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Paper Details

📄 IJAERD-OJS-3129

Arunella -Data Mining Application for Export Crops

Author(s):M.P.Madushika, W.H.I. Wijewantha, P.A.D.A.Senarathna, P.Nawarathnam, N. Vithana
Institution:Sri Lanka Institute of Information Technology
Published In:Vol. 4, Issue 7 — July 2017
Page No.:101-109
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

The novel famers faces many difficulties due to the lack of experience. They do not have proper experience incultivation. Therefore, those different kinds of cultivations face small to large scale of problems because new farmershave insufficient knowledge about agriculture. There are different levels and different types of cultivations. Sri Lankabeing an agriculture based country and 39% of the population are farmers. The knowledge about different strategies tobe used are gain by the experience. Because of those problems, famers can be in an uncertain state about theircultivation. Insufficient knowledge about lands and crops can be a main reason. Since they have less idea about theirlands, soil conditions, non-fertile, crops, natural disease, sales problems, etc. This article explains an android and a webbased system the supports decisions making in agriculture field. So, with this system farmers can get a good profit asthey expected. The system uses data mining and gives most accurate solution to agricultural problems. This is created forspices cultivation in Sri Lanka.

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🕮 How to Cite

M.P.Madushika, W.H.I. Wijewantha, P.A.D.A.Senarathna, P.Nawarathnam, N. Vithana, “Arunella -Data Mining Application for Export Crops”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 7, pp. 101-109, July 2017.

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Vol. 13 | Issue 4
April 2026