1 citations · 1 across the 5 of their papers we have counts for
5 papers
Three-dimentional reconstruction of complex, dynamic population canopy architecture for crops with a novel point cloud completion model: A case study in Brassica napus rapeseed
Ziyue Guo, Xin Yang, Yutao Shen +3
Quantitative descriptions of the complete canopy architecture are essential for accurately evaluating crop photosynthesis and yield performance to guide ideotype design. Although v…
PlantSegNeRF: A few-shot, cross-species method for plant 3D instance point cloud reconstruction via joint-channel NeRF with multi-view image instance matching
Xin Yang, Ruiming Du, Hanyang Huang +7
Organ segmentation of plant point clouds is a prerequisite for the high-resolution and accurate extraction of organ-level phenotypic traits. Although the fast development of deep l…
Biomass phenotyping of oilseed rape through UAV multi-view oblique imaging with 3DGS and SAM model
Yutao Shen, Hongyu Zhou, Xin Yang +5
Biomass estimation of oilseed rape is crucial for optimizing crop productivity and breeding strategies. While UAV-based imaging has advanced high-throughput phenotyping, current me…
PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone
Xin Yang, Xuqi Lu, Pengyao Xie +6
The rice panicle traits significantly influence grain yield, making them a primary target for rice phenotyping studies. However, most existing techniques are limited to controlled…
Generating high-quality 3DMPCs by adaptive data acquisition and NeREF-based radiometric calibration with UGV plant phenotyping system
Pengyao Xie, Zhihong Ma, Ruiming Du +2
Fusion of 3D and MS imaging data has a great potential for high-throughput plant phenotyping of structural and biochemical as well as physiological traits simultaneously, which is…