GeoAI for Spatiotemporal Modeling of Pest Insects

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#### **Geospatial Artificial Intelligence (GeoAI) for spatiotemporal modeling of pest insects** This project is intended to achieve three primary objectives: 1) To develop and deliver new spatially explicit deep learning-based methods and tools to address existing methodological gaps in geospatial-enabled agricultural pest research, 2) To extend deep learning-based geospatial methods into an uncertainty-aware statistical framework to better characterize and model spatiotemporal uncertainty in geospatial applications, 3) To apply the proposed developments to a long term record of grasshopper (Orthoptera: Acrididae) occurrence to forecast future insect pest outbreak potential in the Western US.

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