Integration of GIS, Spatial Data Mining, and Fuzzy Logic for Agricultural Intelligence

Abstract

With increasing population and decreasing crop production, there is an enormous need to increase land under cultivation. This paper attempts to explore the applicability of spatial data mining integrated with Geographic Information System (GIS) and fuzzy logic for Agricultural Intelligence. The research uses thematic agricultural data of Jodhpur District of Rajasthan state and mines spatial association rules between groundwater, wastelands, and soils of Jodhpur District which are then used to create Mamdani fuzzy inference system for determining the utilization of wastelands. A taluk-wise map of Jodhpur district is created from the fuzzy values showing the utilization of wastelands. Analysis of results showed that out of 36,063 hectares of mined pattern, Phalodi taluk of Jodhpur district contains the largest wasteland area and the area under the medium type of utilization is the largest. It could be suggested that wastelands having a substantial groundwater underneath can be irrigated for agriculture and/or producing fodder and firewood.