Harrison Smith Data-verified

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

Researcher

University of Arkansas

Last publication 2026 Last refreshed 2026-05-23

faculty

5 h-index 16 pubs 53 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Harrison Smith's research focuses on the application of geospatial technologies and analytical methods for characterizing and optimizing agricultural and land management practices. He has investigated the use of apparent electrical conductivity and ground penetrating radar for delineating field variations and understanding soil properties in agroforestry and silvopastoral systems within the Ozark Highlands. Smith has also explored GIS-based evaluations of soil and crop suitability, particularly for optimized production on U.S. Tribal Lands.

His work extends to the analysis of land cover transformation and vegetative recovery following reclamation efforts, as demonstrated in his research at the Tar Creek Superfund site. Smith collaborates with researchers at the University of Arkansas at Fayetteville, including Lawton Lanier Nalley, Amanda J. Ashworth, Aurelie M. Poncet, and Shane Ylagan, with whom he has co-authored multiple publications.

With an h-index of 4 and 49 total citations across 14 publications, Smith's scholarship contributes to the fields of remote sensing, soil science, and geographic information systems in agricultural contexts.

Metrics

h-index: 5
Publications: 16
Citations: 53

Selected Publications

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

1 citation DOI OpenAlex
Policy-Driven Transfer Learning in Resource-Limited Animal Monitoring (2025)

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)

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

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

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

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

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

12 citations DOI OpenAlex
Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands (2022)

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

5 citations DOI OpenAlex