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Precious Amori

University of Nebraska-Lincoln

1400 R Street

Lincoln, NE 68588

United States

SCHOLARLY PAPERS

3

DOWNLOADS

178

TOTAL CITATIONS

0

Scholarly Papers (3)

Optimizing In-Season Nitrogen Management Through Satellite–Guided Fertigation in Commercial Maize Production

Number of pages: 55 Posted: 30 Jul 2025
University of Nebraska-Lincoln, University of Nebraska at Lincoln, University of Nebraska-Lincoln, University of Nebraska at Lincoln, University of Nebraska at Lincoln, Kansas State University, University of Nebraska-Lincoln, affiliation not provided to SSRN and University of Nebraska-Lincoln
Downloads 99 (705,092)

Abstract:

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Nitrogen use efficiency, Variable rate fertigation, Sufficiency index, NDRE, Satellite remote sensing, Grain yield, Stress classification framework

Optimizing In-Season Nitrogen Management Through Satellite–Guided Fertigation in Commercial Maize Production

Number of pages: 55 Posted: 15 Jul 2025
University of Nebraska-Lincoln, University of Nebraska at Lincoln, University of Nebraska-Lincoln, University of Nebraska at Lincoln, University of Nebraska at Lincoln, Kansas State University, University of Nebraska-Lincoln, affiliation not provided to SSRN and University of Nebraska-Lincoln
Downloads 30 (1,356,108)

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Nitrogen use efficiency, Variable rate fertigation, Sufficiency index, NDRE, Satellite remote sensing, Grain yield, Stress classification framework

2.

Scalable Machine Learning Framework for Adaptive Irrigation Management in Commercial Crop Fields

Number of pages: 25 Posted: 23 Apr 2025
University of Nebraska-Lincoln, University of Nebraska at Lincoln, University of Nebraska at Lincoln, affiliation not provided to SSRN, University of São Paulo (USP), University of Nebraska-Lincoln, Kansas State University, University of Nebraska at Lincoln and University of Nebraska-Lincoln
Downloads 47 (1,097,529)

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Precision Irrigation, Irrigation Scheduling, Soil Water Balance, Soil Water Depletion, Domain Knowledge-Guided Feature Selection

3.

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
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
Downloads 2

Abstract:

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