Comparison of Fuzzy logic and Boolean methods in mapping nitrogen and phosphorus nutrients

One of the approaches for increasing yield and reduction rice production costs is precision agriculture. Complete correct determination nutrition status paddy soils necessary in precise To compare fuzz y Boolean methods mapping nitrogen phosphorus, 370 compound samples were collected from 306 ha Rice Research Institute Rasht County plots with dimension 50 × 100 m. Total available phosphorus contents measured. Results showed that interpolation by fuzzy logic was more accurate comparison method had greater distinguishing power to indicate deficiency nutrients. Evaluation dependency using function method, southwest study area have other parts minor limitation these elements.