Soil fertility evaluation based on the sugeno fuzzy logical model

With the improvement of soils, productivity agricultural crops and efficiency mineral fertilizers increase;though for individual types changes take different ways. In soil, interactions between soil fertilizersare observed;variouscrop varieties react differently to them, because each variety was bred under one these interaction conditions, its influence is phenotypically fixed in it. It established that fertility soils quantitatively best characterized bystored moisture, bulk density, it closely related such generally recognized components as amount humus, nitrogen, phosphorus, etc. The main aim article build a Sugeno fuzzy logical model assessing fertility.