| 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 |
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| 引用本文： | 郑丽颖,张敬涛,王谦玉.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(2):137-141. |
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| 作者姓名： | 郑丽颖 张敬涛 王谦玉 |
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| 作者单位： | 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;黑龙江省农业科学院佳木斯分院,黑龙江佳木斯,154007
2. 黑龙江省农业科学院佳木斯分院,黑龙江佳木斯,154007 |
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| 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。
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| 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 |
Review on Key Technologies of Computer Vision-Based Diagnosis of Crop Nutrition Status |
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| ZHENG Li-ying,ZHANG Jing-tao,WANG Qian-yu.Review on Key Technologies of Computer Vision-Based Diagnosis of Crop Nutrition Status[J].Heilongjiang Agricultural Science,2009(2):137-141. |
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| Authors: | ZHENG Li-ying ZHANG Jing-tao WANG Qian-yu |
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| Institution: | 1.Computer Science and Technology College of Harbin Engineering University;Harbin;Heilongjiang 150001;2.Jiamusi Sub-academy of Heilongjiang Academy of Agricultural Sciences;Jiamusi;Heilongjiang 154007 |
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| Abstract: | With the development of hi-resolution digital technology,computer vision based method has become one of the crop nutrition diagnoses.The key technologies were analyzed in detail in this paper,such as crop canopy image segmentation,feature extraction and analysis,as well as modeling.Meanwhile,the disadvantages existed in the technologies proposed by the researchers were also pointed out,as well as the future work. |
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| Keywords: | computer vision crop nutrition diagnosis image segmentation feature extraction and analysis modeling |
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