Oil Palm Fruit Maturity Grading System using Computer Vision Technique

Nowadays, an automated fruit grading system has gained much attention since the technologies in upgrading the quality of food products are now acknowledged. This also includes the palm oil fruit sector. Palm oil fruit or Elaeis guineensis, is a species of palm that commonly called African oil palm,...

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Main Authors:	Rosdiyana, Samad, Fauziah, Zawawi
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/5726/ http://umpir.ump.edu.my/id/eprint/5726/1/EE-004.pdf

id	ump-5726
recordtype	eprints
spelling	ump-57262018-05-16T04:11:27Z http://umpir.ump.edu.my/id/eprint/5726/ Oil Palm Fruit Maturity Grading System using Computer Vision Technique Rosdiyana, Samad Fauziah, Zawawi TK Electrical engineering. Electronics Nuclear engineering Nowadays, an automated fruit grading system has gained much attention since the technologies in upgrading the quality of food products are now acknowledged. This also includes the palm oil fruit sector. Palm oil fruit or Elaeis guineensis, is a species of palm that commonly called African oil palm, which is the principal source of palm oil [1]. They are used in commercial agriculture in the production of palm oil (which is the most widely traded edible oil in the world [2]) and the palm oil itself can be used to produce other food products. The technology in the palm oil industry has grown in parallel with the increase in production.However, some tasks in palm oil processing require skilled labor so that the tasks run smoothly and can increase the production. Normally, in some developing countries such as Malaysia, the palm oil fruit grading is done manually by the labor or grader. However, at a certain time, grading mistakes can be occurred. This is because of the human’s eyes perceive colors differently and this often lead to dispute between graders and sellers. There might be inefficiencies and time-consuming using this method. In this paper, the palm oil fruit maturity grading system using computer vision technique is presented.The palm oil fruit bunch images are categorized into three classes which are under-ripe, ripe and unripe. A palm oil fruit is said to be ripe when the mesocarp color is reddish orange and the bunch has 10 or more empty sockets of detached fruitless. Another category which is under-ripe fruit bunch, it has yellowish orange with less than 10 empty sockets, while an unripe bunch has yellow mesocarp with no empty sockets [3]. A total of 90 images of oil palm fruit bunch (which 30 images for each group) are used for the system simulation. All oil palm fruit bunch images that were used in this experiment had been taken at Felda Kemahang Oil Mill, Pahang. The image acquisition process was supervised by experienced and skilled grader. Images of oil palm fruit bunch were taken using a digital camera under direct sunlight. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5726/1/EE-004.pdf Rosdiyana, Samad and Fauziah, Zawawi (2013) Oil Palm Fruit Maturity Grading System using Computer Vision Technique. In: Malaysian Technical Universities Conference on Engineering & Technology (MUCET 2013), 3-4 December 2013 , Kuantan, Pahang. pp. 1-2..
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Rosdiyana, Samad Fauziah, Zawawi Oil Palm Fruit Maturity Grading System using Computer Vision Technique
description	Nowadays, an automated fruit grading system has gained much attention since the technologies in upgrading the quality of food products are now acknowledged. This also includes the palm oil fruit sector. Palm oil fruit or Elaeis guineensis, is a species of palm that commonly called African oil palm, which is the principal source of palm oil [1]. They are used in commercial agriculture in the production of palm oil (which is the most widely traded edible oil in the world [2]) and the palm oil itself can be used to produce other food products. The technology in the palm oil industry has grown in parallel with the increase in production.However, some tasks in palm oil processing require skilled labor so that the tasks run smoothly and can increase the production. Normally, in some developing countries such as Malaysia, the palm oil fruit grading is done manually by the labor or grader. However, at a certain time, grading mistakes can be occurred. This is because of the human’s eyes perceive colors differently and this often lead to dispute between graders and sellers. There might be inefficiencies and time-consuming using this method. In this paper, the palm oil fruit maturity grading system using computer vision technique is presented.The palm oil fruit bunch images are categorized into three classes which are under-ripe, ripe and unripe. A palm oil fruit is said to be ripe when the mesocarp color is reddish orange and the bunch has 10 or more empty sockets of detached fruitless. Another category which is under-ripe fruit bunch, it has yellowish orange with less than 10 empty sockets, while an unripe bunch has yellow mesocarp with no empty sockets [3]. A total of 90 images of oil palm fruit bunch (which 30 images for each group) are used for the system simulation. All oil palm fruit bunch images that were used in this experiment had been taken at Felda Kemahang Oil Mill, Pahang. The image acquisition process was supervised by experienced and skilled grader. Images of oil palm fruit bunch were taken using a digital camera under direct sunlight.
format	Conference or Workshop Item
author	Rosdiyana, Samad Fauziah, Zawawi
author_facet	Rosdiyana, Samad Fauziah, Zawawi
author_sort	Rosdiyana, Samad
title	Oil Palm Fruit Maturity Grading System using Computer Vision Technique
title_short	Oil Palm Fruit Maturity Grading System using Computer Vision Technique
title_full	Oil Palm Fruit Maturity Grading System using Computer Vision Technique
title_fullStr	Oil Palm Fruit Maturity Grading System using Computer Vision Technique
title_full_unstemmed	Oil Palm Fruit Maturity Grading System using Computer Vision Technique
title_sort	oil palm fruit maturity grading system using computer vision technique
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/5726/ http://umpir.ump.edu.my/id/eprint/5726/1/EE-004.pdf
first_indexed	2023-09-18T22:01:06Z
last_indexed	2023-09-18T22:01:06Z
_version_	1777414403950379008

Oil Palm Fruit Maturity Grading System using Computer Vision Technique

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