Florida researchers use machine learning to track invasive Burmese pythons

Researchers in Florida are utilizing new tracking data and machine learning technology to combat the spread of invasive Burmese pythons. A multi-year study tracking over 350 pythons in South Florida revealed that the snakes frequently utilize trees for resting and reproduction. Adult pythons were often found in cypress and coastal plain willow trees, while juveniles utilized cypress and cabbage palms. The study noted that heavier pythons tended to occupy sturdier trees like oaks and Brazilian peppertrees.

To complement these findings, University of Florida researchers are developing a machine learning tool designed to identify large, egg-producing female pythons. This tool leverages data collected via a mobile app used by contractors and citizen scientists participating in Florida’s annual python challenge. By analyzing geospatial information, weight, and survey locations, the model aims to help state agencies more effectively target the species to curb population growth in the Everglades.