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A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction
As far as we know, this is the first machine learning method that embeds geographical knowledge in crop yield prediction and predicts the crop yields at county level nationwide.
Climate, Agriculture and Food
This chapter provides an overview of recent advancements in the analysis of climate change impacts and adaptation in agriculture with an emphasis on methods.
The Historical Impact of Anthropogenic Climate Change on Global Agricultural Productivity
Agricultural research has fostered productivity growth, but the historical influence of anthropogenic climate change on that growth has not been quantified.
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