Formalization of fertigation module parameters in drip irrigation systems

Purpose: to formalize the parameters on which choice of optimal fertilizer application rates depends with fuzzy sets for constructing a model and control system fertigation module. Materials methods. The use Soft Computing methods is required by need represent input variables values in form sets, further structural parametric identification controlling concentration nutrients solution. This will enable compile knowledge bases “IF – THEN” rules and, using logic methods, determine well-defined output variables: necessary nitrogen, phosphorus potassium irrigation water. Results. As variables, are determined. At model, three determining norms nutrient solution used. For each selected measurement ranges linguistic term membership functions constructed. Conclusions. conducted formalization make it possible build structure module rule implement logical inference according Mamdani algorithm. allow defuzzification center gravity method order obtain clear numerical value at output. It also carry out obtained from training sample adjusting the. Thanks IoT technologies, be external if necessary, manual system.