Predicting physicochemical properties of melon (Cucumis melo L.) using ultrasonic technology and artificial neural network
Fahar Yazid Izdihar,
Nafis Khuriyati,
Wagiman
Abstract:As one of the favorite fruits widely produced and consumed in Indonesia, quality testing for melon (Cucumis melo L.) fruit is mostly done using destructive testing. To overcome this problem, this study aims to predict physicochemical quality properties of melon fruit non-destructively using ultrasonic and artificial neural network (ANN). Fifty-nine Hami melons were tested to measure the attenuation value of ultrasonic wave emission as a non-destructive variable, along with density and age. Then, destructive te… Show more
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