Jason 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: University of Arkansas System (2020–2026); University of Arkansas Community College at Batesville (2023); Wageningen University & Research (2017–2019)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Jason Davis's research focuses on the application of remote sensing technologies and precise pesticide application methods in agriculture and turfgrass management. He investigates how different nozzle types and spray solutions affect herbicide efficacy, particularly in controlling Palmer amaranth. Davis has also explored the use of remote sensing for detecting and measuring weed pressure in turfgrass, including the development of detection models and automated measurement systems for unmanned aerial vehicles. His work contributes to optimizing herbicide application for improved weed control and potentially reduced environmental impact. Davis has collaborated with researchers at the University of Arkansas at Fayetteville, including Samuel Kreinberg and Hannah Wright-Smith, on several publications.
Metrics
- h-index: 3
- Publications: 10
- Citations: 145
Selected Publications
-
Analyzing Large Patch Epidemics in Zoysiagrass Using Remote Sensing and Environmental Factors (2026)
-
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
Similar Researchers
Based on overlapping research topics