Spatial Data Mining-A tool for Spatial Decision Support System in Agriculture Management

Abstract

Agriculture and its allied sectors have been generating a huge amount of big data. This data includes the different forms such as structured, semi-structured and unstructured real time data. This has led to impose challenges to mine knowledge. Data Mining has left a vast scope for decision making in government and enterprises. The gap has been bridged by several techniques. Data mining is one of the such technique. The recent advanced information technology techniques such as spatial information technology has the capability of analyzing the wider range of agriculture related resources. The different agriculture related parameters include soil, climatic conditions, irrigation and water availability pattern and various socio-economic variables. The paper aims to systematically review the current researches on geospatial information for making better decisions in agriculture. The study also summarizes the application of geospatial data mining techniques and algorithms in agriculture. The study is an initiative in the current era for building a decision support system in agriculture sector.