evaluating functional factors of electrostatic spraying for the upper and rear surfaces of the leaves using image processing

the necessity to use pesticides in agriculture, provides environmental pollution at the same time, and significant part of the agri-economy is allocated to this reseon. therefore, it is important issues to use of pesticides, with the highest degree of effectiveness and minimal loss. in this study, electrostatic spraying and its functional factors were evaluated. the applied experimental design was completely randomized factorial test with three replications. investigated factors include the distance electrostatic head to the target (three levels), the engine rotational speed sprayer (at three levels) and the discharge of soluble from the nozzle outlet (at three levels). as well as to determine the amount of drift for charged toxin particles, factors factorial experiment with the electric charging factor (two levels), the wind speed (two levels) and the distance from the head (at three levels) was performed. assessment of pesticides particle images effects on water sensitive paper, was conducted using image processing toolbox of matlab and coding an image processing algorithm. the results showed that significance of examined factors were different depend on the upper and rear surfaces of leaves, in some cases. also in surface coverage percent factor, electric charging of particles statistically significant with a probability of 99%.