UPM Institutional Repository

Fruit battery method for oil palm fruit ripeness sensor and comparison with computer vision method


Citation

Aliteh, Nor Aziana and Minakata, Kaiko and Tashiro, Kunihisa and Wakiwaka, Hiroyuki and Kobayashi, Kazuki and Nagata, Hirokazu and Misron, Norhisam (2020) Fruit battery method for oil palm fruit ripeness sensor and comparison with computer vision method. Sensors, 20 (3). art. no. 637. pp. 1-14. ISSN 1424-8220

Abstract

Oil palm ripeness’ main evaluation procedure is traditionally accomplished by human vision. However, the dependency on human evaluators to grade the ripeness of oil palm fresh fruit bunches (FFBs) by traditional means could lead to inaccuracy that can cause a reduction in oil palm fruit oil extraction rate (OER). This paper emphasizes the fruit battery method to distinguish oil palm fruit FFB ripeness stages by determining the value of load resistance voltage and its moisture content resolution. In addition, computer vision using a color feature is tested on the same samples to compare the accuracy score using support vector machine (SVM). The accuracy score results of the fruit battery, computer vision, and a combination of both methods’ accuracy scores are evaluated and compared. When the ripe and unripe samples were tested for load resistance voltage ranging from 10 Ω to 10 kΩ, three resistance values were shortlisted and tested for moisture content resolution evaluation. A 1 kΩ load resistance showed the best moisture content resolution, and the results were used for accuracy score evaluation comparison with computer vision. From the results obtained, the accuracy scores for the combination method are the highest, followed by the fruit battery and computer vision methods.


Download File

[img] Text
38175.pdf
Restricted to Repository staff only

Download (2MB)
Official URL or Download Paper: https://www.mdpi.com/1424-8220/20/3/637

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.3390/s20030637
Publisher: MDPI
Keywords: Oil palm; Moisture content; Fruit battery method; Load resistance voltage; Color feature; SVM
Depositing User: Nabilah Mustapa
Date Deposited: 03 May 2020 23:03
Last Modified: 03 May 2020 23:03
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/s20030637
URI: http://psasir.upm.edu.my/id/eprint/38175
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item