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Showing 1 to 1 of 1 for “"nitrogen fertilizer-yield response"”.

  1. KGML-N: a knowledge guided machine learning modeling framework for efficient simulation of N-yield response

    Applying the optimal amount of nitrogen (N) fertilizer is a critical challenge in corn farming, balancing crop yield against fertilizer costs and environmental risks. While scientific tools exist to guide these decisions, they face a trade-off. Complex process-based (PB) models are detailed but …

    uiuc Repository record for KGML-N: a knowledge guided machine learning modeling framework for efficient simulation of N-yield response (opens in a new tab)