Extracting spatial association rules in remotely sensed data of yellow rust disease in wheat crop at Udham Singh Nagar

To ascertain wheat yield losses caused by stripe rust present work deals with the development of computer intelligent system, that uses improved Apriori algorithm to extract spatial association rules from spatial databases which helps in a decision support system for wheat crop yellow rust disease management. The approach aims to extract interesting frequent patterns and spatial associations among the used spatial databases that were obtained after the preprocessing and analysis of data using ENVI and Arc GIS tools. Firstly spatial data and their relationships were abstracted into generic database and then finally the file was used to extract spatial association rules. The implementation was successfully done using Java. Spatial association rules obtained have been verified by agriculture domain experts and the used algorithm has been found to be better.