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Software Implementation For Fruits And Vegetables Quality Determination

Human always use their senses to detect the quality of the vegetables and fruits so then they will know how fresh the vegetables or fruits they want However, human senses can only detect the freshness at a certain level making it hard for us to know how fresh the vegetables and fruits are. Even t...

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Main Author:	Sudin, Suhaili Shazreena
Format:	Final Year Project
Language:	English
Published:	Universiti Teknologi Petronas 2009
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://utpedia.utp.edu.my/8935/1/2009%20Bachelor%20-%20Software%20Implementation%20For%20Fruits%20And%20Vegetables%20Quality%20Determination.pdf http://utpedia.utp.edu.my/8935/
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id	my-utp-utpedia.8935
record_format	eprints
spelling	my-utp-utpedia.89352017-01-25T09:44:05Z http://utpedia.utp.edu.my/8935/ Software Implementation For Fruits And Vegetables Quality Determination Sudin, Suhaili Shazreena TK Electrical engineering. Electronics Nuclear engineering Human always use their senses to detect the quality of the vegetables and fruits so then they will know how fresh the vegetables or fruits they want However, human senses can only detect the freshness at a certain level making it hard for us to know how fresh the vegetables and fruits are. Even though the physical appearances of the vegetables and the fruits can easily indicate how fresh they are but it can be very deceiving sometimes as the fruits can be rotten on the inside. The objectives of this project are to analyze the waveforms obtained from gas emitted by fruits and vegetables in certain condition and use neural network to classifY the readings from the sensors into three different conditions which are fresh, slightly fresh and rotten. C program is also constructed as another way to classifY the fruits and vegetables into three different conditions as well. The experiment is conducted by obtaining the readings from the sensors and analyzed the readings using neural network. Based on the simuJation from the neural network, the network will identifY the conditions of the fruits and vegetables based on the readings from the sensors. C program also works similar ways like the neural network. By comparing both neural network and C program, neural network is able to determine the freshness of the fruits and vegetables with the accuracy of 99%. Unlike neural network, C program can only determine the condition of the fruits and vegetables based on the sensor range which it is not sensitive to the changes in the readings. Therefore, the best method for determining the freshness of the fruits and vegetables is by using neural network. Universiti Teknologi Petronas 2009-06 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/8935/1/2009%20Bachelor%20-%20Software%20Implementation%20For%20Fruits%20And%20Vegetables%20Quality%20Determination.pdf Sudin, Suhaili Shazreena (2009) Software Implementation For Fruits And Vegetables Quality Determination. Universiti Teknologi Petronas. (Unpublished)
institution	Universiti Teknologi Petronas
building	UTP Resource Centre
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Petronas
content_source	UTP Electronic and Digitized Intellectual Asset
url_provider	http://utpedia.utp.edu.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Sudin, Suhaili Shazreena Software Implementation For Fruits And Vegetables Quality Determination
description	Human always use their senses to detect the quality of the vegetables and fruits so then they will know how fresh the vegetables or fruits they want However, human senses can only detect the freshness at a certain level making it hard for us to know how fresh the vegetables and fruits are. Even though the physical appearances of the vegetables and the fruits can easily indicate how fresh they are but it can be very deceiving sometimes as the fruits can be rotten on the inside. The objectives of this project are to analyze the waveforms obtained from gas emitted by fruits and vegetables in certain condition and use neural network to classifY the readings from the sensors into three different conditions which are fresh, slightly fresh and rotten. C program is also constructed as another way to classifY the fruits and vegetables into three different conditions as well. The experiment is conducted by obtaining the readings from the sensors and analyzed the readings using neural network. Based on the simuJation from the neural network, the network will identifY the conditions of the fruits and vegetables based on the readings from the sensors. C program also works similar ways like the neural network. By comparing both neural network and C program, neural network is able to determine the freshness of the fruits and vegetables with the accuracy of 99%. Unlike neural network, C program can only determine the condition of the fruits and vegetables based on the sensor range which it is not sensitive to the changes in the readings. Therefore, the best method for determining the freshness of the fruits and vegetables is by using neural network.
format	Final Year Project
author	Sudin, Suhaili Shazreena
author_facet	Sudin, Suhaili Shazreena
author_sort	Sudin, Suhaili Shazreena
title	Software Implementation For Fruits And Vegetables Quality Determination
title_short	Software Implementation For Fruits And Vegetables Quality Determination
title_full	Software Implementation For Fruits And Vegetables Quality Determination
title_fullStr	Software Implementation For Fruits And Vegetables Quality Determination
title_full_unstemmed	Software Implementation For Fruits And Vegetables Quality Determination
title_sort	software implementation for fruits and vegetables quality determination
publisher	Universiti Teknologi Petronas
publishDate	2009
url	http://utpedia.utp.edu.my/8935/1/2009%20Bachelor%20-%20Software%20Implementation%20For%20Fruits%20And%20Vegetables%20Quality%20Determination.pdf http://utpedia.utp.edu.my/8935/
_version_	1739831616482574336
score	13.211869

Software Implementation For Fruits And Vegetables Quality Determination

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