C. E. Greub
Researcher
Also affiliated: University of Arkansas System (2017–2018)
Faculty Researcher
Research Areas
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
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Alkaline Hydrolyzable‐Nitrogen of Clayey Soils Reduces Supplemental Fertilizer Nitrogen Requirement of Rice in Arkansas (2019)
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Quantifying Foliar and Soil Uptake of Granular <sup>15</sup>N‐Labeled Urea by Corn (2018)
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Evaluating Tissue Tests to Improve Nitrogen Management in Furrow‐Irrigated Mid‐South Corn Production (2018)
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Predicting Nitrogen Requirements for Maize with the Dark Green Color Index under Experimental Conditions (2018)
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Pre‐Plant Nitrogen Fertilizer Uptake and Partitioning in Furrow‐Irrigated Corn (2017)
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Early Season Nitrogen Fertilizer Recovery by Corn within a Furrow-Irrigated Production System (2017)
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Fertilizer Nitrogen Recovery Efficiency of Furrow‐Irrigated Corn (2016)
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