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Subject: Modeling insect pests phenology
We observe a decline in the biodiversity of insects due to global changes and in particular global warming. In the meantime, some species of crop pests are increasingly present and threaten the food security especially in the inter-tropical area. This is the case of maize pests in East Africa and quinoa pests in South America. It is thus critical to develop predictive models to optimize and contribute to sustainable pest control methods in agro-ecosystems. Although many laboratory data are available on the insect response to temperature, an adjustment is needed for their use under field conditions. To reach this objective, a monitoring of insects and environmental variables is necessary. Thus, the aim of this thesis is to analyze the existing literature, to design and deploy a network of sensors and insect traps, then to analyze the time series obtained to understand the spatio-temporal pest population dynamics and develop efficient predictive models for crop pest species in the intertropical zone.