5 citations · 8 across the 4 of their papers we have counts for
5 papers
Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning
Gengming Zhang, Hao Cao, Kewei Hu +4
Accurately identifying lychee-picking points in unstructured orchard environments and obtaining their coordinate locations is critical to the success of lychee-picking robots. Howe…
Exploring Accurate 3D Phenotyping in Greenhouse through Neural Radiance Fields
Junhong Zhao, Wei Ying, Yaoqiang Pan +4
Accurate collection of plant phenotyping is critical to optimising sustainable farming practices in precision agriculture. Traditional phenotyping in controlled laboratory environm…
Pheno-Robot: An Auto-Digital Modelling System for In-Situ Phenotyping in the Field
Yaoqiang Pan, Kewei Hu, Tianhao Liu +2
Accurate reconstruction of plant models for phenotyping analysis is critical for optimising sustainable agricultural practices in precision agriculture. Traditional laboratory-base…
Developing Flying Explorer for Autonomous Digital Modelling in Wild Unknowns
Naizhong Zhang. Yaoqiang Pan, Yangwen Jin, Peiqi Jin +3
This work presents an innovative solution for robotic odometry, path planning and exploration in wild unknown environments, focusing on digital modelling. The approach uses a minim…
High-fidelity 3D Reconstruction of Plants using Neural Radiance Field
Kewei Hu, Ying Wei, Yaoqiang Pan +2
Accurate reconstruction of plant phenotypes plays a key role in optimising sustainable farming practices in the field of Precision Agriculture (PA). Currently, optical sensor-based…