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Reason: Under embargo until 31 July 2023. After this date a copy can be supplied under Section 51(2) of the Australian Copyright Act 1968 by submitting a document delivery request through your library.

Development of A Deep Learning Based Machine Vision System for Occluded 2D Fruit Trees

thesis
posted on 2022-07-08, 01:59 authored by ZIJUE CHEN

Orchard automation, like automatic thinning and harvesting, requires robots understand the tree structure coherently. In this work, a vision system is developed for agricultural robot to detect tree branches under natural occlusions like leaves and fruits. Experiments illustrates the proposed vision system can detect complete branch with no noise.

History

Campus location

Australia

Principal supervisor

Chao Chen

Additional supervisor 1

Yeonuk Kim

Year of Award

2022

Department, School or Centre

Mechanical and Aerospace Engineering

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering