Automatic Korla pear classification system of Raspberry Pi

Abstract

The invention provides an automatic Korla pear classification system of Raspberry Pi. The system comprises an image acquisition module, a quality acquisition module, a control module and a Korla pearrotating classification device; the image acquisition module is used for acquiring appearance information of Korla pears; the quality acquisition module is used for acquiring weight information of theKorla pears; the control module gives out a classification standard for the currently-detected Korla pears according to the appearance information and the weight information; and the Korla pear rotating classification device classifies the Korla pears according to the classification standard. According to the system, the classification results are efficient, quick and accurate.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an automatic grading system for Korla fragrant pears of Raspberry Pi. Background technique [0002] my country is a big fruit producing country, especially since the 1990s, it has developed more rapidly. According to statistics from the National Bureau of Statistics, my country's total fruit output reached 15,243 tons in 2004, an increase of 5% over 2003, accounting for 12.7% of the world's total output. The fruit industry has become an important pillar industry for rural economic development in some areas of my country, and has made positive contributions to increasing farmers' income, expanding employment of urban residents and improving the ecological environment. [0003] Although my country's fruit production is large, the domestic fruit price is low, and the problem of "difficulty selling fruit" often occurs, and the momentum of rapid development of fruit producti...

AI Technical Summary

Problems solved by technology

One of the important reasons is that the post-harvest commercialization process is backward and the appearance quality is poor, which leads to the often weak competitiveness of the fruit

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