Richard G. Ham
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Unknown Researcher
Soil Testing Lab
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Richard G. Ham's research focuses on the application of advanced technologies to agricultural and building systems. His work includes investigating the influence of soil heterogeneity on soybean development and crop yield, utilizing time-series data from unmanned aerial vehicles (UAV) and ground-based geophysical imagery. Ham has also explored the use of machine learning for detecting leaks in building systems, developing an attention-enhanced YOLOv8 architecture for this purpose.
His scholarly contributions, while limited in number, are supported by a network of collaborators at the University of Arkansas at Fayetteville, including Malcolm Williamson, Jackson Cothren, Meijing Tan, and Ke Yang. Ham's research metrics include an h-index of 2, with 2 total publications and 47 total citations.
Metrics
- h-index: 2
- Publications: 2
- Citations: 48
Selected Publications
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An Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems (2025)
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Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery (2021)
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International Student Recruiting and Retention in Post-graduate STEM Education (2020)
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Remote Sensing to Uav-Based Digital Farmland (2018)
Collaboration Network
Top Collaborators
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- An Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems
- An Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems
- An Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems
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