Абстрактный

Third Generation Agricultural Support System Development Using Data Mining

Jeysenthil.KMS, Manikandan.T, Murali.E

Agriculture is a multi-dimensional sector directly linked to the malnutrition and food security of the country. This paper provides an effusive farmer supporting system called “Third generation agricultural support system development” where it assess the various classification techniques of data mining and apply them to a soil science database to establish if meaningful relationships can be found. In data mining conception, clustering and classification technique make efficient knowledge exploration and knowledge acquisition from integrated organic farming and produces better solution to the farmers about their cultivation. The agricultural support system development consists of collecting soil information’s with computational approach which is followed in organic way of farming huddling using clusters(k-means) and gives best result using classification(orthogonal array) from the databases to the farmers along with beneficial microbes to release nutrients to crops for increased sustainable production in an ecological – intensification and pollution free environment