Backpropagation algorithm for rice yield prediction

Organized by Oita University, 28th - 30th January 2004 at Beppu, Oita, Japan.

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Bibliographic Details
Main Authors:	Puteh, Saad, Mohamed Rizon, Mohamed Juhari, Nor Khairah, Jamaludin, Siti Sakira, Kamarudin, Aryati, Bakri, Nursalasawati, Rusli
Format:	Working Paper
Language:	English
Published:	Oita University 2009
Subjects:	BP Rice yield prediction Improved unit range Rice yield Neural networks (Computer science) Back propagation Algorithms Computer programming
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/6424
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-6424
record_format	dspace
spelling	my.unimap-64242009-09-04T03:11:20Z Backpropagation algorithm for rice yield prediction Puteh, Saad Mohamed Rizon, Mohamed Juhari Nor Khairah, Jamaludin Siti Sakira, Kamarudin Aryati, Bakri Nursalasawati, Rusli BP Rice yield prediction Improved unit range Rice yield Neural networks (Computer science) Back propagation Algorithms Computer programming Organized by Oita University, 28th - 30th January 2004 at Beppu, Oita, Japan. Parameters that affect rice yield are many, for instance diseases, pests and weeds. Statistical or mathematical model is unable to describe the correlation between plant diseases, pests and weeds on the amount of rice yield. In this study, a Backpropogation (BP) algorithm is utilized to develop a neural network model to predict rice yield based on the aforementioned factors in MUDA irrigation area, Malaysia. The result of this study shows that the BP algorithm is able to predict the rice yield to a deviation of less than 0.21. 2009-07-10T07:55:28Z 2009-07-10T07:55:28Z 2004-01-28 Working Paper p.148-151 http://hdl.handle.net/123456789/6424 en Proceedings of the 9th International Symposium on Artificial Life and Robotics (AROB 9th '04) Oita University
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	BP Rice yield prediction Improved unit range Rice yield Neural networks (Computer science) Back propagation Algorithms Computer programming
spellingShingle	BP Rice yield prediction Improved unit range Rice yield Neural networks (Computer science) Back propagation Algorithms Computer programming Puteh, Saad Mohamed Rizon, Mohamed Juhari Nor Khairah, Jamaludin Siti Sakira, Kamarudin Aryati, Bakri Nursalasawati, Rusli Backpropagation algorithm for rice yield prediction
description	Organized by Oita University, 28th - 30th January 2004 at Beppu, Oita, Japan.
format	Working Paper
author	Puteh, Saad Mohamed Rizon, Mohamed Juhari Nor Khairah, Jamaludin Siti Sakira, Kamarudin Aryati, Bakri Nursalasawati, Rusli
author_facet	Puteh, Saad Mohamed Rizon, Mohamed Juhari Nor Khairah, Jamaludin Siti Sakira, Kamarudin Aryati, Bakri Nursalasawati, Rusli
author_sort	Puteh, Saad
title	Backpropagation algorithm for rice yield prediction
title_short	Backpropagation algorithm for rice yield prediction
title_full	Backpropagation algorithm for rice yield prediction
title_fullStr	Backpropagation algorithm for rice yield prediction
title_full_unstemmed	Backpropagation algorithm for rice yield prediction
title_sort	backpropagation algorithm for rice yield prediction
publisher	Oita University
publishDate	2009
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/6424
_version_	1643788512550453248

Backpropagation algorithm for rice yield prediction

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