Group

AI for Conservation / Feed

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.

event

CamTrap Ecology meets AI conference

The first international workshop on camera traps & AI analysis for wildlife monitoring, including associated ecological & data collection methods. It runs as three live online sessions of expert talks, tutorials...

1
See full post
careers

Join the BirdNET team! 

The BirdNet team are seeking to fill three roles, including an Ecologist, Data scientist and an Embedded Systems Engineer based in Germany. 

4
See full post
article

Mara Predators Hackathon 

APPLY NOW! The Sovereign Nature Initiative has partnered with the Kenya Wildlife Trust to experiment with emerging technologies to support their predators' conservation work.Challenges will focus on:1. Lion...

0
See full post
careers

Conservation Technology Research Internship

Boost cons tech capacity at an international NGO! Fauna & Flora International is offering a paid three-month internship to consolidate and share best practices for the application of emerging hardware and software...

2
See full post
article

Ceres Wild Rhino application 

An update on Ceres Tags products that are being used in conservation 

1 1
Some updates and a news report on the Malilangwe Trust application of devices; Ceres Trace and Ceres Wild
See full post
careers

Lead Software Engineer, Wildlife Insights

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...

1
See full post
Link

Technology may solve climate change problems, but it’s also causing them | VentureBeat

Interesting thought piece from Mark Minevitch (AI for Good) et al. on the promise of AI and other ICT innovation to deliver on climate challenges, existing ICT sector emissions - and the three types of carbon lock-in which need to be actively managed (behavioural, digital, infrastructure).

'The danger is that the promises of digital technology can blind us to its less-recognized contributions to climate woes. Emissions from the ICT sector already rival those of the airline industry. Moreover, the few studies done so far (a,b,c) suggest the ICT sector’s emissions will at least double to 2-3 GTCO2e and if the rise in global GHG emissions is limited to 1.5˚C by 2030, contribute approximately 10% of the global GHG burden — nearly equal to that of the automotive industry. And these are cautious estimates.'

1
discussion

Can deep learning identify seabirds? (species, within-species, individual)

Hello everyone,I am looking for insight on the feasibility of identifying seabirds from photos taken at sea (such as these...

5 0

Update: I asked the same question on twitter so I'm sharing answers I got there:

Hi Yvan, 

I dropped this into the AI for Conservation slack group as well, you got this reply this morning: 

Steph 

Hi Yvan,

If you find something which reaches your expectation and especially the ability to identify individual with plumage patterns I will be intereted.

In the same idea that Ultralytics, there is : 

Which could probably answer your first and second requirements.

 

And find here a great website showing all the IA-based camera software, you may find solutions or contact throw this list:

See full post
discussion

Identify animal from Image

I am thankful to the members of Wildlabs net for giving us the right information to enable us to plan Bioacoustics solution implementation. It seems to be on track as of now....

2 2

Hi Jitendra.

If they are still images, many people are using Megadetector to analyze their images. I'm not sure how it will do in species classification, but it can tell you if there are images of interest in the shots. Others here can probably give you more detailed instructions on how to use it to batch process camera trap images.

 

Have you considered creating a Kaggle competition? If you already have lots of images, and some that have been labelled, then this could be a good way to get people working on a solution

See full post
article

CERES TAG

Ceres Tag sends just in time alerts and GPS location to have the power to track and trace.

3
See full post