| Image-based dynamic quantification of aboveground structure of sugar beet in field S Xiao, H Chai, K Shao, M Shen, Q Wang, R Wang, Y Sui, Y Ma Remote Sensing 12 (2), 269, 2020 | 41 | 2020 |
| Estimating vertical chlorophyll concentrations in maize in different health states using hyperspectral LiDAR K Bi, S Xiao, S Gao, C Zhang, N Huang, Z Niu IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8125-8133, 2020 | 34 | 2020 |
| High-throughput calculation of organ-scale traits with reconstructed accurate 3D canopy structures using a UAV RGB camera with an advanced cross-circling oblique route S Xiao, Y Ye, S Fei, H Chen, Z Cai, Y Che, Q Wang, AZ Ghafoor, K Bi, ... ISPRS Journal of Photogrammetry and Remote Sensing 201, 104-122, 2023 | 30 | 2023 |
| Estimating economic benefit of sugar beet based on three-dimensional computer vision: a case study in Inner Mongolia, China S Xiao, H Chai, Q Wang, K Shao, L Meng, R Wang, B Li, Y Ma European Journal of Agronomy 130, 126378, 2021 | 18 | 2021 |
| Simultaneous extraction of plant 3-D biochemical and structural parameters using hyperspectral LiDAR K Bi, Z Niu, S Gao, S Xiao, J Pei, C Zhang, N Huang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 13 | 2020 |
| 3D reconstruction and characterization of cotton bolls in situ based on UVA technology S Xiao, S Fei, Y Ye, D Xu, Z Xie, K Bi, Y Guo, B Li, R Zhang, Y Ma ISPRS Journal of Photogrammetry and Remote Sensing 209, 101-116, 2024 | 12 | 2024 |
| Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography S Fei, S Xiao, Q Li, M Shu, W Zhai, Y Xiao, Z Chen, H Yu, Y Ma Computers and Electronics in Agriculture 215, 108462, 2023 | 9 | 2023 |
| The importance of using realistic 3D canopy models to calculate light interception in the field S Xiao, S Fei, Q Li, B Zhang, H Chen, D Xu, Z Cai, K Bi, Y Guo, B Li, ... Plant Phenomics 5, 0082, 2023 | 9 | 2023 |
| A fast and accurate approach to the extraction of leaf midribs from point clouds S Xiao, S Liu, K Bi, M Du Remote sensing letters 11 (3), 255-264, 2020 | 8 | 2020 |
| Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging G Sun, Y Zhang, H Chen, L Wang, M Li, X Sun, S Fei, S Xiao, L Yan, Y Li, ... European Journal of Agronomy 155, 127134, 2024 | 7 | 2024 |
| N distribution characterization based on organ-level biomass and N concentration using a hyperspectral lidar K Bi, S Gao, S Xiao, C Zhang, J Bai, N Huang, G Sun, Z Niu Computers and Electronics in Agriculture 199, 107165, 2022 | 7 | 2022 |
| Estimation of maize photosynthesis traits using hyperspectral LiDAR backscattered intensity K Bi, Z Niu, S Xiao, J Bai, G Sun, J Wang, Z Han, S Gao Remote Sensing 13 (21), 4203, 2021 | 7 | 2021 |
| Dual sampling linear regression ensemble to predict wheat yield across growing seasons with hyperspectral sensing S Fei, S Xiao, J Zhu, Y Xiao, Y Ma Computers and Electronics in Agriculture 216, 108514, 2024 | 6 | 2024 |
| Segmentation of individual leaves of field grown sugar beet plant based on 3D point cloud Y Liu, G Zhang, K Shao, S Xiao, Q Wang, J Zhu, R Wang, L Meng, Y Ma Agronomy 12 (4), 893, 2022 | 6 | 2022 |
| Non-destructive monitoring of maize nitrogen concentration using a hyperspectral LiDAR: an evaluation from leaf-level to plant-level K Bi, Z Niu, S Xiao, J Bai, G Sun, J Wang, Z Han, S Gao Remote Sensing 13 (24), 5025, 2021 | 4 | 2021 |
| Quantitative analysis and planting optimization of multi-genotype sugar beet plant types based on 3D plant architecture H Chen, M Zhang, S Xiao, Q Wang, Z Cai, Q Dong, P Feng, K Shao, Y Ma Computers and Electronics in Agriculture 225, 109231, 2024 | 1 | 2024 |
| Investigating the 3D distribution of Cercospora leaf spot disease in sugar beet through fusion methods S Xiao, H Chen, Y Hou, K Shao, K Bi, R Wang, Y Sui, J Zhu, Y Guo, B Li, ... Computers and Electronics in Agriculture 224, 109107, 2024 | 1 | 2024 |
| Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning G Sun, Y Zhang, L Wang, L Zhou, S Fei, S Han, S Xiao, Y Che, L Yan, ... Computers and Electronics in Agriculture 230, 109859, 2025 | | 2025 |
| Improved random patches and model transfer for deriving leaf mass per area across multispecies from spectral reflectance S Fei, S Xiao, D Xu, M Shu, H Sun, P Feng, Y Xiao, Y Ma Computers and Electronics in Agriculture 218, 108745, 2024 | | 2024 |
| Enhancing 3d Spectral Mapping of Trees Using Corrected Intensity of Hyperspectral Lidar K Bi, S Xiao, Z Niu, J Liu, Y Hao, L Wang, W Li Available at SSRN 4910142, 0 | | |
