Models for predicting the mass of apricot fruits by geometrical attributes (cv. Shams, Nakhjavan, and Jahangiri)

Naderi-Boldaji, Mojtaba; Fattahi, Reza; Ghasemi-Varnamkhasti, Mahdi; Tabatabaeefar, A.; Jannatizadeh, Abbasali

doi:10.1016/j.scienta.2008.06.025

Cited by 32 publications

(22 citation statements)

References 7 publications

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“…Khoshnam et al (2007) recommended M = 0.96 V + 4.25 for predicting the mass of pomegranate by measured volume using WDM. The mass model of overall apricots based on measured volume (WDM) was given as a linear form of M = 0.997 V + 0.301 (Naderi-Boldajia et al, 2008) …”

Section: Estimation Of the Mass Of Citrus Fruitsmentioning

confidence: 99%

“…For example, fruits are often graded by size, but it may be more economical to develop a machine vision system which grades by weight or volume. Simple model equations to estimate the mass of various agricultural products such as apple, pomegranate, and apricot are available (Tabatabaeefar and Rajabipour, 2005;Khoshnam et al, 2007;Naderi-Boldajia et al, 2008). However, measuring dimensions using a digital caliper is subject to human error and may not be an efficient and practical approach to estimate volume, particularly in sorting large quantities of agricultural products indoors or in monitoring yield during harvesting.…”

Section: Introductionmentioning

confidence: 99%

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Estimating volume and mass of citrus fruits by image processing technique

Omid

Khojastehnazhand

Tabatabaeefar

2010

Journal of Food Engineering

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141

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Section: Estimation Of the Mass Of Citrus Fruitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimating volume and mass of citrus fruits by image processing technique

Omid

Khojastehnazhand

Tabatabaeefar

2010

Journal of Food Engineering

Self Cite

141

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“…Quality and standard inspections are also implemented by using weight estimations (Vivek Venkatesh et al, 2015). Various approached were developed to estimate the weights of apricots (Naderi-Boldaji et al, 2008), citrus fruits (Omid et al, 2010), tangerines (Rashidi and Keshavarzpour, 2011), bananas (Soares et al, 2013), mangos (Schulze et al, 2015). Tabatabaeefar et al (2000) measured the size-attributes of oranges with a micrometer and ∆T area-meter and developed a model to estimate the fruit weights from dimensional characteristics.…”

Section: Measurement and Calculation Of Seed Parametersmentioning

confidence: 99%

Estimation of the Weights of Almond Nuts Based on Physical Properties through Data Mining

Gürbüz

Demır

Eski

et al. 2018

Not Bot Horti Agrobo

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Quality attributes are the major parameters designating market values of the agricultural goods and commodities. Several practices are applied to improve quality parameters of the fruits and vegetables. Such quality attributes should also be estimated through various approaches before to design of equipment and tools used in handling and processing of these goods and to design storage facilities. Data mining is a novel approach used to estimate various attributes or quality parameters of the fruits from previously measured attributes. Different algorithms embedded into data mining operations may yield quite accurate and reliable equations for estimation of quality attributes. Almond is a significant cash crop for growers. Since almond is quite tolerant to droughts and salinity, it is preferred in various parts of the country by producers. Weight is the primary quality parameter designating market value of the almonds. This study was conducted to estimate nut weights of seven different almond varieties and to develop an equation for the estimation of nut weights. Data mining approach was used to estimate nut weights from physical fruit quality attributes (kernel length, width, thickness, arithmetic mean diameter, geometric mean diameter, sphericity, surface area, volume, shape index and aspect ratio). Present findings revealed quite significant, accurate and practicable rules to estimate the nut weights of different almond varieties. It was concluded that data mining could be used as a reliable tool to estimate the nut weights of different almond varieties from the physical attributes of the fruits.

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“…Against this background, it is currently attempted to use hydrodynamic properties to reach these objectives. Several studies have been conducted in this regard on different products such as tomato, apple, Armenian plum, orange, persimmon, Kohnoz apple (Hasanpour Kahnamuyi, Ghaffari, & Marghoub, ; Kheiralipour et al, ; Lak, ; Naderi‐Boldaji, Fattahi, Ghasemi‐Varnamkhasti, Tabatabaeefar, & Jannatizadeh, ; Taheri Garavand, Rafiee, Keyhani, & Mirzaee, ). In general, in hydraulic handling, the fluid current around a product applies a force on it.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of hydrodynamic properties of lime (Mexican lime)

Rozbahani

Movahhed

Chenarbon

2019

J Food Process Engineering

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Grading and hydraulic handling of fruits and vegetables are important subjects of study in industries to maintain their quality and reduce their losses. It is thus essential to have knowledge of hydrodynamic properties of agricultural products for sorting, grading, washing, packaging, and storage purposes. This study first determined the physical properties (i.e., mass, density, volume and shape coefficient) influencing terminal and other hydrodynamic properties of Mexican lime (locally known as Jahromi lime). Then, a water column and a video camera were used to measure the terminal velocity and falling time of the samples. The effect of physical properties determined, and the difference between water and lime densities on the hydraulic properties were analyzed in MATLAB. The results show that Mexican lime samples reached their terminal velocity in 2.5 s when the terminal velocity and the falling time were 0.08 m/s and 6.5 s, respectively. The water–lime density difference, volume, and the sample mass had the significant effect (p < 0.05) on the terminal velocity and falling time. However, the shape coefficient had no significant effect. Practical applications Fruits with different densities fall to different depths at a given time, and a properly situated separator can be used for grading them. This research prospect the use of Mexican lime terminal velocity as a parameter for density‐based hydraulic grading to be used in the design and development processes of fruit sorting and grading systems, and regression equations of sample movement were fitted based on their physical properties to find the best model.

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Models for predicting the mass of apricot fruits by geometrical attributes (cv. Shams, Nakhjavan, and Jahangiri)

Cited by 32 publications

References 7 publications

Estimating volume and mass of citrus fruits by image processing technique

Estimating volume and mass of citrus fruits by image processing technique

Estimation of the Weights of Almond Nuts Based on Physical Properties through Data Mining

Mathematical modeling of hydrodynamic properties of lime (Mexican lime)

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