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。
Non-destructive monitoring of leaf soluble sugar to nitrogen ratio based on spectral information would be important is necessary for growth diagnosis and cultural regulation in maize production .
叶片碳氮比无损监测对于玉米生长诊断和管理调控提供具有重要的理论意义和应用价值。
Non-destructive monitoring of leaf soluble sugar to nitrogen ratio based on spectral information would be important is necessary for growth diagnosis and cultural regulation in maize production .
叶片碳氮比无损监测对于玉米生长诊断和管理调控提供具有重要的理论意义和应用价值。
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