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Clustering pests of rice using self organizing map

Md. Sap, Mohd. Noor and Hasan, Shafaatunnur (2008) Clustering pests of rice using self organizing map. Jurnal Teknologi Maklumat, 20 (4). pp. 83-96. ISSN 0128-3790

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Abstract

Rice, Oryza sativa, also called paddy rice, common rice, lowland and upland.rice. This food grain is produced at least 95 countries around the globe, with China producing 36% of the world's production in 1999, followed by India at 21%, Indonesia at 8%, Bangladesh and Vietnam each producing about 5%. The United States produced about 1.5% of the world's accounts for about 15% of the annual world exports of rice. However the Modern agriculture is influenced by both the pressure for increased productivity and increased stresses caused by plant pests. Geographical Information Systems and Global Positioning Systems are currently being used for variable rate application of pesticides, herbicide and fertilizers in Precision Agriculture applications, but the comparatively lesserused tools of Neural Network can be of additional value in integrated pest management practices. This study details spatial analysis and clustering using Neural Network based on Kohonen Self Organizing map (SOM) as applied to integrated agricultural rice pest management in Malaysia.

Item Type:Article
Uncontrolled Keywords:rice, clustering, neural network, kohonen self organizing map (SOM)
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Computer Science and Information System (Formerly known)
ID Code:10755
Deposited By: Ms Zalinda Shuratman
Deposited On:12 Nov 2010 08:35
Last Modified:12 Nov 2010 08:35

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