基于数字图像技术的黄瓜缺氮营养诊断  

Diagnosis of nitrogen nutrition of cucumber based on digital image processing technique

作　　者：袁媛[1] 陈雷[1] 李淼[1] 高会议[1] YUAN Yuan CHEN Lei LI Miao GAO Hui-yi(Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China)

机构地区：[1]中国科学院合肥智能机械研究所,合肥230031

出　　处：《中国农业大学学报》2016年第12期35-40,共6页Journal of China Agricultural University

基　　金：国家"863计划"项目(2013AA102304);国家自然科学基金项目(31501223);江苏省自然科学基金面上项目(BK20131090)

摘　　要：以节节瓜和日本小黄瓜2个品种为试验对象,设计田间不同氮肥处理试验研究数字图像技术对于黄瓜缺氮无损诊断的可行性。每隔3d利用数码相机和叶绿素仪获取固定叶位的叶片图像和叶绿素测量(SPAD)值,利用图像处理技术获取叶片的颜色特征参数,分析这些参数和SPAD值之间的相关性,并建立回归方程。结果表明,红光标准化值(NRI)、色调(H)、深绿色指数(DGCI)和SPAD值之间存在良好的线性关系,其决定系数分别为0.86、0.70和0.65。利用数码相机和数字图像技术进行黄瓜氮素营养状况诊断具有快速、无损、易于操作的特点,易于在生产实际应用中推广。Taking Jiejiegua and Ribenxiaohuanggua as study object,digital camera and SPAD-502 were used to obtain the images and SPAD values of fixed leaf every three days.The color characteristic parameters and SPAD values of leaves were obtained and analyzed by using image processing techniques.A regression equation was also built.The results showed good linear correlation between NRI,H,DGCI parameters and SPAD values,where the R2 were 0.86,0.70 and 0.65 respectively.In conclusion,digital camera and image processing technique are usable in detecting the N nutrition in cucumber with advantages of fast speed,stable results,easy to apply,and non-destructive,and will provide references for crop nitrogen nondestructive diagnosis.

关 键 词：黄瓜 营养诊断 数字图像 氮素 SPAD 

分 类 号：S642.2[农业科学—蔬菜学] S24[农业科学—园艺学]