Development of Jatropha Curcas color grading system for ripeness evaluation

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14 Citations (Scopus)

Abstract

This paper presents an automated grading system for Jatropha curcas by using a color histogram. Today, Jatropha curcas have been widely planted for harvesting its nuts in the biodiesel production. The sizable Jatropha curcas plantations are only established when the world oil crisis demands extra capacities of biodiesel feedstock. As biodiesel feedstock, the Jatropha curcas gives a prospective value because it is categorized as nonedible oil that the availability will not be threaten by food purposes. Currently, human experts perform the traditional identification of Jatropha curcas. Its quality depends on type and size of defects as well as skin color and fruit size. In this paper, we present the development of a Grading System of Jatropha (GSJ) by using color histogram method to distinguish the level of ripeness of the fruits based on the color intensity. GSJ employs a Mean Color Intensity(MCI) to analyze the red, green and blue (RGB) color of Jatropha curcas. After few simulations, it can be ascertained that our proposed GSJ is useful for grading the level of ripeness of Jatropha curcas.

Original languageEnglish
Pages (from-to)662-669
Number of pages8
JournalEuropean Journal of Scientific Research
Volume30
Issue number4
Publication statusPublished - 2009

Fingerprint

Jatropha
Jatropha curcas
Grading
Color
Biofuels
color
Evaluation
Color Histogram
Biodiesel
biodiesel
Fruit
histogram
Fruits
Feedstocks
feedstocks
Oils
fruit
Harvesting
nut
oil

Keywords

  • Color
  • Grading system
  • Image processing
  • Jatropha curcas
  • Ripeness

ASJC Scopus subject areas

  • General

Cite this

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title = "Development of Jatropha Curcas color grading system for ripeness evaluation",
abstract = "This paper presents an automated grading system for Jatropha curcas by using a color histogram. Today, Jatropha curcas have been widely planted for harvesting its nuts in the biodiesel production. The sizable Jatropha curcas plantations are only established when the world oil crisis demands extra capacities of biodiesel feedstock. As biodiesel feedstock, the Jatropha curcas gives a prospective value because it is categorized as nonedible oil that the availability will not be threaten by food purposes. Currently, human experts perform the traditional identification of Jatropha curcas. Its quality depends on type and size of defects as well as skin color and fruit size. In this paper, we present the development of a Grading System of Jatropha (GSJ) by using color histogram method to distinguish the level of ripeness of the fruits based on the color intensity. GSJ employs a Mean Color Intensity(MCI) to analyze the red, green and blue (RGB) color of Jatropha curcas. After few simulations, it can be ascertained that our proposed GSJ is useful for grading the level of ripeness of Jatropha curcas.",
keywords = "Color, Grading system, Image processing, Jatropha curcas, Ripeness",
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AU - Ramli, Rizauddin

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AU - Yaakob, Zahira

PY - 2009

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N2 - This paper presents an automated grading system for Jatropha curcas by using a color histogram. Today, Jatropha curcas have been widely planted for harvesting its nuts in the biodiesel production. The sizable Jatropha curcas plantations are only established when the world oil crisis demands extra capacities of biodiesel feedstock. As biodiesel feedstock, the Jatropha curcas gives a prospective value because it is categorized as nonedible oil that the availability will not be threaten by food purposes. Currently, human experts perform the traditional identification of Jatropha curcas. Its quality depends on type and size of defects as well as skin color and fruit size. In this paper, we present the development of a Grading System of Jatropha (GSJ) by using color histogram method to distinguish the level of ripeness of the fruits based on the color intensity. GSJ employs a Mean Color Intensity(MCI) to analyze the red, green and blue (RGB) color of Jatropha curcas. After few simulations, it can be ascertained that our proposed GSJ is useful for grading the level of ripeness of Jatropha curcas.

AB - This paper presents an automated grading system for Jatropha curcas by using a color histogram. Today, Jatropha curcas have been widely planted for harvesting its nuts in the biodiesel production. The sizable Jatropha curcas plantations are only established when the world oil crisis demands extra capacities of biodiesel feedstock. As biodiesel feedstock, the Jatropha curcas gives a prospective value because it is categorized as nonedible oil that the availability will not be threaten by food purposes. Currently, human experts perform the traditional identification of Jatropha curcas. Its quality depends on type and size of defects as well as skin color and fruit size. In this paper, we present the development of a Grading System of Jatropha (GSJ) by using color histogram method to distinguish the level of ripeness of the fruits based on the color intensity. GSJ employs a Mean Color Intensity(MCI) to analyze the red, green and blue (RGB) color of Jatropha curcas. After few simulations, it can be ascertained that our proposed GSJ is useful for grading the level of ripeness of Jatropha curcas.

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KW - Image processing

KW - Jatropha curcas

KW - Ripeness

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