农机化研究2024，Vol.46Issue(2)：84-90,7.
基于机器视觉的甘蔗多刀切种装备设计与试验
Design and Research of Sugarcane Multi-cutter Cutting Equipment Based on Machine Vision
摘要
Abstract
Aiming at the problems of high sprout damage rate and low cutting efficiency of sugarcane cutting,a sugarcane multi-cutter cutting equipment based on machine vision was designed.The seed cutting equipment uses conveyor chains to transport sugarcane horizontally.The whole sugarcane image is collected by camera and the location of stem nodes is identified.According to the requirement of agronomy,the location of cutting point of double bud segment is determined.The upper computer sends the location of cutting point to PLC through TCP communication,and then PLC controls the horizontal positioning and synchronous cutting of multi cutters.The core of the equipment is to use machine vision tech-nology to identify sugarcane stem nodes.A new algorithm for real-time identification of sugarcane stem nodes based on machine vision is proposed.The experiment shows that the recognition rate of the equipment is 95.3%,and the average cutter positioning accuracy is 0.07%,which meets the agronomic needs of high-quality double bud sugarcane segment.关键词
甘蔗切种/机器视觉/双芽段/TCP通信/PLCKey words
sugarcane cutting/machine vision/double bud segment/TCP communication/PLC分类
农业科技引用本文复制引用
陈延祥,周德强,赵文博,邓干然,何冯光..基于机器视觉的甘蔗多刀切种装备设计与试验[J].农机化研究,2024,46(2):84-90,7.基金项目
海南省自然科学基金项目(521QN308) （521QN308）
农业农村部热带作物农业装备重点实验室开放项目(2019KF002) （2019KF002）
江苏省研究生科研与实践创新计划项目(KYCX20_1924) （KYCX20_1924）
