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dc.contributor.authorSun, Jasonen_NZ
dc.contributor.authorKünnemeyer, Raineren_NZ
dc.contributor.authorMcGlone, Andrewen_NZ
dc.contributor.authorRowe, Philipen_NZ
dc.contributor.authorTalele, Sadhanaen_NZ
dc.coverage.spatialConference held in Auckland, New Zealanden_NZ
dc.date.accessioned2016-01-15T02:11:45Z
dc.date.available2015en_NZ
dc.date.available2016-01-15T02:11:45Z
dc.date.issued2015en_NZ
dc.identifier.citationSun, J., Künnemeyer, R., McGlone, A., Rowe, P., & Talele, S. (2015). Development of a multispectral imaging system for apple firmness prediction. Presented at the 2015 Ninth International Conference on Sensing Technology, Conference held in Auckland, New Zealand.en
dc.identifier.urihttps://hdl.handle.net/10289/9854
dc.description.abstractMultispectral imaging has been studied in recent years as a means of assessing fruit firmness. Here we report on the development of a static multispectral imaging system (MSI) that was used to validate the potential of the technique for high-speed commercial grading. The system consists of a high-performance CMOS camera, four lasers, electronically controlled shutters and a location control system. It captures four spectral scattering images on the fruit. In this study 100 ‘Royal Gala’ apples have been measured using the static MSI. The MSI measurements were applied on the intact apple and also on a flat surface of internal flesh exposed by removing a thick skin slice. The scattering profiles were fitted with a standard light diffusion model and a heuristic modified Lorentzian model. The results showed that the correlations between penetrometer firmness and model parameters were poor, with the correlation coefficient, R, ranging from 0.4 to 0.8 in the best circumstance of the flat surface measurements. Although multivariate models can improve the correlations, this work suggests that laser scattering information on its own is not sufficient to predict the firmness.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.rightsThis is the author’s accept version of an article published in the Proceedings of the Ninth International Conference on Sensing Technology. ©2015 Crown.
dc.source2015 Ninth International Conference on Sensing Technologyen_NZ
dc.titleDevelopment of a multispectral imaging system for apple firmness predictionen_NZ
dc.typeConference Contribution
pubs.begin-page203en_NZ
pubs.elements-id135042
pubs.end-page206en_NZ
pubs.finish-date2015-12-10en_NZ
pubs.publisher-urlhttp://seat.massey.ac.nz/conferences/icst2015/en_NZ
pubs.start-date2015-12-08en_NZ


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