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Pengcheng Hu
Pengcheng Hu
在 csiro.au 的电子邮件经过验证
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引用次数
年份
Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: example for sorghum breeding
P Hu, SC Chapman, X Wang, A Potgieter, T Duan, D Jordan, Y Guo, ...
European Journal of Agronomy 95, 24-32, 2018
1602018
Image-based dynamic quantification and high-accuracy 3D evaluation of canopy structure of plant populations
F Hui, J Zhu, P Hu, L Meng, B Zhu, Y Guo, B Li, Y Ma
Annals of Botany 121 (5), 1079-1088, 2018
922018
Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding
P Hu, W Guo, SC Chapman, Y Guo, B Zheng
ISPRS Journal of Photogrammetry and Remote Sensing 154, 1-9, 2019
562019
A field-based high-throughput method for acquiring canopy architecture using unmanned aerial vehicle images
F Liu, P Hu, B Zheng, T Duan, B Zhu, Y Guo
Agricultural and Forest Meteorology 296, 108231, 2021
322021
Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops
P Hu, SC Chapman, B Zheng
Functional Plant Biology 48 (8), 766-779, 2021
252021
Three-dimensional reconstruction and its precision evaluation of plant architecture based on multiple view stereo method
P Hu, Y Guo, B Li, J Zhu, Y Ma
Transactions of the Chinese Society of Agricultural Engineering 31 (11), 209-214, 2015
252015
基于多视角立体视觉的植株三维重建与精度评估
胡鹏程, 郭焱, 李保国, 朱晋宇, 马韫韬
农业工程学报 31 (11), 209-214, 2015
172015
Unsupervised plot-scale LAI phenotyping via UAV-based imaging, modelling, and machine learning
Q Chen, B Zheng, K Chenu, P Hu, SC Chapman
Plant Phenomics, 2022
142022
Comparison of modelling strategies to estimate phenotypic values from an unmanned aerial vehicle with spectral and temporal vegetation indexes
P Hu, SC Chapman, H Jin, Y Guo, B Zheng
Remote Sensing 13 (14), 2827, 2021
112021
Using a gene-based phenology model to identify optimal flowering periods of spring wheat in irrigated mega-environments
P Hu, SC Chapman, S Dreisigacker, S Sukumaran, M Reynolds, B Zheng
Journal of Experimental Botany 72 (20), 7203-7218, 2021
92021
Quantification of the three-dimensional root system architecture using an automated rotating imaging system
Q Wu, J Wu, P Hu, W Zhang, Y Ma, K Yu, Y Guo, J Cao, H Li, B Li, Y Yao, ...
Plant Methods 19 (1), 11, 2023
52023
Phenological optimization of late reproductive phase for raising wheat yield potential in irrigated mega-environments
P Hu, SC Chapman, S Sukumaran, M Reynolds, B Zheng
Journal of Experimental Botany 73 (12), 4236-4249, 2022
32022
基于四旋翼无人机快速获取大田植株图像的方法及其应用
李晓鹏, 胡鹏程, 徐照丽, 晋艳, 杨宇虹, 郑邦友, 段涛, 郭焱
中国农业大学学报 22 (12), 131-137, 2017
22017
Extraction of phenotypic traits using unmanned aerial vehicle for field experiments in the agronomy and crop breeding.
P Hu, B Zheng, S Chapman
12019
Climate change enhances stability of wheat-flowering-date
Y He, W Xiong, P Hu, D Huang, JA Feurtado, T Zhang, C Hao, R DePauw, ...
Science of The Total Environment 917, 170305, 2024
2024
Quantification of the cumulative shading capacity in a maize-soybean intercropping system using unmanned aerial vehicle
M Li, P Hu, D He, B Zheng, Y Guo, Y Wu, T Duan
Plant Phenomics, 2023
2023
Analysis of longitudinal, image-based canopy cover estimates as a quality indicator in wheat variety trials
J Ramakers, D Bustos-Korts, J Hemerik, M Boer, S Grunefeld, P Hu, ...
2022
Integration of data across scales to predict genotype performance in National Variety Trials
S Chapman, V Noviati, P Hu, C McLaren, D Smith, M Choudhury, Z Chen, ...
2022
Evaluation of Phenology Models for High Throughput Phenotyping in Kansas Wheat Breeding
B Evers, P Hu, X Wang, B Zheng, A Fritz, J Poland
ASA, CSSA, SSSA International Annual Meeting, 2021
2021
Gxexm Options to Adapt Flowering Time and Harvest Index in Spring Wheat Environments
SC Chapman, P Hu, B Zheng
ASA, CSSA and SSSA International Annual Meetings (2019), 2019
2019
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