Research on apple fruit defect detection based on computer vision
Xu Guangfei;Tangshan Polytechnic College;
Apple grading takes its own size and defects as key evaluation indicators. According to the research status of apple grading based on computer vision technology and combined with the actual needs, this paper discusses a detection system that can sort apples, briefly introduces the R-channel method, and tests the application effect of the detection system. Through the test results, it is found that this algorithm is feasible, good application effect can be achieved. Based on this, this paper combines the differences in the color and texture of the leaves when apple trees are infected, and cleverly uses computer vision technology to develop a detection system that can diagnose apple tree diseases.
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