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 | 161 | 2018 |
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 | 93 | 2018 |
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 | 56 | 2019 |
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 | 35 | 2021 |
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 | 26 | 2021 |
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 | 26 | 2015 |
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 | 17 | 2015 |
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 | 16 | 2022 |
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 | 11 | 2021 |
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 | 9 | 2021 |
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 | 5 | 2023 |
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 | 3 | 2022 |
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 | 2 | 2017 |
Extraction of phenotypic traits using unmanned aerial vehicle for field experiments in the agronomy and crop breeding. P Hu, B Zheng, S Chapman | 1 | 2019 |
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 |