[1]周彤,程万强,刘涛,等.基于图像技术的葡萄生长监测研究进展[J].北方园艺,2018,42(24):156-161.[doi:10.11937/bfyy.20180987]
　ZHOU Tong,CHENG Wanqiang,LIU Tao,et al.Research Progress of Grape Growth Monitoring Based on Image Technology[J].Northern Horticulture,2018,42(24):156-161.[doi:10.11937/bfyy.20180987]
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基于图像技术的葡萄生长监测研究进展

《北方园艺》[ISSN:1001-0009/CN:23-1247/S] 卷: 第42卷 期数: 2018年24 页码: 156-161 栏目: 出版日期: 2018-12-25
Title:
Research Progress of Grape Growth Monitoring Based on Image Technology
作者:
周彤1; 程万强2; 刘涛1; 袁登荣2; 孙成明1
（1.扬州大学 江苏省作物遗传生理国家重点实验室培育点,粮食作物现代产业技术协同创新中心，江苏 扬州 225009；2.南京市园艺技术推广站，江苏 南京 210036）
Author(s):
ZHOU Tong1; CHENG Wanqiang2; LIU Tao1; YUAN Dengrong2; SUN Chengming1
(1.Jiangsu Key Laboratory of Crop Genetics and Physiology,Yangzhou University/Co-innovation Center for Modern Production Technology of Grain Crops,Yangzhou,Jiangsu 225009;2.Nanjing Garden Technology Promotion Station,Nanjing,Jiangsu 210036)
关键词:
葡萄; 图像技术; 生长监测; 进展
Keywords:
grape; image technology; growth monitoring; progress
DOI:
10.11937/bfyy.20180987
文献标志码:
A
摘要:
葡萄是世界上最主要的水果之一，近年来，随着精准葡萄栽培概念的提出和图像技术的发展，利用图像技术监测葡萄生长成为热点。该研究列举了应用较普遍的3类图像技术，即数字图像处理技术、光谱图像分析和机器视觉技术，简述了图像技术在葡萄生长信息监测方面的研究进展，并分析了其存在的问题，最后展望了图像技术在葡萄生长监测上的应用前景。可为今后水果生长智能监测提供理论和实践依据。
Abstract:
Grape is one of the most important fruits in the world.In recent years,with the concept of precision grape cultivation and the development of image technology,the use of image technology to monitor grape growth has become a hot spot.The research enumerated three kinds of image technology which were widely used,namely digital image technology,spectral image analysis and machine vision technology.The research progressed of image technology in grape growth information monitoring was summarized,and the existing problems were analyzed.Finally,the application prospect of image technology in grape growth monitoring was prospected.It could provide theoretical and practical basis for intelligent monitoring of fruit growth in the future.

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备注/Memo

第一作者简介：周彤（1994-），女，江苏南京人，硕士研究生，研究方向为作物生长模拟与图像识别。E-mail:1019212058@qq.com.责任作者：孙成明（1973-），男，江苏宿迁人，博士，教授，研究方向为作物生长模拟与智能监测。E-mail:cmsun@yzu.edu.cn.基金项目：国家自然科学基金资助项目（31671615，31701355）；江苏省农业科技自主创新资金资助项目(CX(16)1006）。收稿日期：2018-05-28

更新日期/Last Update: 2019-02-11