Abstract: Systems and methods for a mosquito fitness tester are disclosed. In one embodiment, a system includes: a rotatable enclosure comprising an enclosed cavity; a powertrain to rotate the rotatable enclosure in one or more axes; and one or more sensors to monitor one or more insects in the enclosed cavity.

Abstract: Systems and methods can be provided to monitor insects (e.g., mosquitoes) in the field and gather data to ground truth one or more sensors or machine learning classification algorithms for classifying insects. A trap with various sensor capabilities can capture various insects and data pertaining to the captured insects. Some embodiments may enable offline identification of information by an entomologist or other individuals and use the identification information to ground-truth the one or more sensors. Using the trap with the various sensor capabilities increases the availability and diversity of training data for machine learning classification algorithms on the primary sensor.