Research on Intelligent Grading and Packaging Collaborative Technology of Citrus Based on High Precision Machine Vision
Machine vision is a cutting-edge technology that can give machines the ability to"screen images".This paper focuses on the application of machine vision in the automatic grading and packaging system of citrus,aiming to improve the efficiency of citrus production line and enhance the competitiveness of the market.In view of the direct impact of peel defects on the quality and value of citrus,the system uses the size and number of defects as the main grading basis.High-quality skin images are obtained in a dark box environment,and advanced algorithms accurately recognize defect characteristics to achieve efficient and accurate grading.During the packing process,the grading results are fed back to the control system of the robotic arm in real time,which is then driven to quickly grab the mandarin oranges and place them in the corresponding cartons.Limit foam inside the carton prevents collision friction and enhances protection.The experimental results show that the defect detection accuracy of citrus reaches 98.7％,with an increase of 1.4 percentage points in accuracy,the grading accuracy reaches 95％,and the average packing speed is more than 6000 pieces per hour.This system improves the efficiency and accuracy of grading and packing,provides technical support for the intelligent upgrading of citrus industry,and has a broad market prospect.
computer visioncitrusgrading and packagingdefect detectionlimit foam
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