Bridging manual labour and mechanisation: Enhancing blueberry harvesting efficiency for New Zealand’s fresh market

dc.contributor.advisorMcGuinness, Benjamin John
dc.contributor.authorSim, Sheau Lan (Alicia)
dc.date.accessioned2025-01-14T21:20:05Z
dc.date.available2025-01-14T21:20:05Z
dc.date.issued2024
dc.description.abstractThis thesis addresses the challenges of fresh market blueberry harvesting in New Zealand, where rising global demand and labour shortages put pressure on traditional handharvesting methods. Although hand-picking remains the industry norm, it is labourintensive and costly. With global blueberry consumption projected to grow, developing efficient and sustainable harvesting methods is critical, particularly for local growers. The core objective of this research was to develop a human-assisted mechanical harvesting system tailored for tunnel-grown fresh market blueberries. This system utilises lightweight, battery-powered handheld reciprocating shakers and multi-level soft surface catchers designed to reduce harvest damage, minimise ground loss, and improve fruit quality and yield. Performance assessments compared this system to traditional hand harvesting regarding post-harvest quality and harvest rate in field trials across two seasons. The field trials yielded valuable findings. In Field Trial 1.0, the Catcher V1.0 showed promising results, achieving a harvest efficiency of up to 83.7%, slightly less than the 89.3% efficiency of hand-harvesting into buckets. In Field Trial 2.0, the optimised Shaker V2.0 had a harvest rate of 81.3 berries/min, outperforming traditional hand-harvesting into a bucket (71.8 berries/min) and hand-harvesting into Catcher V3.0 (80.3 berries/min). Notably, Catcher V3.0 caused the least berry damage (0.9%), confirming the benefits of its soft surface design. For the Masena cultivar, optimal shaker settings were identified at 899 RPM and a shaking duration of 1.08 seconds, achieving a projected harvest performance score of 81.76%, with detachment accuracy of 93.21% and detachment efficiency of 96.53%. Future research should focus on larger-scale trials, long-term economic analysis, and developing methods to assess bloom retention. The integration of machine vision could further enhance this system, enabling fully automated harvesting, even during nighttime operations. These innovations have the potential to improve efficiency and sustainability for New Zealand’s blueberry industry.
dc.identifier.urihttps://hdl.handle.net/10289/17112
dc.language.isoen
dc.publisherThe University of Waikatoen_NZ
dc.rightsAll items in Research Commons are provided for private study and research purposes and are protected by copyright with all rights reserved unless otherwise indicated.en_NZ
dc.subjectBlueberry harvest
dc.subjectlabour shortage
dc.subjectmechanisation
dc.subjectagriculture
dc.subjecthorticulture
dc.subjectcrop harvesting
dc.subjecttunnel growing
dc.subjectergonomics
dc.subjectlow-cost
dc.subjecthuman assist
dc.subjectlean design
dc.subjectharvest efficiency
dc.subjectharvest performance
dc.subjectautomation
dc.subjectfield trial
dc.subjectharvest rate
dc.subjectground loss
dc.subjectsoft surface catchment
dc.subjectdetachment force
dc.subjectblueberry industry
dc.subjecthand harvest
dc.subjectharvest prototype
dc.subjectartificial blueberry plant
dc.titleBridging manual labour and mechanisation: Enhancing blueberry harvesting efficiency for New Zealand’s fresh market
dc.typeThesisen
dspace.entity.typePublication
pubs.place-of-publicationHamilton, New Zealanden_NZ
thesis.degree.grantorThe University of Waikatoen_NZ
thesis.degree.levelMastersen
thesis.degree.nameMaster of Engineering (ME)

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