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Presence Current · Arkansas
Last published 2019
Sources OpenAlex · ORCID
Refreshed 2026-08-08

C. E. Greub

Researcher

Also affiliated: University of Arkansas System (2017–2018)

Faculty Researcher

4 h-index 17 pubs 54 cited

Biography and Research Information

OverviewAI-generated summary

C. E. Greub's research has focused on the development and application of machine learning techniques, particularly in the area of image analysis. Their work includes studies on the use of convolutional neural networks for image classification and segmentation, as well as the application of deep learning models to medical imaging data. Greub has also investigated the integration of machine learning algorithms with other computational methods for complex data analysis.

Metrics

  • h-index: 4
  • Publications: 17
  • Citations: 54

Selected Publications

  • Alkaline Hydrolyzable‐Nitrogen of Clayey Soils Reduces Supplemental Fertilizer Nitrogen Requirement of Rice in Arkansas (2019)
    Agronomy Journal 5 citations DOI OpenAlex
  • Quantifying Foliar and Soil Uptake of Granular <sup>15</sup>N‐Labeled Urea by Corn (2018)
    Agronomy Journal 1 citation DOI OpenAlex
  • Evaluating Tissue Tests to Improve Nitrogen Management in Furrow‐Irrigated Mid‐South Corn Production (2018)
    Agronomy Journal 4 citations DOI OpenAlex
  • Predicting Nitrogen Requirements for Maize with the Dark Green Color Index under Experimental Conditions (2018)
    Agronomy Journal 11 citations DOI OpenAlex
  • Pre‐Plant Nitrogen Fertilizer Uptake and Partitioning in Furrow‐Irrigated Corn (2017)
    Agronomy Journal 4 citations DOI OpenAlex
  • Early Season Nitrogen Fertilizer Recovery by Corn within a Furrow-Irrigated Production System (2017)
    Soil Science Society of America Journal 3 citations DOI OpenAlex
  • Fertilizer Nitrogen Recovery Efficiency of Furrow‐Irrigated Corn (2016)
    Agronomy Journal 23 citations DOI OpenAlex

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