Harrison Smith

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

ORISE Postdoctoral Research Fellow, USDA Agricultural Research Service

University of Arkansas

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

Formerly Arkansas Graduate Research Fellow, University of Arkansas through 2026; now ORISE Postdoctoral Research Fellow, USDA Agricultural Research Service.

5 h-index 16 pubs 66 cited

Research Areas

Biomedical Subjects

Links

ORCID

OverviewAI-generated summary

Harrison Smith's research focuses on the application of machine learning and geospatial analysis to agricultural and environmental challenges. His work investigates the identification of critical soil values for crop production, utilizing boundary line analysis and predictive models. Smith has also explored the use of ground-penetrating radar and apparent electrical conductivity for soil characterization and delineating field variations within agroforestry and silvopastoral systems. His research extends to evaluating soil suitability for optimized crop production on U.S. tribal lands and assessing environmental drivers of U.S. maize and soybean yield. Furthermore, Smith has studied vegetative recovery and land cover transformation post-reclamation at a superfund site using remote sensing. He has published 16 papers, with an h-index of 5 and 66 citations, and collaborates with several researchers at the University of Arkansas at Fayetteville.

Metrics

h-index: 5
Publications: 16
Citations: 66

Positions

ORISE Postdoctoral Research Fellow 2026–present

USDA Agricultural Research Service Poultry Production and Product Safety Research Unit Fayetteville Arkansas ORCID
Doctoral Academy fellow publications 2015–2026

University of Arkansas at Fayetteville Institution web page
Graduate Research Fellow 2021–2026

University of Arkansas at Fayetteville Environmental Dynamics Program ORCID

Selected Publications

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

Scientific Reports 4 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 2 citations 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 7 citations DOI OpenAlex
Boundary line analysis and machine learning models to identify critical soil values for major crops in Guatemala (2023)

Agronomy Journal 15 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 12 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