First things first, our team, @jcguerra10, @hefca, and myself, is thrilled to share with immense pride and gratitude towards the WILDLABS Community and their partners at Arm. Being able to contribute to Avian Studies and its conservation through our awarded BoutScout project is a true honor.

In a nutshell, BoutScout seeks to overcome the limitations faced by traditional avian study methods, such as the high costs associated with Hobo dataloggers and the time-consuming post-data interpretation processes. By integrating a multi-sensor datalogger with AI analytics, it will bring up more opportunities on how we monitor bird nests. It not only collects critical environmental data but also enables faster post-data interpretation and processing. This approach is going to allow for a detailed analysis of nest temperature variations, thereby identifying crucial parental activities that are vital for the health and survival of bird species. 

To address this, we are developing a datalogger equipped with sensors to capture detailed data on light, temperature, and humidity around bird nests. Two prototypes based on Arduino MKR Zero have shown effectiveness in preliminary data collection. We plan to enhance these prototypes by expanding sensor capabilities, including movement detection and improved environmental monitoring. Then to achieve a pronto analysis on the extensive future data, our project leverages over 400 nest data sets for the development of a 1D CNN and LSTM models. This model is integral for interpreting complex nesting behaviors, such as on- and off-bouts, offering unprecedented insights into avian behavior interpretation. We've entered into a partnership with the '4U' project, collaboratively led by Universidad Icesi and Universidad del Norte. This collaboration provides the perfect testing grounds for our prototypes across distinct Colombian habitats: a dry tropical forest in the Guajira region at the north, and a cloud forest in the western Andean mountain range. These diverse environments are ideal for our development efforts.

@wildlabs 

Gratitude:
This achievement reflects not only our dedication but also the vital support we've received. Special thanks to Universidad Icesi, as well Professors Gustavo Londoño and Juan Pablo Gomez (At Universidad del Norte) for their invaluable backing and guidance during the submission and the procces ahead on the ground.