Other

University of California

Isca Technologies, Inc.

Eamonn Keogh

Agenor Mafra-Neto

Systems, apparatuses, and methods of classifying flying insects. The methods utilize recording the wingbeat frequency and amplitude spectrum of flying insects and comparing them to known or created insect models to properly classify the flying insect. The error rate of the classification is reduced by utilizing multiple inputs to the classification system, which may include a precise circadian rhythm for the time of year, current environmental conditions, and flight velocity or direction.

Growing community of inventors

Riverside, CA, United States of America

Eamonn Keogh