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Cengiz Koparan
Cengiz Koparan
Assistant Professor of Precision Agriculture Technology, University of Arkansas
在 uark.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
A technical study on UAV characteristics for precision agriculture applications and associated practical challenges
N Delavarpour, C Koparan, J Nowatzki, S Bajwa, X Sun
Remote Sensing 13 (6), 1204, 2021
2172021
In situ water quality measurements using an unmanned aerial vehicle (UAV) system
C Koparan, AB Koc, CV Privette, CB Sawyer
Water 10 (3), 264, 2018
1482018
Evaluation of a UAV-assisted autonomous water sampling
C Koparan, AB Koc, CV Privette, CB Sawyer, JL Sharp
Water 10 (5), 655, 2018
802018
Weed and crop species classification using computer vision and deep learning technologies in greenhouse conditions
GC Sunil, Y Zhang, C Koparan, MR Ahmed, K Howatt, X Sun
Journal of Agriculture and Food Research 9, 100325, 2022
562022
Autonomous in situ measurements of noncontaminant water quality indicators and sample collection with a UAV
C Koparan, AB Koc, CV Privette, CB Sawyer
Water 11 (3), 604, 2019
422019
Adaptive water sampling device for aerial robots
C Koparan, AB Koc, CV Privette, CB Sawyer
Drones 4 (1), 5, 2020
362020
Unmanned aerial vehicle (UAV) assisted water sampling
C Koparan, AB Koc
2016 ASABE annual international meeting, 1, 2016
282016
A study on deep learning algorithm performance on weed and crop species identification under different image background
GC Sunil, C Koparan, MR Ahmed, Y Zhang, K Howatt, X Sun
Artificial Intelligence in Agriculture 6, 242-256, 2022
152022
Temperature profiling of waterbodies with a UAV-integrated sensor subsystem
C Koparan, AB Koc, C Sawyer, C Privette
Drones 4 (3), 35, 2020
152020
In situ water quality measurements using an unmanned aerial vehicle (UAV) system. Water 10 (3), 264
C Koparan, AB Koc, CV Privette, CB Sawyer
92018
In situ water quality measurements using an unmanned aerial vehicle (UAV) system. Water, 10, 264
C Koparan, AB Koc, CV Privette, CB Sawyer
82018
Image based thermal sensing for glyphosate resistant weed identification in greenhouse conditions
A Eide, Y Zhang, C Koparan, J Stenger, M Ostlie, K Howatt, S Bajwa, ...
Computers and Electronics in Agriculture 188, 106348, 2021
62021
UAV-assisted water quality monitoring
C Koparan
Clemson University, 2020
62020
Laboratory evaluation of high-frequency vibrations on soil cutting force
AB Koc, C Koparan, A Baig
2017 ASABE Annual International Meeting, 1, 2017
42017
Multiclass classification on soybean and weed species using a novel customized greenhouse robotic and hyperspectral combination system
MR Ahmed, BG Ram, C Koparan, K Howatt, Y Zhang, X Sun
Available at SSRN 4044574, 0
4
A Review of the Current Unmanned Aerial Vehicle Sprayer Applications in Precision Agriculture
N Delavarpour, C Koparan, Y Zhang, DD Steele, K Betitame, SG Bajwa, ...
Journal of the ASABE, 0, 2023
32023
Multiclass Classification on Soybean and Weed Species using A Customized Greenhouse Robotic and Hyperspectral Combination System
MR Ahmed, B Ram, C Koparan, K Howatt, Y Zhang, X Sun
Journal of the ASABE 65 (5), 1071-1080, 2022
22022
Development of a UAV-Assisted water quality measurement system
C Koparan, AB Koc
2017 ASABE Annual International Meeting, 1, 2017
22017
Evaluation of Dicamba Drift Injury and Yield Loss on Soybean Using Small Unmanned Aircraft Systems (sUAS) and Multispectral Imaging Technologies
K Betitame, C Koparan, Y Zhang, K Howatt, M Ostlie, SG Bajwa, X Sun
American Society of Agricultural and Biological Engineers 2 (2), 63-76, 2024
2024
Journal of Agriculture and Food Research
GC Sunil, Y Zhang, C Koparan, MR Ahmed, K Howatt, X Sun
Journal of Agriculture and Food Research 9, 100325, 2022
2022
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