Watermelon sorting process by frequency identification and artificial neural network

Name: Komsan Wongkalasin.

Organization : Nakhon Phanom University. Faculty of Engineering

Name: Teerapon Upachaban.

Organization : Nakhon Phanom University. Faculty of Engineering

Name: Wacharawish Daosawang.

Organization : Udon Thani Rajabhat University. Faculty of Technology

Name: Nattadon Pannucharoenwong.

Organization : Thammasat University. Thammasat School of Engineering

Email : pnattado@engr.tu.ac.th

Name: Phadungsak Ratanadecho.

Organization : Thammasat University. Thammasat School of Engineering

keyword: Watermelon ripeness.

LCSH: FRUIT -- QUALITY.

; Acoustic vibration.

LCSH: WATERMELON -- GRADING.

; Fast Fourier Transform.

LCSH: NEURAL NETWORKS (COMPUTER SCIENCE)

Abstract: This research aims to enhance the watermelon’s quality selection process, which was traditionally conducted by knocking the watermelon fruit and sort out by the sound’s character. The proposed method in this research is generating the sound spectrum through the watermelon and then analyzes the response signal’s frequency and the amplitude by Fast Fourier Transform (FFT). Then the obtained data were used to train and verify the neural network processor. The result shows that, the frequencies of 129 and 172 Hz were suit to be used in the comparison. Thirty watermelons, which were randomly selected from the orchard, were used to create a data set, and then were cut to manually check and match to the fruits’ quality. The 129 Hz frequency gave the response ranging from 13.57 and above in 3 groups of watermelons quality, including, not fully ripened, fully ripened, and close to rotten watermelons. When the 172 Hz gave the response between 11.11–12.72 in not fully ripened watermelons and those of 13.00 or more in the group of close to rotten and hollow watermelons. The response was then used as a training condition for the artificial neural network processor of the sorting machine prototype. The verification results provided a reasonable prediction of the ripeness level of watermelon and can be used as a pilot prototype to improve the efficiency of the tools to obtain a modern-watermelon quality selection tool, which could enhance the competitiveness of the local farmers on the product quality control. "

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2023

Modified: 2022-10-31

Issued: 2022-10-31

บทความ/Article

application/pdf

BibliograpyCitation : APPLIED SCIENCE AND ENGINEERING PROGRESS. vol. 16, no. 1 (Jan.-Mar. 2023), p. 1-10.

eng

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