ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN PRECISION AGRICULTURE Summary Image processing, object classification and artificial neural network algorithms are considered in the paper applying to disease area recognition of agricultural field imag es. The images are presented as reduced normalized histograms. The classification is carried out for RGB-and HSV-space by using a multilayer perceptron.