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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/247

Title: Vee-Bissa: Paddy Decision Support System
Authors: Fernando, I.A.N.
Deegala, G.A.
Somawardhana, W.D.R.
Dassanayaka, G.C.
Haddela, P.S.
Perera, A.
Keywords: ARIMA Mode
Data Mining
Minimum rice requirement
Minimum seed requirement
Paddy production
Rice prices
Time series analysis
Extraction Transformation Loading
Issue Date: 26-Sep-2014
Series/Report no.: PNCTM;20
Abstract: This research paper presents an agricultural decision support system that is able to forecast prices of selected rice varieties, estimate minimum rice requirement for the country, and predict the rice production for a given future period of time, with the aid of a centralized data warehouse. There are several factors that affect the rice production and the rice requirement in Sri Lanka. Those quantifiable factors have been taken into account to build these modules. Price forecasting was done by analyzing past price variations. Subsequently, research was carried out in terms of finding the factors which affect the rice requirement and the rice production in Sri Lanka. This article explores the application of data mining and statistical analyzing tools that provide a fine-tuned decision making procedure with regard to paddy production and rice prices in Sri Lanka.
Description: SLIIT Research
URI: http://hdl.handle.net/123456789/247
ISSN: 1800-3591
Appears in Collections:NCTM - SLIIT 2014 -JANUARY

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