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Jing Zhou
Jing Zhou
Assistant Professor, Oregon State University
Bestätigte E-Mail-Adresse bei oregonstate.edu - Startseite
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Zitiert von
Zitiert von
Jahr
Classification of soybean leaf wilting due to drought stress using UAV-based imagery
J Zhou, J Zhou, H Ye, ML Ali, HT Nguyen, P Chen
Computers and Electronics in Agriculture 175, 105576, 2020
1092020
Yield estimation of soybean breeding lines under drought stress using unmanned aerial vehicle-based imagery and convolutional neural network
J Zhou, J Zhou, H Ye, ML Ali, P Chen, HT Nguyen
Biosystems Engineering 204, 90-103, 2021
772021
Estimation of the maturity date of soybean breeding lines using UAV-based multispectral imagery
J Zhou, D Yungbluth, CN Vong, A Scaboo, J Zhou
Remote Sensing 11 (18), 2075, 2019
772019
Automated segmentation of soybean plants from 3D point cloud using machine learning
J Zhou, X Fu, S Zhou, J Zhou, H Ye, HT Nguyen
Computers and Electronics in Agriculture 162, 143-153, 2019
732019
Qualification of soybean responses to flooding stress using UAV-based imagery and deep learning
J Zhou, H Mou, J Zhou, ML Ali, H Ye, P Chen, HT Nguyen
Plant Phenomics, 2021
492021
Development of an automated phenotyping platform for quantifying soybean dynamic responses to salinity stress in greenhouse environment
J Zhou, H Chen, J Zhou, X Fu, H Ye, HT Nguyen
Computers and Electronics in Agriculture 151, 319-330, 2018
422018
Estimation of maize yield and flowering time using multi-temporal UAV-based hyperspectral data
J Fan, J Zhou, B Wang, N de Leon, SM Kaeppler, DC Lima, Z Zhang
Remote Sensing 14 (13), 3052, 2022
342022
A review of remote sensing for potato traits characterization in precision agriculture
C Sun, J Zhou, Y Ma, Y Xu, B Pan, Z Zhang
Frontiers in Plant Science 13, 871859, 2022
242022
Evaluating geometric measurement accuracy based on 3d reconstruction of automated imagery in a greenhouse
J Zhou, X Fu, L Schumacher, J Zhou
Sensors 18 (7), 2270, 2018
232018
Development of an automated plant phenotyping system for evaluation of salt tolerance in soybean
S Zhou, H Mou, J Zhou, J Zhou, H Ye, HT Nguyen
Computers and Electronics in Agriculture 182, 106001, 2021
222021
Evaluation of fractal dimension of soft terrain surface
C Jiang, Z Lu, J Zhou, MS Memon
Journal of Terramechanics 70, 27-34, 2017
222017
IntegrateNet: A deep learning network for maize stand counting from UAV imagery by integrating density and local count maps
W Liu, J Zhou, B Wang, M Costa, SM Kaeppler, Z Zhang
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
212022
A systematic study of estimating potato N concentrations using UAV-based hyper-and multi-spectral imagery
J Zhou, B Wang, J Fan, Y Ma, Y Wang, Z Zhang
Agronomy 12 (10), 2533, 2022
192022
Quantifying variation in soybean due to flood using a low-cost 3D imaging system
W Cao, J Zhou, Y Yuan, H Ye, HT Nguyen, J Chen, J Zhou
Sensors 19 (12), 2682, 2019
192019
Improve soybean variety selection accuracy using UAV-based high-throughput phenotyping technology
J Zhou, E Beche, CC Vieira, D Yungbluth, J Zhou, A Scaboo, P Chen
Frontiers in Plant Science 12, 768742, 2022
162022
Potato leaf area index estimation using multi-sensor unmanned aerial vehicle (uav) imagery and machine learning
T Yu, J Zhou, J Fan, Y Wang, Z Zhang
Remote Sensing 15 (16), 4108, 2023
142023
Differentiate soybean response to off-target dicamba damage based on UAV imagery and machine learning
CC Vieira, S Sarkar, F Tian, J Zhou, D Jarquin, HT Nguyen, J Zhou, ...
Remote Sensing 14 (7), 1618, 2022
142022
Estimation of off-target dicamba damage on soybean using uav imagery and deep learning
F Tian, CC Vieira, J Zhou, J Zhou, P Chen
Sensors 23 (6), 3241, 2023
122023
A method for obtaining field wheat freezing injury phenotype based on RGB camera and software control
X Fu, Y Bai, J Zhou, H Zhang, J Xian
Plant Methods 17, 1-10, 2021
122021
A new Bayesian semi-supervised active learning framework for large-scale crop mapping using Sentinel-2 imagery
Y Xu, J Zhou, Z Zhang
ISPRS Journal of Photogrammetry and Remote Sensing 209, 17-34, 2024
82024
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