This paper presents the results of a study of the Apple fruit recognition system on the crown of a tree based on the use of an artificial neural network (ANN). The article describes the process of conducting a multi-factor experiment to determine the relationship between the operating conditions of ANN: illumination, shooting distance, photo resolution, and determining their optimal parameters that allow obtaining the highest quality results. The obtained mathematical model reflects the relationship of such factors as illumination, distance to the object, shooting resolution and their influence on the reliability (accuracy) of object recognition in the photo. The optimal parameters of these factors are determined, at which the maximum value of recognition reliability of the desired objects is reached.