 12:00am
WILDLABS Tech Tutors: Season One
WILDLABS Team
19 May 2020 12:00am
Get To Know FIT
6 May 2020 12:00am
Competition: iWildCam 2020
4 May 2020 12:00am
Training Course: Quantitative Analysis of Marine & Coastal Drone Data
Duke Marine Lab
29 April 2020 12:00am
Call for Submissions – Arm Research Summit 2020
24 April 2020 12:00am
WILDLABS Tech Hub: WWF PandaSat
13 April 2020 12:00am
Webinar 11PST 3/20 - Deep Learning for Airborne Tree Detection
17 March 2020 1:28am
24 March 2020 9:57am
Hello Ben. Unfortunately I couldn't make it on Friday. It would be great if I could take a look at your slides. I'm interested in trying to count mangrove trees. I have some WorldView 2 data. Do you think I could use DeepForest for this?
31 March 2020 4:21am
DeepForest docs are here.
https://deepforest.readthedocs.io/
Welcome to have a look. My experience is that individual trees cannot be distinguished in satellite imagery. The coarest resolution we've had success with is 0.3m. However, the deepforest weights may still useful as a starting location. If there are visible objects in your image that you want to detect, collecting a few hundred training data samples and retraining the model for 2-3 epochs could be useful. See the link for details. Happy to help, submit issues on the github repo is something isn't clear/doesn't work. Everything is in dev.
WILDLABS Community Call Recording: Rainforest X-PRIZE
30 March 2020 12:00am
Open, challenging dataset for audio classification
27 March 2020 10:52am
27 March 2020 11:51am
Hi Radek,
I'm sure others can help here, but check out our recent virtual meetup (it'll be posted here in about an hour), the speakers - particularly Dave Watson - shared open datasets that might be what you're looking for.
Over on Twitter, Jesse Alston is collating a google sheet so that people can advertise data sets that grad students can use to finish theses. @arik 's reply here might be of particular interest: 'We have been recording 24/7 soundscapes in remote US locations like Yellowstone NP and rural central Wisconsin with multiple GPS synced recorders. Our goal is to study wolf and coyote vocalisations, but if anyone can make use of these data for their own studies, drop me a line!.'
Hope this helps!
Steph
27 March 2020 12:25pm
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 much for this!
Radek
Help collate list of Ecology/Conservation Data Sets for grad students
27 March 2020 12:07pm
Automated species detection from camera traps
30 January 2020 8:43am
25 March 2020 2:59pm
I see. Im interested and would like to help. I will need the images to train the network. As many as possible.
if you dont have them yet, try to find similar images preferably of the same species. I will use them to test the performance of the detection.
25 March 2020 6:49pm
I'm not familiar with camera traps, but there are a couple of options:
1) If the animals tend to cover most part of the image, then you can train a CNN classifier to distinguish between species (available with the keras-Tensorflow modules in Python)
2) If, however, the animals only cover a small part of the image (e.g. in the distance), it might be better to use an object detector (I've used YOLOv2 in the past for fish detection), which however is not that straightforward, especially with Python (I used MATLAB)
In any case, keras-Tensorflow classification with Python might be the most straightforward option for your goal. You should also certainly have a look at Google's Wildlife Insights platform which is specialized for species classification from camera trap images.
27 March 2020 10:33am
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 example images with the species in them annotated? Say a still from the camera with a tiger and a csv file referencing that file and annotating that there is a tiger in the image?
Would you like someone to do the developing and training of the deep learning model for you? I work as an AI research engineer at the Earth Species project and I am also a part of a community of deep learning practitioners where we apply cutting edge research to various problems. Here you can check a little initiative I started a couple of days ago to teach people how to work with audio (there is a related forum thread but unfortunately it is in closed forums for the time being as it is associated with a course that is under way). My main point is this - if you have the data and would like someone to help you out on the modelling part, I can coordinate this.
Alternatively, if you cannot release the data, I can point you to materials that can get you started to carry out the work yourself.
WILDLABS Tech Hub: Poreprint
26 March 2020 12:00am
Webinar: Citizen Science Online
SciStarter
26 March 2020 12:00am
Enter the Zooniverse: Try Citizen Science for Yourself!
18 March 2020 12:00am
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3 March 2020 12:00am
Competition: Plastic Data Challenge
Ellie Warren
3 March 2020 12:00am
Hawai'i Conservation Conference
Hawaiʻi Conservation Alliance
28 February 2020 12:00am
Competition: The Artisanal Mining Grand Challenge
26 February 2020 12:00am
Listening to Nature: The Emerging Field of Bioacoustics
24 February 2020 12:00am
Team for Building of ML app for horse identification and conservation
20 February 2020 11:09pm
HWC Tech Challenge Update: Thermal Elephant Alert System
17 February 2020 12:00am
ICEI2020: 11th International Conference on Ecological Informatics
ICEI 2020
14 February 2020 12:00am
17 March 2020 3:52pm
Thanks Ben. I'll see what I can do.