Advanced Mosquito Species Prediction
Harness the power of Mid-Infrared Spectroscopy (MIRS) to predict mosquito species, age, and resistance with unprecedented accuracy.
Why VectorPredictor?
MIRS-AI methods support rapid, accurate mosquito analysis for evidence-based vector control planning.
Species Identification
Accurately identify mosquito species using advanced spectroscopic analysis with >95% accuracy.
Age Estimation
Determine mosquito age within 1-17 days range for optimal vector control timing.
Resistance Detection
Identify insecticide resistance patterns to optimize control strategies and preserve effectiveness.
How It Works
A structured workflow supports consistent and efficient mosquito analysis.
Upload Data
Upload your MIRS spectral data through our secure platform.
AI Analysis
Our machine learning algorithms process your data with scientific precision.
Get Results
Receive detailed predictions with confidence intervals and recommendations.
Take Action
Implement targeted vector control strategies based on scientific insights.
Scientific Validation
Our methods are peer-reviewed and published in leading scientific journals.
"Rapid age-grading and species identification of natural mosquitoes for malaria surveillance"Published in Nature Communications (2022)
DOI: 10.1038/s41467-022-28980-8
Research Partners
Collaborating with leading institutions worldwide to advance vector control science.
Supported by:
