Coupling agricultural system models with machine learning to facilitate regional predictions of management practices and crop production
Process-based agricultural system models are a major tool for assessing climate-agriculture-management interactions. However, their application across large scales is limited by computational cost, model uncertainty, and data availability, hindering policy-making for sustainable agricultural product...
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Veröffentlicht in: | Environmental research letters 2022-11, Vol.17 (11), p.114027 |
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