Deep learning framework predicts optimal crop-livestock spatial layouts
Researchers at Sichuan Agricultural University published a deep learning framework in Agronomy that classifies environmental zones and predicts optimal crop-livestock spatial layouts. The authors describe the model as a globally applicable tool for data-driven agricultural planning and resource allocation.