David Miller Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Instructor
faculty
Crop, Soil and Environmental Sciences
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
David Miller's research investigates methods for remediating heavy-metal-contaminated soil, with a focus on the application of biochar and industrial hemp. His work includes evaluating different industrial hemp cultivars and biochar application rates to improve soil quality and facilitate the uptake and translocation of contaminants like cadmium, lead, and zinc. Miller also studies the effects of agronomic practices, such as tractor traffic during harvest, on crop quality, as demonstrated by his work with alfalfa. Additionally, his research interests extend to the optimization of calibration models for soil carbon estimation using mid-infrared spectroscopy and the influences of sampling design and model selection on predictions of chemical compounds in geological formations.
Metrics
- h-index: 16
- Publications: 56
- Citations: 819
Selected Publications
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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)
Collaboration Network
Top Collaborators
- The idea of the nation
- 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
- Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon
- Balancing Military Influence in National Security
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