Mass modeling of caper (Capparis spinosa) with some engineering properties

Abstract

Nomenclature M = fruit mass, g; V = fruit Volume, cm 3 ; Dg = geometric mean diameter, mm; S = surface area, mm 2 ; L = length of fruits, mm; W = width of fruit, mm; T = thickness of fruit, mm; PA1 = first projected area which perpendicular to L direction, mm 2 ; PA2 = second projected area which perpendicular to W direction, mm 2 ; PA3 = third projected area which perpendicular to T direction, mm 2 ; CPA = criteria projected area, mm 2 ; SD = standard deviation; b0, b1, b2 = curve fitting parameters; X = independent parameter. AbstractIntroduction Horticultural crops used as food with a similar weight and uniform shape are in high demand in terms of marketing value. Objectives Therefore, an awareness of methods for grading fruits and vegetables based on weight is crucial. A part of this research was aimed at presenting some physical properties of caper. Methods In addition, in this study, the mass of caper was predicted using different physical characteristics in four models that include linear, quadratic, S-curve and power. Results According to the results, all properties considered in the current study were found to be statistically significant at the 1% probability level for the best and the worst models for prediction; the mass of caper was based on volume and second projected area of the caper with determination coefficients of 0.984 and 0.323, respectively. Conclusion Mass model based on first projected area from an economical standpoint is recommended.

Mass modeling of guava (cv. Allahabad safeda) fruit with selected dimensional attributes: Regression analysis approach

“…In comparison, the indirect method involves predicting fruit weight from dimensional attributes using a model/equation (Jahns, Nielsen, & Wolfgang, 2001). Mass grading had been proven efficient and economical for grading of agricultural commodities than size based grading (Lorestani, Jaliliantabar, & Gholami, 2012) and thus, a similar correlation between mass and physical properties of guava fruits to be analyzed to encourage their efficient processing. Development of grading techniques with a combined approach of size, shape, color, or volume with their mass will be more economical and accurate as it can reduce expenses toward packaging and transportation.…”

Mass modeling of kinnow mandarin based on some physical attributes

“…In the past, various effective and accurate grading systems are developed based on recent advancement in automated sorting strategies; thus, eliminating human interference (Kleynen, Leemans, & Destain, ). Lorestani, Jaliliantabar, and Gholami () also highlighted the importance of the grading by fruit mass as it was more economical than the grading based on fruit size. Grading based on the fruit mass can be accomplished by either direct weighing which is time‐consuming or by applying appropriate models based on other fruit characteristics.…”

Mass Modeling of Common Medlar (Mespilus germanica) Fruit with Some Physical Characteristics

“…The 100 samples of the Medlars were tested in the Biophysical laboratory and Biological laboratory of Razi University of Kermanshah, Iran. The samples were weighted and dried in an oven at 105˚C for 24 h (Lorestani, et al, 2012) and then weight loss on drying to final content weight was recorded as moisture content. The remaining material was kept in the desiccator until use.…”

“…On the other hand, volume and its relationship with packing coefficient are very important because having any information about Packing coefficient of fruits could result in efficient control of fruit quality during storage. Physical characteristics of agricultural products are the most important parameters to determine the proper standards of design of grading, conveying, processing and packaging systems (Tabatabaeefar and Rajabipour, 2005;Lorestani, et al, 2012). Among these physical characteristics, mass, volume, projected area are the most important ones in determining sizing systems (Peleg and Ramraz, 1975).…”