Models of Ultrasonic Parameters to Assess Avocado Properties and Shelf Life

Mizrach, A.; Galili, N.; Gan–Mor, S.; Flitsanov, U.; Prigozin, I.

doi:10.1006/jaer.1996.0099

Cited by 44 publications

(21 citation statements)

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“…A transmitter-receiver system for transmission and reception of ultrasonic signals through the fruit peel was used to prove a linear relationship between the ultrasonic signal attenuation and firmness. This correlation was in accord with the result measured in a penetrometer test (Mizrach et al, 1996;Mizrach, 2000). Signaling of the relationship between ultrasonic properties and fruit parameters could be used to indicate fruit ripeness and shelf life.…”

Section: Optical Signals For the Quality Evaluation Of Agricultural Asupporting

confidence: 84%

Carbon dioxide and oxygen gas sensors-possible application for monitoring quality, freshness, and safety of agricultural and food products with emphasis on importance of analytical signals and their transformation

Meng

Kim

Puligundla

et al. 2014

J Korean Soc Appl Biol Chem

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Section: Optical Signals For the Quality Evaluation Of Agricultural Asupporting

confidence: 84%

Carbon dioxide and oxygen gas sensors-possible application for monitoring quality, freshness, and safety of agricultural and food products with emphasis on importance of analytical signals and their transformation

Meng

Kim

Puligundla

et al. 2014

J Korean Soc Appl Biol Chem

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“…BP neural network is a method which has teachers, input P learning samples: x1,x2, ,xp, and its related teachers are: T1,T2, ,Tp. Learning algorithm is to use the error of actual output of network Y1,Y2, ,Yp and teachers T1,T2, Tp to modify the connection of network and threshold, and it should make YP1 be close to de requiring Tp1 in every possible way [10,11].…”

Section: The Methods Of Pattern Recognitionmentioning

confidence: 99%

The Research on Artificial Olfaction System-Electronic Nose

Wang

2006

J. Phys.: Conf. Ser.

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“…It was then possible to establish similar results to those performed in other foods (Mizrach et al 1996(Mizrach et al , 1997. The received signal was analyzed using a process identical to that for the reference signal.…”

Section: Signal Processingmentioning

confidence: 98%

A Noninvasive Method to Identify Larvae in Apples Based on Wavelets

Godínez‐García

Celis-Porras

Guerrero-Rivera

et al. 2010

Food Bioprocess Technol

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Foodstuffs often experience great damage as a result of various forms of infestation or plague. A very common plague is a form of larval infestation that attacks several fruits, including apples. A novel method to identify larval infestations in apples is introduced. This noninvasive method is based on the use of ultrasonic waves, wavelets, and statistical analysis. A wavelet algorithm was preferred over other techniques because it allows a better description of the ultrasonic signal received from the fruit. A total of 998 red delicious apples were sampled, of which, 291 apples were infested by Cydia pomonella. All samples were scanned using ultrasonic waves, and reflecting signals were analyzed with wavelets to determine whether the fruit was intact or infested by larva. The experiments were validated using normality tests and analysis of variance and corroborated by comparing the results with the physical evidence in the specimens. The results show that the signal is attenuated at the center of the apple, which means that the density inside the apple changes as a result of the presence of larva. In addition, the proposed method effectively detected (p<0.01) the presence of larva within the fruit in real time.

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Models of Ultrasonic Parameters to Assess Avocado Properties and Shelf Life

Cited by 44 publications

References 0 publications

Carbon dioxide and oxygen gas sensors-possible application for monitoring quality, freshness, and safety of agricultural and food products with emphasis on importance of analytical signals and their transformation

Carbon dioxide and oxygen gas sensors-possible application for monitoring quality, freshness, and safety of agricultural and food products with emphasis on importance of analytical signals and their transformation

The Research on Artificial Olfaction System-Electronic Nose

A Noninvasive Method to Identify Larvae in Apples Based on Wavelets

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