Abstract
Machine vision has been widely used in the field of fruit picking in recent years, and its main application directions include fruit identification, fruit quality detection, fruit maturity detection and grading, etc. Among them, fruit maturity detection technology is of great significance for improving the quality and market competitiveness of fresh and stored fruits. This paper focuses on the application of machine vision in fruit identification, fruit ripeness detection and grading in the past three years, and the application is more mature in many fruits such as citrus, blueberry, cherry, etc. They use some algorithms to accurately identify the fruit, process its image, and feed it back to control the robotic arm for picking and other operations...