Jason A. Davis
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor and Extension Specialist of Remote Sensing and Pesticide Application
Also affiliated: United States Department of Agriculture (2023); University of Arkansas System (2020–2024)
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Jason A. Davis's research focuses on the application of remote sensing technologies and pesticide application practices in agricultural settings. His work investigates methods to improve the accuracy and efficiency of herbicide application, particularly in agronomic crops and turfgrass. Davis has studied the impact of nozzle types and spray solutions on coverage and deposit, and how these factors, along with weed size, affect the control of specific weeds like Palmer amaranth.
His research also explores the use of remote sensing for crop and weed detection. Recent publications include work on developing models for real-time weed detection in turfgrass and evaluating automated weed pressure measurement systems for unmanned aerial vehicles. He has also investigated the analysis of large patch epidemics in Zoysiagrass using remote sensing and environmental factors. Davis has collaborated with several researchers at the University of Arkansas at Fayetteville, contributing to a body of work in agricultural science.
Metrics
- h-index: 2
- Publications: 6
- Citations: 38
Positions
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Assistant Professor and Extension Specialist of Remote Sensing and Pesticide Application 2023–presentUniversity of Arkansas System Crop Soils and Environmental Sciences ORCID
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Application Technologist 2014–2023University of Arkansas System Agriculture and Natural Resources ORCID
Selected Publications
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Analyzing Large Patch Epidemics in Zoysiagrass Using Remote Sensing and Environmental Factors (2026)
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Development of a DGCI threshold model for real-time weed detection and herbicide application in turfgrass (2026)
Collaboration Network
Top Collaborators
- Development of a DGCI threshold model for real-time weed detection and herbicide application in turfgrass
- Analyzing Large Patch Epidemics in Zoysiagrass Using Remote Sensing and Environmental Factors
- Development of a DGCI threshold model for real-time weed detection and herbicide application in turfgrass
- Analyzing Large Patch Epidemics in Zoysiagrass Using Remote Sensing and Environmental Factors
- Development of a DGCI threshold model for real-time weed detection and herbicide application in turfgrass
- Analyzing Large Patch Epidemics in Zoysiagrass Using Remote Sensing and Environmental Factors
- Development of a DGCI threshold model for real-time weed detection and herbicide application in turfgrass
- Analyzing Large Patch Epidemics in Zoysiagrass Using Remote Sensing and Environmental Factors
- Development of a DGCI threshold model for real-time weed detection and herbicide application in turfgrass
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