[1]郑丽颖,等.基于计算机视觉的作物营养诊断系统的关键技术研究现状[J].黑龙江农业科学,2009,(02):137-141.
　ZHENGLi-ying,ZHANGJing-tao,et al.Review on Key Technologies of Computer Vision-Based Diagnosis ofCrop Nutrition Status[J].HEILONGJIANG AGRICULTURAL SCIENCES,2009,(02):137-141.
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基于计算机视觉的作物营养诊断系统的关键技术研究现状

《黑龙江农业科学》[ISSN:1002-2767/CN:23-1204/S] 卷: 期数: 2009年02 页码: 137-141 栏目: 出版日期: 2009-03-10
Title:
Review on Key Technologies of Computer Vision-Based Diagnosis ofCrop Nutrition Status
文章编号:
1002-2767(2009)02-0137-04
作者:
郑丽颖1 ;  2 ; 张敬涛2 ;  王谦玉2
(1 .哈尔滨工程大学计算机科学与技术学院, 黑龙江哈尔滨, 150001 ;2 .黑龙江省农业科学院佳木斯分院,黑龙江佳木斯,154007)
Author(s):
ZHENGLi-ying1 ;  2 ;  ZHANGJing-tao2 ;  WANG Qian-yu2
1 .Computer Science and Technology College of Harbin Engineering University , Harbin , Heilongjiang150001 ;2 .Jiamusi Sub-academy of Heilongjiang Academy of Ag ricultural Sciences , Jiamusi ,Heilongjiang154007
关键词:
计算机视觉; 作物营养诊断; 图像分割; 特征提取与分析; 建模
Keywords:
computer vision; crop nutrition diag nosis ; image segmentation; feature ex traction and analysis; modeling
分类号:
TP29
文献标志码:
A
摘要:
近年来, 随着高分辨率数码照相机和摄像机的问世, 基于计算机视觉的方法成为无损诊断作物营养的解决方案之一。详细分析了基于计算机视觉的作物营养诊断关键技术的研究现状, 主要包括冠层图像分割技术、冠层图像特征提取与分析技术、诊断模型建立技术。同时指出了现有研究方法所存在的问题以及未来的研究方向。
Abstract:
With the development of hi-resolution digital technology , computer vision based method has become one of the cropnutrition diagnoses.The key technologies were analyzed in detail in this paper , such as crop canopy image segmentation, featureextraction and analy sis, as well as modeling .Meanwhile, the disadvantag es existed in the technologies propo sed by theresearchers were also pointed out, as well as the future wo rk .

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备注/Memo

基金项目:中国博士后科学基金资助项目(20070410924)第一作者简介:郑丽颖(1976-), 女, 吉林省柳河县人, 博士, 副教授,主要从事图像处理、模式识别研究。E-mail:heuzhengliying @yahoo.cn。

更新日期/Last Update: 2016-08-23