Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant

Precision farming or precision agriculture requires the use of new technologies, mainly Global Positioning (GPS) and Machine Vision Systems. The current trend is to make precision agriculture solutions as practical as possible which requires a high level of portability at the first step. Both of the...

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Main Author:	Kavandi, Nader
Format:	Thesis
Language:	English
Published:	2011
Subjects:	Global Positioning System Oil palm
Online Access:	http://psasir.upm.edu.my/id/eprint/41784/1/FK%202011%209R.pdf
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id	my-upm-ir.41784
record_format	uketd_dc
spelling	my-upm-ir.417842016-02-19T08:02:37Z Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant 2011-04 Kavandi, Nader Precision farming or precision agriculture requires the use of new technologies, mainly Global Positioning (GPS) and Machine Vision Systems. The current trend is to make precision agriculture solutions as practical as possible which requires a high level of portability at the first step. Both of the mentioned key technologies are already available in any modern Personal Digital Assistant (PDA), nominating them as capable, programmable and ultra-mobile devices in this field. The main objective of this research was to develop a software program that enables a regular PDA to replace a conventional camera vision system used for maturity inspection of oil palm fresh fruit bunches. The developed location aware software is named “Genius Farmer” and technical aspects of its development process are described. The software allows the user to take a picture from the FFBs using the built-in camera of the PDA and analyze it inside the PDA using a wisely implemented Hue based image processing algorithm. User can review the results on the screen, Geotag it with the current location data received through the built-in GPS receiver of the PDA, and lastly save them in a database for further analysis or future referencing. The results include the status of the fruit, its predicted oil content and suggested optimum harvesting date. A case study was carried out to verify the capabilities of the developed software in maturity assessment of the oil palm FFBs in a plantation. User-friendliness of the interface, compatibility with PDAs running Microsoft Windows Mobile® operating system and utilization of the built-in components of the PDA (Camera, GPS receiver and CPU) are the most important focused topics. The possibility of implementing other similar applications into the described device is discussed as a guideline for interested researchers in this field. Global Positioning System Oil palm 2011-04 Thesis http://psasir.upm.edu.my/id/eprint/41784/ http://psasir.upm.edu.my/id/eprint/41784/1/FK%202011%209R.pdf application/pdf en public masters Universiti Putra Malaysia Global Positioning System Oil palm
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Global Positioning System Oil palm
spellingShingle	Global Positioning System Oil palm Kavandi, Nader Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant
description	Precision farming or precision agriculture requires the use of new technologies, mainly Global Positioning (GPS) and Machine Vision Systems. The current trend is to make precision agriculture solutions as practical as possible which requires a high level of portability at the first step. Both of the mentioned key technologies are already available in any modern Personal Digital Assistant (PDA), nominating them as capable, programmable and ultra-mobile devices in this field. The main objective of this research was to develop a software program that enables a regular PDA to replace a conventional camera vision system used for maturity inspection of oil palm fresh fruit bunches. The developed location aware software is named “Genius Farmer” and technical aspects of its development process are described. The software allows the user to take a picture from the FFBs using the built-in camera of the PDA and analyze it inside the PDA using a wisely implemented Hue based image processing algorithm. User can review the results on the screen, Geotag it with the current location data received through the built-in GPS receiver of the PDA, and lastly save them in a database for further analysis or future referencing. The results include the status of the fruit, its predicted oil content and suggested optimum harvesting date. A case study was carried out to verify the capabilities of the developed software in maturity assessment of the oil palm FFBs in a plantation. User-friendliness of the interface, compatibility with PDAs running Microsoft Windows Mobile® operating system and utilization of the built-in components of the PDA (Camera, GPS receiver and CPU) are the most important focused topics. The possibility of implementing other similar applications into the described device is discussed as a guideline for interested researchers in this field.
format	Thesis
qualification_level	Master's degree
author	Kavandi, Nader
author_facet	Kavandi, Nader
author_sort	Kavandi, Nader
title	Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant
title_short	Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant
title_full	Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant
title_fullStr	Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant
title_full_unstemmed	Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant
title_sort	development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant
granting_institution	Universiti Putra Malaysia
publishDate	2011
url	http://psasir.upm.edu.my/id/eprint/41784/1/FK%202011%209R.pdf
_version_	1747811884657016832

Development of oil palm fresh fruit bunch maturity assessment software for personal digital assistant

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