Harrison Smith

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

Researcher

University of Arkansas

Also affiliated: Dale Bumpers Small Farms Research Center (2022); University of Missouri (2023)

Faculty Researcher

5 h-index 16 pubs 59 cited

Research Areas

Biomedical Subjects

Links

ORCID

OverviewAI-generated summary

Harrison Smith's research focuses on the application of geospatial technologies and data analysis to agricultural and environmental challenges. His work investigates methods for characterizing soil properties using tools such as Ground Penetrating Radar and apparent electrical conductivity, often within agroforestry and silvopastoral systems. He has explored the use of machine learning models to identify critical soil values for crop production and evaluated soil suitability for optimized production on U.S. Tribal Lands. Smith's recent publications also include work on vegetative recovery and land cover transformation post-reclamation at a Superfund site and policy-driven transfer learning for animal monitoring. He collaborates with several faculty members at the University of Arkansas at Fayetteville, including Lawton Lanier Nalley, Amanda J. Ashworth, Aurelie M. Poncet, and Shane Ylagan.

Metrics

h-index: 5
Publications: 16
Citations: 59

Selected Publications

Harvesting insights: interpretable machine learning to understand environmental drivers of U.S. maize and soybean yield (2026)

Scientific Reports 3 citations DOI OpenAlex
Policy-Driven Transfer Learning in Resource-Limited Animal Monitoring (2025)

1 citation DOI OpenAlex
Denoised Diffusion for Object-Focused Image Augmentation (2025)

DOI OpenAlex
Predicting spatiotemporal patterns of productivity and grazing from multispectral data using neural network analysis based on system complexity (2024)

Agrosystems Geosciences & Environment DOI OpenAlex
Remote sensing reveals trends in vegetative recovery and land cover transformation post-reclamation at tar creek superfund site (2024)

Discover Geoscience 5 citations DOI OpenAlex
Relationships among apparent electrical conductivity and plant and terrain data in an agroforestry system in the Ozark Highlands (2023)

Agrosystems Geosciences & Environment 6 citations DOI OpenAlex
Boundary line analysis and machine learning models to identify critical soil values for major crops in Guatemala (2023)

Agronomy Journal 12 citations DOI OpenAlex
Relationships Among Apparent Electrical Conductivity and Plant and Terrain Data in an Agroforestry System in the Ozark Highlands (2023)

Research Square DOI OpenAlex
Applications and Analytical Methods of Ground Penetrating Radar for Soil Characterization in a Silvopastoral System (2022)

Journal of Environmental and Engineering Geophysics 12 citations DOI OpenAlex
Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands (2022)

Remote Sensing 11 citations DOI OpenAlex
GIS-Based Evaluation of Soil Suitability for Optimized Production on U.S. Tribal Lands (2022)

Agriculture 5 citations DOI OpenAlex
Human impacts on water systems: Biological assessment of water quality in the Bosque Protector Río Guajalito (BPRG) using aquatic macroinvertebrates (2015)

School for International Training Digital Collections (School for International Training) OpenAlex