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.

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Comparative analysis of the Potter Tower and a new Track Sprayer for the application of residual sprays in the laboratory

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“A bioassay method validation framework for laboratory and semi-field tests used to evaluate vector control tools”. Matope et al. Malaria Journal

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Insects, Special Issue: Insecticides for Mosquito Control

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