Abstract
The article is based on the methods and algorithm for determining the quality indicators of apples and their automatic sorting by category. The main quality indicators are according to GOST 34314-2017 include: appearance, size, smell, taste and permissible deviations. One of the most important works when placing apples for storage is sorting by size, cleaning from waste, as well as separating fruits affected by rot and late blight. The need for sorting apples occurs during storage, about a few percent of the fruit is exposed to various rotations, the main part of which is gray rot. The cost of manual labor for separating rotten fruits before storage is 20-30% of the total cost of labor in apple production. In various older samples,the types of working methods and algorithms for sorting structures were considered, including mechanical sorting, which determines the size by calibration, or sorting by weight, which determines the weight of apples using weights. The disadvantages of these machines are the jamming of raw materials in the holes, mechanical damage (scratching) of the product surface, the inability to quickly adjust the sorting process, and as a result, very conditional sorting accuracy. As a result of the research, the opto-electronic method is the most modern and correct solution, in particular, the determination of basic quality standards by automating the sorting process using an image capture device. The opto-electronic method is used for optical sorting of fruits by color characteristics, as a result of which various color impurities are removed from the products. The optical sorter allows you to remove damaged and poor-quality products.
01 Introduction
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02 References
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