Construction and Evaluation of Intelligent Acoustic System for Real-Time Grading of Almonds

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RESHADSEDGHI A.; MAHMOUDI A.; AZIMIRAD V.; HAJILOU J.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Agricultural Mechanization and Systems Research Year:2016 | Volume:16 | Issue:65 Page(s): 31-46

Download Full-Text

Persian Verion

View:

469

Download:

Cites:

Information Journal Paper

Title

Construction and Evaluation of Intelligent Acoustic System for Real-Time Grading of Almonds

Author(s)

RESHADSEDGHI A. | MAHMOUDI A. | AZIMIRAD V. | HAJILOU J. | Issue Writer Certificate

Keywords

Acoustic

Almond

Artificial Neural Network

Grading System

Abstract

This study was conducted to achieve effective and low-cost technology for non-destructive grading of unshelled Almonds in real time. A laboratory prototype of an intelligent online impact-Acoustic system composed of a feeding unit, Acoustical recognition unit, and pneumatic separator with an electronic controller unit was constructed and tested. To evaluate system operation according to Almond variety and class (hard, semi-soft, and soft), the effect of an Acoustic signal generated by dropping the nuts onto a steel plate was captured by microphone and the amplitude, phase, and power spectral density were extracted from analysis of the sound signal in the time and frequency domains by means of fast Fourier transform. A multilayer perceptron neural network with a LM training function were used in all experiments. The classification accuracy using validation data was about 96. 2% in the offline mode, but accuracy decreased to 88% in the online mode. This decrease in accuracy was probably the result of a difference in size and mass of the Almond samples in the hard and semi-soft classes.

Cites

No record.

References

No record.

Cite

APA: Copy

RESHADSEDGHI, A., MAHMOUDI, A., AZIMIRAD, V., & HAJILOU, J.. (2016). Construction and Evaluation of Intelligent Acoustic System for Real-Time Grading of Almonds. AGRICULTURAL MECHANIZATION AND SYSTEMS RESEARCH (JOURNAL OF AGRICULTURAL ENGINEERING RESEARCH), 16(65 ), 31-46. SID. https://sid.ir/paper/267935/en

Vancouver: Copy

RESHADSEDGHI A., MAHMOUDI A., AZIMIRAD V., HAJILOU J.. Construction and Evaluation of Intelligent Acoustic System for Real-Time Grading of Almonds. AGRICULTURAL MECHANIZATION AND SYSTEMS RESEARCH (JOURNAL OF AGRICULTURAL ENGINEERING RESEARCH)[Internet]. 2016;16(65 ):31-46. Available from: https://sid.ir/paper/267935/en

IEEE: Copy

A. RESHADSEDGHI, A. MAHMOUDI, V. AZIMIRAD, and J. HAJILOU, “Construction and Evaluation of Intelligent Acoustic System for Real-Time Grading of Almonds,” AGRICULTURAL MECHANIZATION AND SYSTEMS RESEARCH (JOURNAL OF AGRICULTURAL ENGINEERING RESEARCH), vol. 16, no. 65 , pp. 31–46, 2016, [Online]. Available: https://sid.ir/paper/267935/en

Related Journal Papers