Recognition of color changes in strawberry juice powders using self-organizing feature map

Przybył, Krzysztof; Gawałek, Jolanta; Gierz, Łukasz; Łukomski, Mateusz; Zaborowicz, Maciej; Boniecki, P.

doi:10.1117/12.2503101

Cited by 6 publications

(1 citation statement)

References 47 publications

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“…Appearance is the first factor that consumers focus on when they are deciding whether to accept or reject a product and, among this, color is the main appearance characteristic that is assessed. The color of a food product has, historically, provided information about other food qualities or even the safety of a certain food [10][11][12]. Flavor and color are important factors in evaluating fruits.…”

Section: Introductionmentioning

confidence: 99%

Predicting Fruit’s Sweetness Using Artificial Intelligence—Case Study: Orange

et al. 2022

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The manual classification of oranges according to their ripeness or flavor takes a long time; furthermore, the classification of ripeness or sweetness by the intensity of the fruit’s color is not uniform between fruit varieties. Sweetness and color are important factors in evaluating the fruits, the fruit’s color may affect the perception of its sweetness. This article aims to study the possibility of predicting the sweetness of orange fruits based on artificial intelligence technology by studying the relationship between the RGB values of orange fruits and the sweetness of those fruits by using the Orange data mining tool. The experiment has applied machine learning algorithms to an orange fruit image dataset and performed a comparative study of the algorithms in order to determine which algorithm has the highest prediction accuracy. The results showed that the value of the red color has a greater effect than the green and blue colors in predicting the sweetness of orange fruits, as there is a direct relationship between the value of the red color and the level of sweetness. In addition, the logistic regression model algorithm gave the highest degree of accuracy in predicting sweetness.

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Section: Introductionmentioning

confidence: 99%

Predicting Fruit’s Sweetness Using Artificial Intelligence—Case Study: Orange

et al. 2022

Self Cite

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Artificial neural networks in the evaluation of the influence of the type and content of carrier on selected quality parameters of spray dried raspberry powders

et al. 2021

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Analysis of the usability of rolling resistance measurement methods to study the mechanisms of some wheelchairs

Warguła

Kukla

Yurchenko

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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Reducing the driving force when propelling a wheelchair, e.g. through mechanical gears, is beneficial for people using wheelchairs. This makes it possible to overcome terrain obstacles that would be otherwise impassable with a classic drive system. However, the disadvantage of additional mechanisms supporting the propulsion of the wheelchair is usually the additional mass, ultimately increasing the rolling resistance. The article presents methods of measuring the rolling resistance – widely developed in the automotive industry – in terms of measuring the rolling resistance of wheelchairs. Innovative methods have been demonstrated to measure the rolling resistance on various surfaces and with the use of various drive mechanisms. The developed methods also enable the determination of the rolling resistance coefficient. The methods used are innovative and are subject to patent protection prepared by the authors in recent years. The results of the respondents allow to compare the measurement accuracy of the developed methods and show that the second method (being a simplification of the first method) is characterized by better accuracy.

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Recognition of color changes in strawberry juice powders using self-organizing feature map

Cited by 6 publications

References 47 publications

Predicting Fruit’s Sweetness Using Artificial Intelligence—Case Study: Orange

Predicting Fruit’s Sweetness Using Artificial Intelligence—Case Study: Orange

Artificial neural networks in the evaluation of the influence of the type and content of carrier on selected quality parameters of spray dried raspberry powders

Analysis of the usability of rolling resistance measurement methods to study the mechanisms of some wheelchairs

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