Modeling physical properties of lemon fruits for separation and classification

Miraei Ashtiani S. H., . and Baradaran Motie J., . and Abbaspour-Fard M. H., . and Emadi B., . Modeling physical properties of lemon fruits for separation and classification. pp. 1901-1909. ISSN 22317546

Getting the relationship between physical properties of fruits and their mass can create tremendous change in the packaging industry. A part of this study was aimed to present some physical traits of two lemon varieties (Seedless Lisbon and Frost Eureka) which are very similar in appearance but different in interior quality. In addition lemon mass was predicted by different physical characteristics with linear and nonlinear models as three different classifications: (1) single and multiple variable regressions of lemon dimensions (2) single and multiple variable regressions of projected areas and (3) single regression of lemon mass based on its actual volume and calculated volume assuming the lemon shapes of ellipsoid and prolate spheroid. According to the obtained results many attributes considered in the current study were found to be statistically significant (P 0.01). In economical and agronomical points of view suitable sizing system of lemon mass was ascertained based on third projected area. At last the obtained results and regression models showed that separation can be promised for these two varieties. Among different models two mass based models in linear form showed the highest separation performance. The first model was based on mass-volume and the second one based on mass-major dimension.

Full text available from: Official URL: http://ifrj.upm.edu.my/21%20(05)%202014/26%20IFRJ%...

Abstract

Getting the relationship between physical properties of fruits and their mass can create tremendous change in the packaging industry. A part of this study was aimed to present some physical traits of two lemon varieties (Seedless Lisbon and Frost Eureka) which are very similar in appearance but different in interior quality. In addition lemon mass was predicted by different physical characteristics with linear and nonlinear models as three different classifications: (1) single and multiple variable regressions of lemon dimensions (2) single and multiple variable regressions of projected areas and (3) single regression of lemon mass based on its actual volume and calculated volume assuming the lemon shapes of ellipsoid and prolate spheroid. According to the obtained results many attributes considered in the current study were found to be statistically significant (P 0.01). In economical and agronomical points of view suitable sizing system of lemon mass was ascertained based on third projected area. At last the obtained results and regression models showed that separation can be promised for these two varieties. Among different models two mass based models in linear form showed the highest separation performance. The first model was based on mass-volume and the second one based on mass-major dimension.

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Item Type:	Article
AGROVOC Term:	Engineering properties
AGROVOC Term:	Grading
AGROVOC Term:	Lemons
AGROVOC Term:	Mass
AGROVOC Term:	Packing (process)
Depositing User:	Ms. Suzila Mohamad Kasim
Last Modified:	24 Apr 2025 06:27
URI:	http://webagris.upm.edu.my/id/eprint/21862

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