2. MOTIVATION
High-resolution spatiotemporal density estimates of insect
population data is critical for the effectiveness of Integrated Pest
Management (IPM) in agriculture and Integrated Vector
Management (IVM) in global health.
Helps us:
Determine where, when and how to intervene
Understand how well interventions worked
Identify resurgence or new invasion of pests or vectors
3. MOTIVATION
Today’s surveillance is done with analog technology from the
1960’s
Time-consuming
Expensive
Inaccurate
Sweep nets
Sticky traps
4. THE INSECT CLASSIFIER
Laser Bug Sensors will allow for real-time classification of flying
insects
AI used to classify signal recorded from laser sensor; Bayesian
Classifier
Recorders used to collect around 48 hours of data from insects
5. THE MODELS
Lab Model
Field Model
Phototransistor array
(photoarray)
Insect handling portal
Recording device
Power supply
Circuit
board
Laser source
Laser beam
6. THE DATA
MATLAB
Program runs through data points and extracts short spikes in
frequency
Looked through interferences
Analyzed data and graphed
distributions
0 2000 4000 6000 8000 10000 12000 14000 16000
−0.5
0
0.5
Flies: Original Plot 1 (75 degrees)
0 200 400 600 800 1000 1200 1400 1600 1800 2000
0
2
4
6
8
x 10
−3 Flies: Spectral Plot 1 (75 degrees)
8. FUTURE
Cheap laser sensors
Easily deployed, easy set-up
Regular reliable information about exactly when and where
control is needed
Big Data at your fingertips: Data streaming from millions of
networked LBS sensors deployed across a larger region
