Rapid ageing and species identification of natural mosquitoes for malaria surveillance
D. J. Siria, R. Sanou, J. Mitton, E. Mwanga, A. Niang, I. Sare, P. C. D. Johnson, G. Foster, A. Belem, K. Wynne, R. Murray-Smith, H. M. Ferguson, M. Gonzalez Jimenez, S. Babayan, A. Diabate, , F. Baldini
This paper develops a deep learning method to rapidly identify mosquito species and age from mid-infrared spectra, with high accuracy for malaria vectors.
bioRxiv · Jun 11, 2020 · PreprintZoology