Richard G. Ham Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

unknown

9 h-index 35 pubs 498 cited

Research Areas

Remote Sensing in Agriculture Plant Physiology and Cultivation Studies Soil and Water Nutrient Dynamics Agronomic Practices and Intercropping Systems Advanced Neural Network Applications Building Systems Analysis Artificial Intelligence in Engineering Computer Vision Applications

Links

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OverviewAI-generated summary

Richard G. Ham's research focuses on the application of remote sensing technologies to agricultural studies. His recent publication investigates how soil heterogeneity influences soybean development and yield, utilizing time-series data from unmanned aerial vehicles (UAVs) and ground-based geophysical imagery. Ham has published two papers in total, accumulating 45 citations, and holds an h-index of 2. He has collaborated with Malcolm Williamson and Jackson Cothren, both from the University of Arkansas at Fayetteville, on shared publications.

Metrics

h-index: 9
Publications: 35
Citations: 498

Selected Publications

An Attention-Enhanced YOLOv8 Architecture for Leakage Detection in Building Systems (2025) DOI
Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery (2021) DOI