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。
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.
出处
《黑龙江农业科学》
2009年第2期137-141,共5页
Heilongjiang Agricultural Sciences
基金
中国博士后科学基金资助项目(20070410924)
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
computer vision
crop nutrition diagnosis
image segmentation
feature extraction and analysis
modeling
