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.
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