Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data

no code implementations • 21 Dec 2022 • Adam Tonks, Trevor Harris, Bo Li, William Brown, Rebecca Smith

Machine learning methods have seen increased application to geospatial environmental problems, such as precipitation nowcasting, haze forecasting, and crop yield prediction.

Crop Yield Prediction regression