default author photo

Daran Rudnick

Kansas State University

Manhattan, KS 66506-4001

United States

SCHOLARLY PAPERS

6

DOWNLOADS

330

TOTAL CITATIONS

0

Scholarly Papers (6)

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:

Loading...

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 33 (1,356,108)

Abstract:

Loading...

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

2.

Crop2cloud Platform: Real-Time Data Integration for Agricultural Water Monitoring

Number of pages: 33 Posted: 21 Mar 2025
University of Nebraska at Lincoln, University of Nebraska-Lincoln, affiliation not provided to SSRN, University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska at Lincoln, University of Nebraska at Lincoln, University of Nebraska at Lincoln, University of Nebraska at Lincoln, Kansas State University, University of Nebraska at Lincoln, affiliation not provided to SSRN, Makerere University and Makerere University
Downloads 75 (883,195)

Abstract:

Loading...

Advanced sensors, Internet of Things, Data integration, Water Stress Indices, Irrigation Scheduling methods, Fuzzy logic schedule, Water Savings

3.

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 48 (1,097,529)

Abstract:

Loading...

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

4.

Chemigation efficacy of bifenthrin and chlorantraniliprole for Striacosta albicosta (Lepidoptera: Noctuidae) management in corn under different irrigation depths

Number of pages: 42 Posted: 10 Oct 2025
University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln, University of Nebraska at Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln, Kansas State University and University of Nebraska-Lincoln
Downloads 43 (1,170,409)

Abstract:

Loading...

Striacosta albicosta, western bean cutworm, chemigation, pyrethroids, diamides, integrated pest management

5.

Evaluation of Dry Edible Bean Crop Growth and Crop Water Productivities Under Different Irrigation Scenarios in the U.S. High Plains

Number of pages: 48 Posted: 21 May 2024
University of Nebraska-Lincoln, University of Nebraska at Lincoln, University of Nebraska-Lincoln, University of Nebraska-Lincoln, Kansas State University, University of Nebraska at Lincoln, University of Iowa - Department of Chemical and Biochemical Engineering and affiliation not provided to SSRN
Downloads 23 (1,424,331)

Abstract:

Loading...

Deficit irrigation, Irrigation water productivity, Biomass water productivity, Dry edible beans

6.

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 9

Abstract:

Loading...

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