Mass modelling of pepper berries (Piper nigrum L.) with some physical properties

R. Shamsudin, . and P. N. M. A. Azman, . and H. Che Man, . and M. E. Ya’acob, . Mass modelling of pepper berries (Piper nigrum L.) with some physical properties. pp. 80-84. ISSN 2550-2166

The determination of correlations between mass with its physical properties such as dimensions volume and projected area is crucial in the design and development of some post-harvest processing. In this study the physical properties were measured and the mass of Kuching pepper berries variety was predicted in four models including Linear Quadratic S-curve and Power. Thus the study was aimed to determine the most applicable model for predicting pepper berry mass with their physical properties and determine some physical properties of pepper berries to form essential and useful information. The results showed that mass modelling based on the actual volume of pepper berries was more applicable compared to other properties with the highest determination coefficient 0.995 at 1 probability level. From the economic standpoint predicting mass based on actual volume as Quadratic form: M 0.828 - 0.015X 7.376 x 10�� X is recommended. This study can be applied for improvement in handling and packaging system in future.

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Abstract

The determination of correlations between mass with its physical properties such as dimensions volume and projected area is crucial in the design and development of some post-harvest processing. In this study the physical properties were measured and the mass of Kuching pepper berries variety was predicted in four models including Linear Quadratic S-curve and Power. Thus the study was aimed to determine the most applicable model for predicting pepper berry mass with their physical properties and determine some physical properties of pepper berries to form essential and useful information. The results showed that mass modelling based on the actual volume of pepper berries was more applicable compared to other properties with the highest determination coefficient 0.995 at 1 probability level. From the economic standpoint predicting mass based on actual volume as Quadratic form: M 0.828 - 0.015X 7.376 x 10�� X is recommended. This study can be applied for improvement in handling and packaging system in future.

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Item Type:	Article
AGROVOC Term:	Black pepper
AGROVOC Term:	Piper nigrum
AGROVOC Term:	Prediction
AGROVOC Term:	Spice crops
AGROVOC Term:	Sampling
AGROVOC Term:	Regression analysis
AGROVOC Term:	Statistical analysis
AGROVOC Term:	Data analysis
AGROVOC Term:	Physical properties
AGROVOC Term:	Agricultural products
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:55
URI:	http://webagris.upm.edu.my/id/eprint/10555

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