Hi Kyler,

Did you find anything suitable?

Best,

Melissa

Do you thinks an AI could do that ?

GitHub - naturalsolutions/ecoSecrets: ecoSecrets is a web application which enables users to manage their camera traps data

I think a conservation tech agent would be most useful if it connects directly to existing WILDLABS resources, rather than trying to replace tools.

Ideally, it could Link questions to projects from the WILDLABS Awards or The Inventory, as well Suggest relevant forum discussions Recommend community members with similar experience. An then at the end propose technical solutions like ML models, devices, or toolkits for specific tasks 

I'm thinking of doing something like...

prompt

"How can I detect when an insect is attacking a tree using dendrometer data?"

agent

This is a time-series event detection problem. Based on previous project in WildLabs a BiLSTM neural network can be trained to recognise attack patterns by analysing the sequence of stem diameter changes before, during, and after an attack. These patterns may include sudden shrinkage or irregular oscillations caused by stress or resin production.

The agent could then link to:

• Projects using sensors or time-series AI in behaviours or events monitoring
• Open-source tools for LSTM-based classification
• Forum threads or community contacts who’ve worked on similar topics, models, tools, etc

Would love to collaborate on this we are curently building agents for conservation 
Kind regards
Olivier 

Hi Jorge, 

I think you'll find this research interesting: https://blog.google/technology/ai/dolphingemma/

Google's researchers did exactly that. They trained an LLM on dolphin vocalizations to produce continuation output, exactly as in the autoregressive papers you've mentioned, VALL-E or WaveNet.

I think they plan to test it in the field this summer and see if it will produce any interesting interaction.

Looking forward to see what they'll find :) 

Besides, two more cool organizations working in the field of language understanding of animals using AI:

https://www.projectceti.org/

https://www.earthspecies.org/

This is a really fascinating concept. I’ve been thinking about similar overlaps between AI and animal communication, especially for conservation applications. Definitely interested in seeing where this kind of work goes.

This is such a compelling direction, especially the idea of linking unsupervised vocalisation clustering to generative models for controlled playback. I haven’t seen much done with SpecGAN or AudioLDM in this space yet, but the potential is huge. Definitely curious how the field might adopt this for species beyond whales. Following this thread closely!

Wow this is amazing! This is how we integrate Biology and Information Technology. 

Super interesting! I'm currently developing sensor accelerometers for fence perimeters in wildlife conservation centres. I think this is a really cool application of accelerometers; I would love to know how the sensor which you developed for part 3 looked like, or what type of software/machine learning methods you've used? Currently my design is a cased raspberry pi pico, combined with an accelerometer and ml decision trees in order to create a low-cost design. Perhaps there is something to be learnt from this project as well :)

Hi Marlene.

One possibility might be to use the GPS time to synchronize an on-board real time clock (RTC). This configuration would be a "GPS disciplined clock" where the GPS would be used to adjust the time, but the actual timekeeping happens on the real time clock. This would eliminate the drift since the interval would come from an alarm or timer from the offline RTC and would hence continue to work in areas like a den or in dense foliage where it would be difficult to get a GPS fix.