A Review of Machine Vision Based Fruit Recognition Applications

Abstract

Machine vision is widely used in various fields. The main applications in the field of fruit picking are fruit identification, fruit quality detection, fruit ripeness detection and grading, etc. And fruit ripeness detection technology is important to improve 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. It uses a number of algorithms to enable accurate identification of fruits and processing of their images to control the robotic arm for a variety of operations such as picking.