KARAKTERISTIK KEMATANGAN BUAH MELON ‘PREMIER’  (Cucumis melo L.) BERDASARKAN SIFAT AKUSTIK

Pamungkas, Wiyan Afriyanto; Bintoro, Nursigit

doi:10.21107/agrointek.v15i3.9621

Cited by 1 publication

(5 citation statements)

References 15 publications

(19 reference statements)

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“…The low prediction accuracy of TSS levels may be due to the complexity of the relationship between acoustic and attenuation properties in melon fruit. In some studies, acoustic test properties and attenuation also correlate better with firmness rather than TSS [4,8]. Acoustics are influenced by the mechanical properties and physical structure of fruit.…”

Section: Calibration and Prediction Of Physicochemical Propertiesmentioning

confidence: 99%

“…As an indicator of consumer preference, sweetness and flesh texture are measured through the determination of physicochemical properties [3]. In addition to testing quality, physicochemical properties testing is also carried out to determine the right time to harvest melons [4]. Unfortunately, the tests carried out to determine these physicochemical properties are still conducted destructively [4].…”

Section: Introductionmentioning

confidence: 99%

“…In addition to testing quality, physicochemical properties testing is also carried out to determine the right time to harvest melons [4]. Unfortunately, the tests carried out to determine these physicochemical properties are still conducted destructively [4]. This means that the melon fruit used for quality testing and determining the harvest time can no longer be sold and becomes a separate cost.…”

Section: Introductionmentioning

confidence: 99%

“…As for melon fruit, nondestructive fruit quality testing has developed, one of which is through Visible Near-Infrared Spectroscopy to predict moisture content [7]. Other studies have investigated nondestructive testing using acoustic properties to predict melon fruit's hardness and total soluble solids content [4]. In addition, there are other tests using ultrasonic sound waves for melon cut pieces to assess the relationship between physicochemical properties and ultrasound, as well as the possibility of using ultrasonic for melon nondestructive testing [8].…”

Section: Introductionmentioning

confidence: 99%

“…Besides ultrasonics, acoustic properties have also been explored to test the physicochemical quality of melon fruits. In another study, acoustic properties that can be broken down into several variables, namely dominant frequency, magnitude, zero moment power, and short-term energy, are said to have a strong relationship to physicochemical properties consisting of melon flesh firmness and total soluble solids content so that they can be used to determine the time for harvesting [4].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A comparative study of acoustic and ultrasonic nondestructive testing for evaluating melon quality

Khuriyati,

Kasih,

Perdana

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Melon (Cucumis melo L.) is a high-value agricultural commodity known worldwide for its sweet taste and crisp flesh texture, which are important factors for quality and consumer acceptance. Unfortunately, quality testing and determining the optimal harvest time for achieving desired melon characteristics are traditionally performed through destructive methods. The aim of this study was to explore the potential of acoustic and ultrasonic tests for predicting the physicochemical properties of Honey Globe melons (Cucumis melo L. var. inodorus). A total of 100 melon samples were used in this study. For the nondestructive ultrasonic testing, attenuation values served as its variable, whereas in acoustic testing, variables included frequency, magnitude, short-term energy, and zero-moment. Fruit’s flesh firmness and total soluble solids (TSS) as physicochemical quality properties were determined using destructive tests. The calibration phase involved 80 melon samples, employing a K-Fold Cross Validation approach with ten folds, done on Partial Least Square Regression (PLS) modeling. Another 20 melon samples were used for blind testing. Reliability evaluation was done on key metrics, consisting of R2 values, RMSEC (Root Mean Square Error of Calibration), RMSECV (Root Mean Square Error of Cross-Validation), RMSEP (Root Mean Square Error of Prediction), and RPD (Ratio of Performance to Deviation). Analysis results on these metrics collectively support the conclusion that both ultrasonic and acoustic methods exhibit their potential to predict the firmness properties of melon fruits. The best evaluation result that has been conducted for the ultrasonic test uses attenuation, age, and density as predictors to predict fruit firmness, with R2 = 0.763 and RPD = 2.945, while the acoustic test achieved the best result with magnitude used as a predictor to predict fruit firmness with R2 = 0.718 and RPD = 2.230. However, evaluation metrics on the prediction of total soluble solids for both nondestructive tests were still not good enough for application with low R2 and RPD value.

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Section: Calibration and Prediction Of Physicochemical Propertiesmentioning

confidence: 99%