Cengiz Koparan Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Cengiz Koparan's research investigates the application of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) in precision agriculture. His work focuses on computer-assisted agricultural machine systems and the integration of these technologies to enhance agricultural practices and management. Koparan has explored the use of UAVs for applications such as thermal infrared and multispectral imaging to detect glyphosate resistance in weeds. He has also studied computer vision and deep learning algorithms for classifying weed and crop species, and for developing smart sprayer systems for site-specific weed management. His publications include reviews on UAV sprayer applications and ground robotic technologies for weed management. Koparan's scholarship metrics indicate an h-index of 15 with over 1,100 citations across 29 publications. He has collaborated with several researchers at the University of Arkansas at Fayetteville, including Aurelie M. Poncet, Alexander Silva, Margaret Worthington, and Donald Johnson.
Metrics
- h-index: 15
- Publications: 29
- Citations: 1,111
Selected Publications
- Hyperspectral indicators and characterization of glyphosate-induced stress in common lambsquarters (Chenopodium album L.) (2025) DOI
- A practical guide to UAV-based weed identification in soybean: Comparing RGB and multispectral sensor performance (2025) DOI
- Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing (2024) DOI
- Inservice needs of selected Arkansas agriculture teachers related to precision agriculture (2024) DOI
- Advances in ground robotic technologies for site-specific weed management in precision agriculture: A review (2024) DOI
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