An intelligent system for land suitability assessment of tobacco

High level of tobacco exports value required step-up of tobacco productivity. Productivity needs is not comparable with land availability, so that required land optimization with assessing land suitability. In the current trend of suitability assessment techniques is use intelligent system. This paper presents a research on improvement accuracy of land suitability assessment for tobacco using intelligent system. Each sub-criteria assessment has result of standardization and weight values. Suitability index and land suitability classes were obtained from calculation of the standardization results and the weights of each sub-criteria before being overlaid with spatial data to produce land suitability maps for tobacco. This map has been shows every land suitability class for tobacco cultivation. The result of system assessment was validated using yields of tobacco and compared with conventional method. The result assessment show intelligent assessment more accurate than conventional assessment system.