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dc.contributor.authorBollen, Franken
dc.date.accessioned2010-05-21T03:16:37Z
dc.date.issued2001en
dc.identifier.urihttps://hdl.handle.net/10182/1913
dc.description.abstractIn order to address the critical issue of mechanical damage to perishable product, research needs to focus on two areas; 1) the handling system and the typical forces exerted on the produce, and 2) how they respond to these forces. A new method for describing produce damage susceptibility has been developed. This model, based on the logistic function, describes susceptibility in terms of the proportion of a population of product that will sustain damage above some threshold. The attraction of the approach is that the threshold is often commercially defined, as part of a QA programme. The model has been shown to be suitable for apples, but is also applicable for products such as nectarines and potatoes which have a highly variable damage response. The model has been tested against other techniques for describing susceptibility. It has also been used to study the major factors which affect the damage susceptibility for New Zealand apples. A method has been developed to combine the individual fruit impacts recorded using an Impact Recording Device (IRD) with the susceptibility model to predict levels of damage for specific handling events. Technology has also been developed to enable, for the first time, force measurements to be made in situations where compression damage is likely to result. These flat sensors have been trialed in an orchard bin handling evaluation aimed at comparing different bins and tractor mounted forks. These studies have identified various shock events that are the primary causes of damage in bulk handling systems. The thesis also includes discussions on related topics which were studied as part of the overall programme. These include: optimal techniques for estimating the size of an apple bruise, primary influences on damage susceptibility for apples, aspects of the use of the IRD, levels of damage in apple bins and comparisons of bin design.en
dc.language.isoenen
dc.publisherLincoln Universityen
dc.subjectImpact Recording Device (IRD)en
dc.subjectperishable productsen
dc.subjectpostharvest handlingen
dc.subjectpostharvest technologyen
dc.subjectapplesen
dc.subjectfruiten
dc.subjectdamage susceptibilityen
dc.subjectproduct damageen
dc.subjectmodellingen
dc.titleTechniques for predicting damage during postharvest handling of perishable productsen
dc.typeThesis
thesis.degree.grantorLincoln Universityen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen
lu.contributor.unitLincoln Universityen
lu.contributor.unitFaculty of Environment, Society and Designen
lu.contributor.unit/LU/Faculty of Environment, Society and Design/NATRESen
dc.rights.accessRightsDigital thesis can be viewed by current staff and students of Lincoln University only. Print copy available for reading in Lincoln University Library. May be available through inter-library loan.en
pubs.organisational-group/LU
pubs.organisational-group/LU/Faculty of Environment, Society and Design
pubs.organisational-group/LU/Faculty of Environment, Society and Design/NATRES
pubs.publication-statusPublisheden


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