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基于机器视觉的玉米收获机器人路径识别

胡丹丹 殷欢

农机化研究2017,Vol.39Issue(12):190-194,5.
农机化研究2017,Vol.39Issue(12):190-194,5.

基于机器视觉的玉米收获机器人路径识别

Path Recognition of Corn Harvesting Robot Based on Machine Vision

胡丹丹 1殷欢1

作者信息

  • 1. 江西机电职业技术学院,南昌 330013
  • 折叠

摘要

Abstract

China's corn acreage and yield are very large, occupies an important position in agriculture, but the cost of harvesting part of the amazing.Maize harvesting robot can improve the working efficiency, greatly reduce the production cost, has broad application prospects.Path recognition capability is an important aspect of robot environment adaptability.Machine vision can be used in path recognition of agricultural robots.In this paper, a path recognition method of corn harvest robot based on machine vision is designed, and a real-time image processing experiment is carried out in the field.The results show that the method has better adaptability and practicability in the field.The improvement and internal parameter optimization can provide technical support for the intelligence and informationization of corn harvest.

关键词

玉米收获/路径识别/机器视觉

Key words

corn harvesting/path recognition/machine vision

分类

农业科技

引用本文复制引用

胡丹丹,殷欢..基于机器视觉的玉米收获机器人路径识别[J].农机化研究,2017,39(12):190-194,5.

基金项目

基于《中国制造2025》江西省机械工业发展研究项目(GJJ151380) (GJJ151380)

农机化研究

OA北大核心

1003-188X

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