Statistical Modeling of Pomegranate (Punica granatum L.) Fruit with Some Physical Attributes

Abstract

In this study mass and surface area of pomegranate fruit were predicted with using different physical characteristics in linear models classified as follows: (1) Single or multiple variable regressions of pomegranate dimensional characteristics, (2) Single or multiple variable regressions of pomegranate projected areas, (3) Single regression of pomegranate mass based on measured (actual) volume and volumes of shapes assumed (oblate spheroid and ellipsoid). The results showed that in the first classification of single variable mass modeling of pomegranate based on dimension, the highest determining coefficient was obtained as R 2 =0.95 based on geometric mean diameter M = -528 + 10.7 Dg while that was as R 2 =0.96 for multiple variable models. Also, there was a very good relationship between mass and measured volume of pomegranates for the two varieties with R 2 as 0.97 (highest R 2 value among all the models). At least, the models which predict mass of pomegranates based on estimated volume, the shape of pomegranates considered as spheroid and elliptical were found to be the most appropriate models.

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

“…Teoh and Syaifudin (2006) developed an algorithm for mango size grading based on the measured area by image analysis. Mass models for apricot (Naderi-Boldaji, Fattahi, Ghasemi-Varnamkhasti, Tabatabaeefar, & Jannatizadeh, 2008), date fruit (Keramat et al, 2008), pomegranate fruit (Mansouri, Khazaei, Hassan Beygi, & Mohtasebi, 2010), cantaloupe (Seyedabadi et al, 2011), persimmon fruit (Shahbazi & Rahmati, 2014), dried ash gourd (Gade, Meghwal, & Prabhakar, 2020), and ber (Abdel-Sattar et al, 2021) based on their dimensional attributes are reported. Mahawar, Bibwe, Jalgaonkar, and Ghodki (2019) established the relevant mass models for graded and ungraded lots of kinnow mandarin based on the physical attributes.…”

Potential Impacts of Food and it’s Processing on Global Sustainable Health

“…Commodities for reducing child malnutrition should be chosen on the basis of nutritional needs, program circumstances, availability of commodities, and likelihood impact. [85] Traditionally processed indigenous foods: antioxidant properties: The present study evaluated the flavonoid content, antioxidant [74] as well as type II diabetes-related [75] enzyme inhibition activities of ethanolic extract of certain raw and traditionally processed indigenous food ingredients including cereals, legumes, oil seeds, tubers, vegetables and leafy vegetables, which are commonly consumed by vulnerable groups in Kenya. The vegetables exhibited higher flavonoid content (50-703 mg/100 g) when compared with the grains (47-343 mg/100 g).…”

“…Understanding the chemical basis of taste, texture, flavor 4. Understanding the influence of food structure on human physiology and nutrition [85] role of food constituents / food viscosity in energy intake 5. Preservation of original cell structure 6.…”

A Comprehensive Assessment and Perception of Genetically Modified Foods

“…Human health risks a. Unknown effects on human health there is a growing concern that introducing foreign genes [72][73][74] into food [75,76] plants may have an unexpected and negative impact on human health. In recent studies it was found the adverse effects of GM potatoes on the digestive tract in rats i.e., there were appreciable differences in the intestines of rats fed GM potatoes and rats fed unmodified potatoes.…”