Modern methods of digitalized assessment of fruit and vegetable products quality

A significant increase in the computing power of microprocessor devices made it possible to integrate into existing production processes systems for intelligent processing and analysis of data obtained from objective controls. The article analyzed such methods for automated sorting of fruits and vegetables in order to determine the possibility of developing equipment and software for digital quality assessment. Methods based on color television sensors, hyperspectral analysis, hybrid electro-optical methods and chlorophyll fluorescence method are considered. Their advantages and limitations are defined. As a result, an automated sorting algorithm based on the complex use of vision systems, deep learning algorithms and fuzzy logic is proposed. It was found that this approach will increase the accuracy of determining the suitability of fruits for processing, taking into account both external defects and the assessment of possible internal damage.