Aurelie M. Poncet
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor of Precision Agriculture
Also affiliated: North Carolina State University (2020); University of Arkansas System (2021–2025); University of Missouri (2023); Auburn University (2019)
Faculty Researcher
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: 26
- Citations: 296
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 (<i>Echinochloa crus-galli</i>) 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Inservice needs of selected Arkansas agriculture teachers related to precision agriculture
- Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing
- Hyperspectral indicators and characterization of glyphosate-induced stress in common lambsquarters (Chenopodium album L.)
- 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
- 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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