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Laila Puntel

University of Nebraska at Lincoln

730 N. 14th Street

  • University of Nebraska at Lincoln

SCHOLARLY PAPERS

5

DOWNLOADS

377

TOTAL CITATIONS

3

Scholarly Papers (5)

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1.

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

Downloads 129 (565,439)

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

Number of pages: 55 Posted: 30 Jul 2025
Precious Amori, Derek Heeren, Guillermo Balboa, Laila Puntel, Yeyin Shi, Daran Rudnick, Joe Luck, Eric Wilkening and Kuan Zhang
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)

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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
Precious Amori, Derek Heeren, Guillermo Balboa, Laila Puntel, Yeyin Shi, Daran Rudnick, Joe Luck, Eric Wilkening and Kuan Zhang
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.

Estimating Planting and Harvest Dates from Remotelysensed Data

Number of pages: 23 Posted: 15 Mar 2025
Caio dos Santos, Laila Puntel, David S. Bullock and Fernando E. Miguez
Iowa State University, University of Nebraska at Lincoln, University of Illinois at Urbana-Champaign and Iowa State University
Downloads 87 (765,566)

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planting date, harvest date, remote sensing, nonlinear models

3.

Efficiency of Assimilating Leaf Area Index into a Soybean Model to Assess Within-Field Yield Variability

Number of pages: 28 Posted: 18 Mar 2022
Deborah Gaso Melgar, Allard de Wit, Sytze de Bruin, Laila Puntel, Andres Berger and Lammert Kooistra
Wageningen University, Wageningen Environmental Research, Wageningen University and Research (WUR), University of Nebraska at Lincoln, affiliation not provided to SSRN and Wageningen University and Research (WUR) - Laboratory of Geo-information Science and Remote Sensing
Downloads 73 (852,604)
Citation 3

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Yield prediction, Assimilation efficiency, Crop models, Sentinel-2, Soybean

4.

Beyond Assimilation of Leaf Area Index: Leveraging Additional Spectral Information Using Machine Learning for Site-Specific Soybean Yield Prediction

Number of pages: 33 Posted: 03 Nov 2023
Deborah Gaso Melgar, Dilli Paudel, Allard de Wit, Laila Puntel, Adugna Mullissa and Lammert Kooistra
Wageningen University, affiliation not provided to SSRN, Wageningen Environmental Research, University of Nebraska at Lincoln, affiliation not provided to SSRN and Wageningen University and Research (WUR) - Laboratory of Geo-information Science and Remote Sensing
Downloads 49 (1,086,013)

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soybean, remote sensing, data assimilation, crop modeling, machine learning

5.

Unravelling the Challenges of Deep Learning for Spatiotemporal Within-Field Soybean Yield Prediction

Number of pages: 36 Posted: 04 Jul 2024
Deborah Gaso Melgar, Laura Elena Cue La Rosa, Laila Puntel, Juan I. Rattalino Edreira, Allard de Wit and Lammert Kooistra
Wageningen University, Wageningen University, University of Nebraska at Lincoln, affiliation not provided to SSRN, Wageningen Environmental Research and Wageningen University and Research (WUR) - Laboratory of Geo-information Science and Remote Sensing
Downloads 39 (1,196,171)

Abstract:

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soybean, Sentinel-2, Deep learning, Weather Inputs, Topographic Attributes