Lawson Connor Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
faculty
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Lawson Connor's research investigates the economic and policy drivers of agricultural practices in the United States, with a focus on soil health and crop insurance. His work examines how factors such as crop insurance participation influence the adoption of cover crops, as demonstrated in his study using Indiana county-level data. Connor also explores the methodological frameworks for identifying cover crops through remote sensing and the actuarial implications of prevented planting coverage. His research extends to the economic and policy aspects of climate-smart soil health practices and the determinants of market participation among producers in different regions, including Kyrgyzstan. Connor has published 28 papers with 135 citations, and his work is supported by collaborations with researchers at the University of Arkansas at Fayetteville and Arkansas State University.
Metrics
- h-index: 5
- Publications: 28
- Citations: 138
Selected Publications
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Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain (2025)
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Climate-driven doubling of U.S. maize loss probability: Interactive simulation with neural network Monte Carlo (2025)
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Economic and Policy Drivers of Climate-Smart Soil Health Practices in the United States (2025)
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Determinants of Market Participation among Milk Producers in Kyrgyzstan (2025)
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Actuarial implications of prevented planting coverage (2024)
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Diversified crop rotations mitigate agricultural losses from dry weather. (2024)
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Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation (2023)
Collaboration Network
Top Collaborators
- Crop insurance participation and cover crop use: Evidence from Indiana county‐level data
- Economic and Policy Drivers of Climate-Smart Soil Health Practices in the United States
- The effect of crop insurance on agricultural loan delinquencies
- Effect of Crop Insurance Participation on Farm Bankruptcies and Loan Delinquencies
- Economic and Policy Drivers of Climate-Smart Soil Health Practices in the United States
- The effect of crop insurance on agricultural loan delinquencies
- Effect of Crop Insurance Participation on Farm Bankruptcies and Loan Delinquencies
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Solar investment analysis: effects of electricity rate structure and financing terms on financial leverage, after-tax cash flow and profitability
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Diversified crop rotations mitigate agricultural losses from dry weather.
- Climate-Driven Doubling of U.S. Maize Loss Probability: Interactive Simulation with Neural Network Monte Carlo
- Climate-driven doubling of U.S. maize loss probability: Interactive simulation with neural network Monte Carlo
- The effect of crop insurance on agricultural loan delinquencies
- Effect of Crop Insurance Participation on Farm Bankruptcies and Loan Delinquencies
- The effect of crop insurance on agricultural loan delinquencies
- Effect of Crop Insurance Participation on Farm Bankruptcies and Loan Delinquencies
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain
- Climate-Driven Doubling of U.S. Maize Loss Probability: Interactive Simulation with Neural Network Monte Carlo
- Climate-driven doubling of U.S. maize loss probability: Interactive simulation with neural network Monte Carlo
- Climate-Driven Doubling of U.S. Maize Loss Probability: Interactive Simulation with Neural Network Monte Carlo
- Climate-driven doubling of U.S. maize loss probability: Interactive simulation with neural network Monte Carlo
- Determinants of Market Participation among Milk Producers in Kyrgyzstan
- Minority Farmer and Rancher Delinquency and Local Cultural Climate: Evidence from Farm Service Agency's County Office Committees
- Are cash rents sticky? An analysis of county level data
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