Aaron M. Shew Source Confirmed
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Researcher
University of Arkansas at Fayetteville
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Biography and Research Information
OverviewAI-generated summary
Aaron M. Shew's research interests encompass agricultural technology adoption, climate change impacts, and the economic and ecological consequences of agricultural practices. He has investigated consumer valuation of blockchain traceability for beef in the United States and examined the economic and ecosystem impacts of genetically modified (GM) maize in South Africa, noting that yield gains were larger in GM maize intended for human consumption compared to livestock feed.
His work also explores the application of remote sensing technologies in agriculture. This includes determining nitrogen deficiencies in maize using various remote sensing indices, and developing methodological frameworks for identifying winter-time cover crops using remote sensing data. Shew has also studied the relationship between climate change risk perceptions and agricultural adaptation strategies in vulnerable riverine areas of Bangladesh, finding that perceived increases in yield loss due to climate risk correlate with higher agricultural technology adoption.
Shew holds a h-index of 19 with 1,617 total citations across 70 publications. He has served as PI on two federal grants from the NIH, totaling $778,030. The first, funded by the National Institute on Drug Abuse, focuses on "Tunable multi-timescale cortical dynamics: fundamental theory and practical tools" ($328,030). The second, from the National Institute of Neurological Disorders and Stroke, investigates "High dimensional motor coding and motor dysfunction in Rett syndrome" ($450,000). He collaborates with several faculty members at the University of Arkansas at Fayetteville, including Lawton Lanier Nalley, Alvaro Durand-Morat, Zobaer Ahmed, and Michael P. Popp.
Metrics
- h-index: 19
- Publications: 70
- Citations: 1,617
Selected Publications
- Evaluating groundwaterâsurface water interactions at selected streams in the Mississippi River Valley alluvial aquifer, USA, and comparison to regional potentiometric surfaces (2025) DOI
- Satellite Remote Sensing Reveals Voluntary Cover-Crop Adoption and Crop-Rotation Hotspots in the Mississippi Alluvial Plain (2025) DOI
- Agricultural producer and non-producer perceptions of crop residue burning: a focus on arkansas (2024) DOI
- Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation (2023) DOI
- An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture (2023) DOI
- Does Rice Quality Matter? Understanding Consumer Preferences for Rice in Nigeria (2022) DOI
- The future of CRISPR gene editing according to plant scientists (2022) DOI
- Environmental Impact Assessment of Tractor Guidance Systems Based on Pasture Management Scenarios (2022) DOI
- Climate risk perceptions and perceived yield loss increases agricultural technology adoption in the polder areas of Bangladesh (2022) DOI
- Determining nitrogen deficiencies for maize using various remote sensing indices (2022) DOI
- Quality determinates of rice price in open bag markets in Sub-Saharan Africa (2021) DOI
- Economic and ecosystem impacts of GM maize in South Africa (2021) DOI
- Holistically valuing public investments in agricultural water conservation (2021) DOI
- Consumer valuation of blockchain traceability for beef in the <scp>U</scp>nited <scp>S</scp>tates (2021) DOI
- Yield gains larger in GM maize for human consumption than livestock feed in South Africa (2021) DOI
Federal Grants 2 $778,030 total
Tunable multi-timescale cortical dynamics: fundamental theory and practical tools
High dimensional motor coding and motor dysfunction in Rett syndrome
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