David Miller
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Instructor
Faculty Researcher
Crop, Soil and Environmental Sciences
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
David Miller's research focuses on soil remediation and plant cultivation. His recent work includes studies on the use of biochar and industrial hemp for remediating heavy-metal-contaminated soil, specifically examining root uptake and translocation of cadmium, lead, and zinc. Miller has also investigated the influence of industrial hemp cultivar and biochar application rates on soil remediation efficacy, particularly for sites like the Tar Creek Superfund Site. His research extends to evaluating the impact of tractor traffic during alfalfa harvest on crop quality and the optimization of calibration models for soil carbon estimation using mid-infrared spectroscopy. Miller holds an h-index of 16 with 56 total publications and 819 citations. He has collaborated with several researchers at the University of Arkansas at Fayetteville, including Kristofor R. Brye and Dennis K. Thurston.
Metrics
- h-index: 16
- Publications: 56
- Citations: 819
Selected Publications
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Real-Wastewater-Derived-Struvite Effects on Dissolved Nutrients in Simulated Rainfall-Runoff Water (2026)
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Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon (2025)
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Use of Biochar and Industrial Hemp for Remediation of Heavy-Metal-Contaminated Soil: Root Uptake and Translocations for Cd, Pb, and Zn (2025)
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Evaluation of Industrial Hemp Cultivar and Biochar Rate to Remediate Heavy-Metal-Contaminated Soil from the Tar Creek Superfund Site, USA (2024)
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Optimization of calibration models for soil carbon estimation using mid-infrared spectroscopy (2022)
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Infiltration and short-term movement of nitrogen in a silt-loam soil typical of rice cultivation in Arkansas (2006)
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Matrices to Revise Crop, Soil, and Environmental Sciences Undergraduate Curricula (2005)
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Relationships Among Soil Carbon and Physiochemical Properties of a Typic Albaqualf as Affected by Years Under Cultivation (2004)
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Short‐Term Effects of Land Leveling on Soil Chemical Properties and Their Relationships with Microbial Biomass (2004)
Collaboration Network
Top Collaborators
- Use of Biochar and Industrial Hemp for Remediation of Heavy-Metal-Contaminated Soil: Root Uptake and Translocations for Cd, Pb, and Zn
- Evaluation of Industrial Hemp Cultivar and Biochar Rate to Remediate Heavy-Metal-Contaminated Soil from the Tar Creek Superfund Site, USA
- Optimization of calibration models for soil carbon estimation using mid-infrared spectroscopy
- Optimization of calibration models for soil carbon estimation using mid-infrared spectroscopy
- Evaluation of Industrial Hemp Cultivar and Biochar Rate to Remediate Heavy-Metal-Contaminated Soil from the Tar Creek Superfund Site, USA
- Evaluation of Industrial Hemp Cultivar and Biochar Rate to Remediate Heavy-Metal-Contaminated Soil from the Tar Creek Superfund Site, USA
- Evaluation of Industrial Hemp Cultivar and Biochar Rate to Remediate Heavy-Metal-Contaminated Soil from the Tar Creek Superfund Site, USA
- Use of Biochar and Industrial Hemp for Remediation of Heavy-Metal-Contaminated Soil: Root Uptake and Translocations for Cd, Pb, and Zn
- Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
- Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
- Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
- Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
- Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
- Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
- Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
- Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
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