Data-informed method and system for tracking the performance of airborne objects

A system for performing data-informed analysis of a bird, the system comprising:

• an operations center;
• and
• an electronic device in signal communication with the operations center, the electronic device comprising a microcontroller and a communication module that cooperate together such that when secured to a bird acquires bird physiological data and at least one of inertial data, environmental data, bird geoposition data and observational behavior, the communication module comprising:
• a first sub-module that acquires the inertial data from a plurality of sensors;
• a second sub-module that acquires the observational data from the operations center and the bird geoposition data from at least one of an extraterrestrial system and a terrestrial system;
• and
• a third sub-module that transmits flight data over a low power wide area network to the operations center.

A machine learning-based system for analyzing a flight path of a bird, the system comprising:

• a plurality of sensors comprising an inertial measurement unit, at least one physiological sensor and at least one environmental sensor;
• a communication module configured to operate using a plurality of modes of communication one of which comprises a low power wide area network;
• and
• at least one microcontroller signally cooperative with the plurality of sensors and the communication module to exchange information therebetween, the at least one microcontroller comprising at least one processor and a non-transitory computer-readable medium storing machine-readable instructions that cause the at least one processor to:
• acquire first sensor data from the inertial measurement unit, second sensor data from the at least one physiological sensor and third sensor data from the at least one environmental sensor;
• acquire, using the communication module, location data from at least one of a terrestrial system and an extraterrestrial system;
• using a trained machine learning model that correlates the acquired sensor and location data to determine at least one performance metric of the bird, and
• transmit, using at least the low power wide area network portion of the communication module, the determined at least one performance metric to a user.