The recognition and diagnosis methods of main maize leaf diseases using machine vision were studied in this paper.
利用计算机视觉技术实现玉米叶部病害的自动识别诊断。
The results show that maize leaf chlorophyll content is affected by environmental conditions from silking to maturity.
结果表明：玉米叶片叶绿素含量在不同发育时期均受到环境变化的影响。
The method needs less parameters and achieves higher precision than other methods, and is a good way for geometry modeling in maize leaf.
与其它方法相比，该方法具有精度高，参数少的特点，是一种适合于玉米叶片三维造型的好方法。
The method needs less parameters and achieves higher precision than other methods, and is a good way for geometry modeling in maize leaf.
与其它方法相比，该方法具有精度高，参数少的特点，是一种适合于玉米叶片三维造型的好方法。
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