[1]杨斯,黄铝文,张馨.机器视觉在设施育苗作物生长监测中的研究与应用[J].江苏农业科学,2019,47(06):179-187.
 Yang Si,et al.Research and application of machine vision in plant seedling growth monitoring[J].Jiangsu Agricultural Sciences,2019,47(06):179-187.
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机器视觉在设施育苗作物生长监测中的研究与应用()

《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第47卷
期数:
2019年第06期
页码:
179-187
栏目:
农业工程与信息技术
出版日期:
2019-04-05

文章信息/Info

Title:
Research and application of machine vision in plant seedling growth monitoring
作者:
杨斯1 黄铝文1 张馨2
1.西北农林科技大学信息工程学院,陕西杨凌 712100; 2.北京农业智能装备技术研究中心,北京 100097
Author(s):
Yang Siet al
关键词:
机器视觉农业作物苗期生长参数设施育苗作物生长监测
Keywords:
-
分类号:
S126
DOI:
-
文献标志码:
A
摘要:
机器视觉是利用机器代替人眼来对目标物做模式识别、测量与判断的一项综合技术,其在农业各领域中的研究与应用发展迅速。从作物育苗的特性、机器视觉在苗期管理的作用、苗期作物视觉信息采集设备及叶片提取方法的发展3个方面分析了设施育苗对基于机器视觉的苗期作物监测的需求;总结了苗期作物视觉信息的主流获取技术,即成像传感器的成像技术、多传感器图像融合技术、三维重建技术的特点;回顾了机器视觉技术近年来在国内外苗期作物中的应用情况,从苗期作物关键生长参数监测检测方面进行综述,分析、对比、总结苗期作物关键生长参数的提取方法,最后概述我国现阶段机器视觉技术在苗期作物的应用中主要存在的问题以及发展前景。
Abstract:
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备注/Memo

备注/Memo:
收稿日期:2017-12-08
基金项目:陕西省重大农技推广服务试点项目(编号:2016XXPT-00)。
作者简介:杨斯(1992—),女,湖北咸宁人,硕士研究生,主要从事图形图像、农业信息化方面的研究。E-mail:yangsi4212@163.com。
通信作者:黄铝文,博士,副教授,主要从事生物图像处理、机器人控制技术的研究,E-mail:huanglvwen@nwsuaf.edu.cn;张馨,博士,副研究员,主要从事设施环境调控与能源管理方面的研究,E-mail:zhangx@nercita.org.cn。
更新日期/Last Update: 2019-03-20