A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB)

Oil palm industry is one of the main industries in Malaysia that contributes to the country’s gross domestic product (GDP). In the oil palm industrial sector, methods of planting, detection and assessment are very important to produce high quality palm oil. Currently, the ripeness of oil palm fresh...

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Main Authors:	Zuhaira Mohd Zulkifli, Fazida Hanim Hashim, Thinal Raj, Aqilah Baseri Huddin
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:	http://journalarticle.ukm.my/12636/ http://journalarticle.ukm.my/12636/ http://journalarticle.ukm.my/12636/1/12.pdf

id	ukm-12636
recordtype	eprints
spelling	ukm-126362019-03-12T10:23:47Z http://journalarticle.ukm.my/12636/ A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB) Zuhaira Mohd Zulkifli, Fazida Hanim Hashim, Thinal Raj, Aqilah Baseri Huddin, Oil palm industry is one of the main industries in Malaysia that contributes to the country’s gross domestic product (GDP). In the oil palm industrial sector, methods of planting, detection and assessment are very important to produce high quality palm oil. Currently, the ripeness of oil palm fresh fruit bunch (FFB) is estimated using eyesight (most common), computer vision, hyperspectral imaging, light detection and ranging (LiDAR), near infrared (NIR) spectroscopy, and magnetic resonance imaging. The objective of this research is to introduce a rapid and non-destructive technique in determining and assessing the ripeness of oil palm fresh fruit bunch (FFB) by using a LiDAR scanning system. The LiDAR scanning system is used to scan three types of oil palm fruits at different level of ripeness which is under ripe, ripe, and over ripe. The reflectance intensity that bounces off the fruits are gathered and analysed to determine the different level or ripeness. Even though the intensity value is purely relative, it is proportional to the reflectance or absorption rate from the LiDAR sensor. A rapid method to determine the ripeness of palm fruits using a LiDAR sensor was proposed by calculating the reflectance percentage from 0% to 100% using the concept of linearity. Penerbit Universiti Kebangsaan Malaysia 2018 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12636/1/12.pdf Zuhaira Mohd Zulkifli, and Fazida Hanim Hashim, and Thinal Raj, and Aqilah Baseri Huddin, (2018) A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB). Jurnal Kejuruteraan, 30 (1). pp. 93-101. ISSN 0128-0198 http://www.ukm.my/jkukm/volume-301-2018/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Oil palm industry is one of the main industries in Malaysia that contributes to the country’s gross domestic product (GDP). In the oil palm industrial sector, methods of planting, detection and assessment are very important to produce high quality palm oil. Currently, the ripeness of oil palm fresh fruit bunch (FFB) is estimated using eyesight (most common), computer vision, hyperspectral imaging, light detection and ranging (LiDAR), near infrared (NIR) spectroscopy, and magnetic resonance imaging. The objective of this research is to introduce a rapid and non-destructive technique in determining and assessing the ripeness of oil palm fresh fruit bunch (FFB) by using a LiDAR scanning system. The LiDAR scanning system is used to scan three types of oil palm fruits at different level of ripeness which is under ripe, ripe, and over ripe. The reflectance intensity that bounces off the fruits are gathered and analysed to determine the different level or ripeness. Even though the intensity value is purely relative, it is proportional to the reflectance or absorption rate from the LiDAR sensor. A rapid method to determine the ripeness of palm fruits using a LiDAR sensor was proposed by calculating the reflectance percentage from 0% to 100% using the concept of linearity.
format	Article
author	Zuhaira Mohd Zulkifli, Fazida Hanim Hashim, Thinal Raj, Aqilah Baseri Huddin,
spellingShingle	Zuhaira Mohd Zulkifli, Fazida Hanim Hashim, Thinal Raj, Aqilah Baseri Huddin, A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB)
author_facet	Zuhaira Mohd Zulkifli, Fazida Hanim Hashim, Thinal Raj, Aqilah Baseri Huddin,
author_sort	Zuhaira Mohd Zulkifli,
title	A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB)
title_short	A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB)
title_full	A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB)
title_fullStr	A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB)
title_full_unstemmed	A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB)
title_sort	rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (ffb)
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2018
url	http://journalarticle.ukm.my/12636/ http://journalarticle.ukm.my/12636/ http://journalarticle.ukm.my/12636/1/12.pdf
first_indexed	2023-09-18T20:03:03Z
last_indexed	2023-09-18T20:03:03Z
_version_	1777406976774373376

A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB)

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