I'd be happy to chat with you if you wanted! My expertise is within passive acoustic monitoring particularly. The Conservation Tech Directory might be useful for you in identifying relevant actors within the space.

Happy to contribute [email protected] 

My original background is in ecology and conservation, and am now in the elected leadership of the Gathering for Open Science Hardware which convenes researchers developing open source tech for science. I am not working on a specific piece of technology right now, but am happy to contribute some higher-level views for your interview if that helps.

In DRCongo and just discovering this now. We operate in Lomami National Park, very remote regions, and our issue includes individual recognition of bonbos and forest elephants from camera trap data.  Tim van Dam's comment hit home for me in that we have NO internet acces in the field sites, with internet, but not much access to cloud based propgram only in the cities of KIndu and Kisangani, over 100km from the field sites. We would liketo be able to download and use software, and even participate in testing some applications, but time lags are involved since data has to come out of thefield to move into the propgrams.  I think basically we can do a lot with low tech solutions, and selectively move up the analytical chain but there is no question that we will remain with some fundamental connectivity problems....Is anyone esle facing thes kinds of constraints? Can anyone suggest some basic "recognition software" and a working group to allow us to get into this area and see what we can produce and contribute? John Hart www.bonoboincongo.com  

This article in Seattle Times does pretty much a smiliar thing with Bears and you may find some solutiosn from their work

https://www.seattletimes.com/business/technology/training-facial-recognition-on-some-new-furry-friends-bears/

Why would you want to avoid alerting the rangers ?

You don't need high tech for this; elephants leave very obvious tracks and sign. 

Hi Tyler,

Would like to introduce you to Ceres Tags products

• Ceres Tags products come in boxes of 5, 10 and 24. 
• There are some software partners such as Earthranger, Mapipedia and possibly CiboLabs that would be able to assist you with your mapping vegetation requirements
• Ceres Tag does not require any towers, base stations and infrastructure. This allows you to see any movements from the heard outside of their normal herd (boundary alerts), and you will not be disturbing any of the flora and fauna with infrastructure set up. 
• For the timing you are looking at, Ceres Wild pings directly to satellite 24 times a day. For Ceres Trace and Ceres Ranch there are 4 within 24 hours. Taking into consideration, when you set up alert areas, you will get them directly to your phone/laptop via your software of choice
• Ceres Ranch is a reusable tag that has just been launched. Use it on this project, remove the tag and then use the tag on your next project
• The software you choose will assist with the history of your animal movements. Ceres Tag is integrated with 11 software partners and in-development with 18 software partners https://cerestag.com/pages/software-partners
• Understanding it is a short-term project, you would be able to use Ceres Tags products without the additional expense of setting up and removing infrastructure- towers, gateways
• With Ceres Tag, you are purchasing the box of tags and picking a suitable software to deliver the information you require. On average, a box of 10 Ceres Trace Tags, is the same as 1 LoRaWAN tower. 

I just came across this interesting paper in which seismic monotoring of animals like elephants was mentioned. 

This is the study refered to:

Seismic savanna: machine learning for classifying wildlife and behaviours using ground‐based vibration field recordings

Our planet is facing its sixth mass extinction, with hundreds of species disappearing largely because of human activity. To mitigate this existential threat of biodiversity loss, we must monitor and ...

ZSL Publications

Cheers,

Lars

Hey Sara,

Thanks again for the session today--it was super helpful! 

I have access to a pretty large network of camera trappers, and I'm currently surveying them to see who might be willing to share data with me. That being said, I can likely get data-sharing agreements with each of these agencies sorted out before the application deadline, but may not have the data in-hand by this time due to a lack of resources for transferring such large amounts of data. 

I've used Azure Storage Explorer before to rapidly transfer large datasets like this, so I think it might be easier to compile all data in one location once we have access to the VMs. Would it be acceptable to apply with the signed data-sharing agreements in mind, and with the intent of organizing all of the data once we acquire access to the computing resources? 

Quick reminder that the deadline for applications is just shy of a week away. 

This workshop is particularly geared to teach ecologists computer vision tools to apply to their research.

Tired of trying to manually count how many animals are in your images? Tired of listening to audio files to classify/detect species? Looking to clean and manage your data so that you can more easily access and analyze it? We're happy and eager to help you apply computer vision tools to try to help with these (and more!) tasks!

More info: 

Feel free to comment here or message me directly if you have any questions!