Match tier
Confirmed
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
A
Aurelie M. Poncet
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: North Carolina State University (2020); University of Arkansas System (2021–2025); University of Missouri (2023); Auburn University (2019)
9 h-index
25 pubs
305 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Aurelie M. Poncet's research focuses on understanding and improving agricultural systems, particularly in relation to crop management and weed control. She investigates the ecological dynamics of crop-weed interactions, such as the relationships among rice and barnyardgrass in different row widths and cultivars. Poncet also studies soil and plant nutrient management, examining cover crop residue decomposition and nitrogen release, and mapping plant nutrient concentrations to inform sampling protocols. Her work includes assessing field variability using apparent electrical conductivity in agroforestry systems. Poncet has published 26 papers, with a total of 285 citations and an h-index of 9. She collaborates with several researchers at the University of Arkansas at Fayetteville, including Cengiz Koparan, Kristofor R. Brye, Harrison Smith, and Shane Ylagan.
Metrics
- h-index: 9
- Publications: 25
- Citations: 305
Positions
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Assistant Professor 2020–presentUniversity of Arkansas Soil and Environmental Sciences ORCID
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Assistant Professor of Precision Agriculture 2020–presentDivision of Agriculture, University of Arkansas System Crop, Soil, and Environmental Sciences ORCID
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Postdoctoral Research Scholar 2019–2020North Carolina State University College of Agriculture and Life Sciences Crop & Sciences ORCID
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Postdoctoral Research Associate 2017–2019Auburn University College of Agriculture Crop, Soil, and Environmental Sciences ORCID
Selected Publications
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Economically Optimal Soil Sampling Density and Application Technology for Potassium Fertilizer for Soybean in the Mid-Southern US (2025)
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Hyperspectral indicators and characterization of glyphosate-induced stress in common lambsquarters (Chenopodium album L.) (2025)
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Understanding the yield impacts of alternative cover crop families and mixtures: Evidence from side‐by‐side plot‐level panel data (2024)
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Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing (2024)
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Inservice needs of selected Arkansas agriculture teachers related to precision agriculture (2024)
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Evaluation of row width and nozzle selection on spray coverage and weed control in flooded rice (2024)
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Effects of bed width and crop row spacing on barnyardgrass (Echinochloa crus-galli) emergence and seed production in furrow-irrigated rice (2024)
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Determining Economic Optimum Soil Sampling Density for Potassium Fertilizer Management in Soybean: A Case Study in the U.S. Mid-South (2023)
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Mapping variability of soybean leaf potassium concentrations to develop a sampling protocol (2023)
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Relationships among apparent electrical conductivity and plant and terrain data in an agroforestry system in the Ozark Highlands (2023)
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Relationships Among Apparent Electrical Conductivity and Plant and Terrain Data in an Agroforestry System in the Ozark Highlands (2023)
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Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands (2022)
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Modeling surface residue decomposition and N release using the Cover Crop Nitrogen Calculator (CC-NCALC) (2022)
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Cover crop residue decomposition in no-till cropping systems: Insights from multi-state on-farm litter bag studies (2021)
Collaboration Network
Top Collaborators
Kristofor R. Brye
University of Arkansas System
4 shared publications
In database
- Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands
- Relationships among apparent electrical conductivity and plant and terrain data in an agroforestry system in the Ozark Highlands
- Hyperspectral indicators and characterization of glyphosate-induced stress in common lambsquarters (Chenopodium album L.)
- Relationships Among Apparent Electrical Conductivity and Plant and Terrain Data in an Agroforestry System in the Ozark Highlands
Amanda J. Ashworth
U.S. National Poultry Research Center
4 shared publications
In database
- Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands
- Relationships among apparent electrical conductivity and plant and terrain data in an agroforestry system in the Ozark Highlands
- Hyperspectral indicators and characterization of glyphosate-induced stress in common lambsquarters (Chenopodium album L.)
- Relationships Among Apparent Electrical Conductivity and Plant and Terrain Data in an Agroforestry System in the Ozark Highlands
Resham Thapa
Tennessee State University (US)
3 shared publications
- Cover crop residue decomposition in no-till cropping systems: Insights from multi-state on-farm litter bag studies
- Modeling surface residue decomposition and N release using the Cover Crop Nitrogen Calculator (CC-NCALC)
- Understanding the yield impacts of alternative cover crop families and mixtures: Evidence from side‐by‐side plot‐level panel data
Chris Reberg‐Horton
North Carolina State University (US)
3 shared publications
- Cover crop residue decomposition in no-till cropping systems: Insights from multi-state on-farm litter bag studies
- Modeling surface residue decomposition and N release using the Cover Crop Nitrogen Calculator (CC-NCALC)
- Understanding the yield impacts of alternative cover crop families and mixtures: Evidence from side‐by‐side plot‐level panel data
M. L. Cabrera
University of Georgia (US)
3 shared publications
- Cover crop residue decomposition in no-till cropping systems: Insights from multi-state on-farm litter bag studies
- Modeling surface residue decomposition and N release using the Cover Crop Nitrogen Calculator (CC-NCALC)
- Understanding the yield impacts of alternative cover crop families and mixtures: Evidence from side‐by‐side plot‐level panel data
Julia W. Gaskin
University of Georgia (US)
3 shared publications
- Cover crop residue decomposition in no-till cropping systems: Insights from multi-state on-farm litter bag studies
- Modeling surface residue decomposition and N release using the Cover Crop Nitrogen Calculator (CC-NCALC)
- Understanding the yield impacts of alternative cover crop families and mixtures: Evidence from side‐by‐side plot‐level panel data
Harry H. Schomberg
Beltsville Agricultural Research Center (US)
3 shared publications
- Cover crop residue decomposition in no-till cropping systems: Insights from multi-state on-farm litter bag studies
- Modeling surface residue decomposition and N release using the Cover Crop Nitrogen Calculator (CC-NCALC)
- Understanding the yield impacts of alternative cover crop families and mixtures: Evidence from side‐by‐side plot‐level panel data
Steven B. Mirsky
Beltsville Agricultural Research Center (US)
3 shared publications
- Cover crop residue decomposition in no-till cropping systems: Insights from multi-state on-farm litter bag studies
- Modeling surface residue decomposition and N release using the Cover Crop Nitrogen Calculator (CC-NCALC)
- Understanding the yield impacts of alternative cover crop families and mixtures: Evidence from side‐by‐side plot‐level panel data
Shane Ylagan
University of Arkansas at Fayetteville
3 shared publications
In database
- Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands
- Relationships among apparent electrical conductivity and plant and terrain data in an agroforestry system in the Ozark Highlands
- Relationships Among Apparent Electrical Conductivity and Plant and Terrain Data in an Agroforestry System in the Ozark Highlands
Phillip Owens
Dale Bumpers Small Farms Research Center (US)
3 shared publications
- Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands
- Relationships among apparent electrical conductivity and plant and terrain data in an agroforestry system in the Ozark Highlands
- Relationships Among Apparent Electrical Conductivity and Plant and Terrain Data in an Agroforestry System in the Ozark Highlands
Harrison Smith
University of Arkansas at Fayetteville
3 shared publications
In database
- Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands
- Relationships among apparent electrical conductivity and plant and terrain data in an agroforestry system in the Ozark Highlands
- Relationships Among Apparent Electrical Conductivity and Plant and Terrain Data in an Agroforestry System in the Ozark Highlands
Nathan A. Slaton
University of Arkansas System
3 shared publications
In database
- Mapping variability of soybean leaf potassium concentrations to develop a sampling protocol
- Determining Economic Optimum Soil Sampling Density for Potassium Fertilizer Management in Soybean: A Case Study in the U.S. Mid-South
- Economically Optimal Soil Sampling Density and Application Technology for Potassium Fertilizer for Soybean in the Mid-Southern US
Cengiz Koparan
University of Arkansas System
3 shared publications
In database
- Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing
- Inservice needs of selected Arkansas agriculture teachers related to precision agriculture
- Hyperspectral indicators and characterization of glyphosate-induced stress in common lambsquarters (Chenopodium album L.)
Brian W. Davis
Beltsville Agricultural Research Center (US)
2 shared publications
- Cover crop residue decomposition in no-till cropping systems: Insights from multi-state on-farm litter bag studies
- Understanding the yield impacts of alternative cover crop families and mixtures: Evidence from side‐by‐side plot‐level panel data
David H. Fleisher
Beltsville Agricultural Research Center (US)
2 shared publications
- Cover crop residue decomposition in no-till cropping systems: Insights from multi-state on-farm litter bag studies
- Modeling surface residue decomposition and N release using the Cover Crop Nitrogen Calculator (CC-NCALC)
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