In orchard 3D sensing for crop identification and localization in a virtual environment : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in School of Engineering at Massey University, Palmerston North, New Zealand. EMBARGOED until 28th May 2026

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dc.contributor.authorMaurer, Brett
dc.date.accessioned2024-10-16T20:50:46Z
dc.date.available2024-10-16T20:50:46Z
dc.date.issued2024
dc.descriptionEmbargoed until 28th May 2026 Copyright holders of any copyrighted images may use the Copyright Take Down Button below to request their removal.en
dc.description.abstractDue to recent events of the global pandemic, as well as decreasing labour available in the agricultural sector in New Zealand, there has been an overall labour shortage in this multi-million dollar industry. With the advancement and accessibility of new technologies, this is an industry in which these can be applied effectively to increase efficiency and potentially be done remotely. This can be a key benefit for the industry, as it would help avoid labour shortages with the ability to undertake some orchard work remotely, as well as providing job opportunities to those who may not normally be able to undertake this sort of physical work. Another resulting benefit in having the ability to potentially work remotely means that the need for travel to and around the orchard is decreased, which would also have sustainability benefits. One such technology that has been looked at, with developments being made over the recent years is robotic harvesting. A key element in this process is the remote sensing and vision systems used to identify, and subsequently localise, the targeted crop to be harvested. Currently, most of the research that has been done in this area has been using expensive, high precision 3D scanning tools. However, with the advancement in this area of technology, cheaper and more practical alternatives may be suitable for the application. The primary focus of this project was to evaluate and quantify the accuracy and therefore suitability of multiple remote sensing systems to be used in an orchard en vironment. For this project, consumer grade RGBD(Red, Green, Blue, Depth)camera systems were used to identify and localise apples, with the resulting depth and image data being interacted with in a virtual reality environment in the form of point clouds ii as well as mesh bodies, in order to identify and localise the apples in 3D space in a virtual environment.--Shortened abstract.en
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71741
dc.language.isoen
dc.publisherMassey University
dc.rightsThe authoren
dc.titleIn orchard 3D sensing for crop identification and localization in a virtual environment : a thesis presented in partial fulfilment of the requirements for the degree of Master of Engineering in School of Engineering at Massey University, Palmerston North, New Zealand. EMBARGOED until 28th May 2026en
dc.typeThesis
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