All
Publications
The Automatic Classification of Pyriproxyfen-Affected Mosquito Ovaries
A new method for measuring the effect of pyriproxyfen on mosquito fertility using a machine learning approach has been published.
Using a Convolutional Neural Network (CNN) model, researchers were able to automatically classify the fertility status of ovaries from PPF-exposed female mosquitoes. This recent work by members of I2I was published as part of the special issue on mosquito control in the journal Insects.
Download FileAll
Publications
Comparative analysis of the Potter Tower and a new Track Sprayer for the application of residual sprays in the laboratory
All
Publications
“A bioassay method validation framework for laboratory and semi-field tests used to evaluate vector control tools”. Matope et al. Malaria Journal
All
Publications
Insecticides for Mosquito Control: Improving and Validating Methods to Strengthen the Evidence Base
All
Publications
Unmanned aerial vehicles for surveillance and control of vectors of malaria and other vector-borne diseases
All
Publications