Recent Methods and Techniques of External Grading Systems for Agricultural Crops Quality Inspection - Review

Alfatni, Meftah Salem M.; Shariff, Abdul Rashid Mohamed; Abdullah, Mohd Zaid; Saeed, Osama Mohamed Ben; Ceesay, Omar M.

doi:10.2202/1556-3758.1932

Cited by 20 publications

(7 citation statements)

References 44 publications

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“…There are many techniques used in color features and among the popular features are color moment [12], [36], [32] and color histogram [2], [22]. A high number of accuracy has been achieved using color moment on palm oil FFB recognition [36].…”

Section: A) Feature Extractionmentioning

confidence: 99%

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Evaluation of Color Models for Palm Oil Fresh Fruit Bunch Ripeness Classification

Sabri¹,

İbrahim²,

Isa³

2018

IJEECS

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This paper investigates the application of eight color models for automatic palm oil Fresh Fruit Bunch (FFB) ripeness classification with multi-class Support Vector Machine (SVM). Ripeness classification is important during harvesting to ensure that they are harvested during the correct ripe stage for optimum oil production. Since color is a significant indicator for agriculturists to determine the ripeness of FFB, it is critical to determine the right color model. Eight color models have been investigated namely, HSV, I1I2I3, LAB, XYZ, YCbCr, YIQ, YUV and RGB. Color moments were extracted from each of these color models for the classification of four stages of FFB ripeness that are unripe, under-ripe, ripe and over-ripe. A database of five hundred images of palm oil FFB has been constructed and experiments showed that YCbCr and YUV outperform the other color models.

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Section: A) Feature Extractionmentioning

confidence: 99%

“…However, this result varies due to the application of different classifiers. It has also been used to reduce the image size or processing time of RGB color model for grading an image of agricultural product indoor and outdoor environment [32].…”

mentioning

confidence: 99%

Evaluation of Color Models for Palm Oil Fresh Fruit Bunch Ripeness Classification

Sabri¹,

İbrahim²,

Isa³

2018

IJEECS

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“…The quality assessment of horticultural products is usually carried out by human inspection (Syahrir et al, 2009), which involves a high degree of subjectivity due to psychological factors (Zheng et al, 2006), as there are certain limitations inherent in our visual perception (Gunasekaran & Ding, 1994), visual stress and tiredness. Due to the high growth experienced in electronics, computers, automated systems and machine vision, and the high degree of utilisation of these technologies in society, it is possible to make an intelligent control system that meets all the requirements for classification of fruits and vegetables (Singh et al, 1993), and achieves greater precision and objectivity in the measurement of quality (Alfatni et al, 2011). Today, these techniques are already used in a variety of food industry sectors such as bakery, meat processing, production of ready meals (Sebestyen et al, 2008).…”

Section: Selection Criteriamentioning

confidence: 99%

High speed intelligent classifier of tomatoes by colour, size and weight

Clement¹,

Novas²,

Gázquez³

et al. 2012

Span. j. agric. res.

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At present most horticultural products are classified and marketed according to quality standards, which provide a common language for growers, packers, buyers and consumers. The standardisation of both product and packaging enables greater speed and efficiency in management and marketing. Of all the vegetables grown in greenhouses, tomatoes are predominant in both surface area and tons produced. This paper will present the development and evaluation of a low investment classification system of tomatoes with these objectives: to put it at the service of producing farms and to classify for trading standards. An intelligent classifier of tomatoes has been developed by weight, diameter and colour. This system has optimised the necessary algorithms for data processing in the case of tomatoes, so that productivity is greatly increased, with the use of less expensive and lower performance electronics. The prototype is able to achieve very high speed classification, 12.5 ratings per second, using accessible and low cost commercial equipment for this. It decreases fourfold the manual sorting time and is not sen sitive to the variety of tomato classified. This system facilitates the processes of standardisation and quality control, increases the competitiveness of tomato farms and impacts positively on profitability. The automatic classification system described in this work represents a contribution from the economic point of view, as it is profitable for a farm in the short term (less than six months), while the existing systems, can only be used in large trading centers.Additional key words: artificial vision; low cost; Solanum lycopersicum; trading. Resumen Clasificadora inteligente de tomates de alta velocidad por color, tamaño y pesoEn la actualidad la mayoría de los productos hortofrutícolas son clasificados y comercializados según unos estándares de calidad, que proporcionan un lenguaje común para productores, empacadores, compradores y consumidores. De todas las hortalizas cultivadas en invernadero, el tomate es el que más presencia tiene en superficie y toneladas producidas. En este trabajo se desarrolla y evalúa un sistema de clasificación de tomates de bajo coste con dos objetivos: que sirva a los productores de tomate y que sea capaz de clasificar según los estándares establecidos. En este trabajo se desarrolla un clasificador inteligente de tomates según su peso, diámetro y color. Este sistema optimiza los algoritmos de análisis para el caso específico del tomate, con la ventaja del uso de electrónica de bajo coste. El prototipo es capaz de conseguir la clasificación a velocidad muy elevada, 12.5 clasificaciones por segundo, y utilizando para ello equipos comerciales accesibles y de bajo coste. Se consigue disminuir 4 veces el tiempo de la clasificación manual y no es sensible a la variedad de tomate clasificado. Este sistema facilita los procesos de estandarización y control de calidad, permitiendo aumentar la competitividad de las explotaciones agrícolas de tomate, repercutiendo positivamente en s...

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“…With the increasing interest in food products embedded in social and ethical attributes [7], businesses are driven to implement corporate social responsibility (CSR) practices to improve the quality of their products and maintain their sustainability [8,9]. Considering the hidden nature of agri-products, consumers are unable to visually assess their quality [10]. Consequently, addressing the marketing dilemma of mainland China's quality agri-products through CSR practices has become the key to promoting sustainable agricultural marketing practices.…”

Section: Introductionmentioning

confidence: 99%

Does Price Matter in Mainland China? Examine the Factors Influencing Broiler Chicken Purchase Intention

Jiang

Ning

et al. 2023

Sustainability

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Sustainable marketing emphasizes how businesses convey the concept of sustainability to consumers through marketing techniques. Previous research has focused on identifying the drivers that influence consumers’ purchase intentions for agricultural products. However, there is a lack of research on the quality of the messages that firms convey to consumers from a pricing perspective. To fill this gap, this study builds on the hedonic pricing theory using structural equation modeling to develop a formative model that enables the identification of the determinants that influence the market price of the broiler chicken industry in mainland China. By analyzing the information on 486 raw whole chicken samples in China, the results indicate that the basic, responsible production, and quality assurance attributes of broilers have a substantial effect on their selling price, whereas the marketing message attributes do not. The results of this study are enlightening for producers and marketers of agricultural products who are developing pricing strategies. This study raises important questions about the pricing of agricultural products in sustainable marketing practices, particularly in emerging economies, and suggests avenues for future research conducted in this area.

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Recent Methods and Techniques of External Grading Systems for Agricultural Crops Quality Inspection - Review

Cited by 20 publications

References 44 publications

Evaluation of Color Models for Palm Oil Fresh Fruit Bunch Ripeness Classification

Evaluation of Color Models for Palm Oil Fresh Fruit Bunch Ripeness Classification

High speed intelligent classifier of tomatoes by colour, size and weight

Does Price Matter in Mainland China? Examine the Factors Influencing Broiler Chicken Purchase Intention

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