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公开(公告)号:US20240341249A1
公开(公告)日:2024-10-17
申请号:US18545371
申请日:2023-12-19
申请人: DTN, LLC
发明人: JOHN J. MEWES , DUSTIN M. SALENTINY
CPC分类号: A01G25/167 , A01B79/005 , A01G25/023 , G01W1/10 , G06F30/20
摘要: A multi-step iterative process for simulating complex agricultural situations where limited sets of data are available for such problems first predicts an outcome for each situation in a particular dataset, using initial assumptions of an applied primary model. The process then uses the errors across these situations to identify where opportunities exist among relevant predictive variables for the model to make changes to a response to such predictor variables to reduce the errors when averaged across all situations. The process then develops a correction model to identify adjustments based on combinations of the predictive variables, and applies the adjustments to the primary model to induce an altered outcome.