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The basic stages during automatic qualification of agricultural products are: acquisition of initial information of the quality state, mathematical proceeding of this information and decision making for object qualification to defined sets according to the state of quality. One of the steps in the second stage is transformation the patterns of qualified products to a new space of symptoms. In this paper an approach for transformation the initial description of the objects to a new space of spectral symptoms, independently of the size of the initial description of the object is presented. A relation for synthesis of symptoms for recognition has been generated.

One of the main tasks , that is being solved during the process of automatic sorting fruits and vegetables according to their quality is getting fbll information for the state of the quality of each product. This paper is focused on the results from the authors experience in using optoelectronic systems for the purposes of quality control and sorting fruits and vegetables according to their quality.A comparative analysis of the optoelectronic devices based on the reflected and passed through. the object light has been made. The specific features of using synchronous and asynchronous principles for feeding the objects to the observation zone are shown. The conclusions concerning the influence between the characteristics of the optoelectronic devices and the accuracy of the sorting process are given.

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