Journal of Advanced Database Management & Systems

Geographical Knowledge report on Agriculture by Spatial Data Mining

  1. Srikanth Bethu

Abstract

Spatial Data Mining is nothing but the integration of Geographical Information System and Data Mining. The main objective of the present study i.e., Spatial Data Mining for Agriculture is to find or identify the potentially useful and ultimately understandable patterns in data which will be visualized on the map. Data Mining Algorithms such as clustering, classification, and association rules etc are applied for the Past and Future trends visualization for Agriculture on the Map and also to identify the useful information or decision-making knowledge in the database and extracting these in such a way that they can be put to use in areas such as decision support, prediction, forecasting, and estimation.

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