4 papers
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…
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…
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…