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Christopher Michael Usher Neale

University of Nebraska at Lincoln

730 N. 14th Street

  • University of Nebraska at Lincoln

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Hybrid mechanistic–machine learning framework for cross-site prediction of root-zone soil water depletion in agricultural water management systems

Number of pages: 50 Posted: 25 Jun 2026
Precious Amori, Derek Heeren, Yeyin Shi, Guillermo Balboa, Daran Rudnick and Christopher Michael Usher Neale
University of Nebraska-Lincoln, University of Nebraska at Lincoln, University of Nebraska at Lincoln, University of Nebraska-Lincoln, Kansas State University and University of Nebraska at Lincoln
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Abstract:

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Soil water balance, Irrigation decision support, Model generalization, Cross-site evaluation, Predictive uncertainty, Remote Sensing