DOI: https://doi.org/10.14710/jtsiskom.2020.13744

Watermelon ripeness detector using near infrared spectroscopy

*Edwin R. Arboleda orcid scopus  -  Department of Computer and Electronics Engineering, College of Engineering and Information Technology, Cavite State University, Philippines
Kimberly M. Parazo  -  Department of Computer and Electronics Engineering, College of Engineering and Information Technology, Cavite State University, Philippines
Christle M. Pareja  -  Department of Computer and Electronics Engineering, College of Engineering and Information Technology, Cavite State University, Philippines
Received: 5 May 2020; Revised: 19 Oct 2020; Accepted: 20 Oct 2020; Published: 31 Oct 2020; Available online: 21 Oct 2020.
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Abstract
This study aimed to design and develop a watermelon ripeness detector using Near-Infrared Spectroscopy (NIRS). The research problem being solved in this study is developing a prototype wherein the watermelon ripeness can be detected without the need to open it. This detector will save customers from buying unripe watermelon and the farmers from harvesting an unripe watermelon. The researchers attempted to use the NIRS technique in determining the ripeness level of watermelon as it is widely used in the agricultural sector with high-speed analysis. The project was composed of Raspberry Pi Zero W as the microprocessor unit connected to input and output devices, such as the NIR spectral sensor and the OLED display. It was programmed by Python 3 IDLE. The detector scanned a total of 200 watermelon samples. These samples were grouped as 60 % for the training dataset, 20 % for testing, and another 20 % for evaluation. The data sets were collected and are subjected to the Support Vector Machine (SVM) algorithm. Overall, experimental results showed that the detector could correctly classify both unripe and ripe watermelons with 92.5 % accuracy.
Keywords: watermelon; near-infrared spectroscopy; support vector machine; ripeness level
Funding: Cavite State University

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Section: Original Research Articles
Language : EN
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