activity
20192023
most citedFruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards

226 citations · 878 across the 10 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2023★ 87 cited

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…

cs.CV2022★ 74 cited

Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards

Hanwen Kang, Xing Wang

Semantic segmentation is a fundamental task for agricultural robots to understand the surrounding environments in natural orchards. The recent development of the LiDAR techniques e…

cs.CV2020★ 139 cited

Real-Time Fruit Recognition and Grasping Estimation for Autonomous Apple Harvesting

Hanwen Kang, Chao Chen

In this research, a fully neural network based visual perception framework for autonomous apple harvesting is proposed. The proposed framework includes a multi-function neural netw…

cs.CV2019★ 103 cited

Visual Perception and Modelling in Unstructured Orchard for Apple Harvesting Robots

Hanwen Kang, Chao Chen

Vision perception and modelling are the essential tasks of robotic harvesting in the unstructured orchard. This paper develops a framework of visual perception and modelling for ro…

cs.CV2019★ 226 cited

Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards

Hanwen Kang, Chao Chen

Robotic harvesting of fruits in orchards is a challenging task, since high density and overlapping of fruits and branches can heavily impact the success rate of robotic harvesting.…