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机构地区:[1]吉林大学生物与农业工程学院 [2]华南农业大学南方农业机械与装备关键技术省部共建教育部重点实验室 [3]中国农业机械化科学研究院
出 处:《农业机械学报》2008年第4期108-111,116,共5页Transactions of the Chinese Society for Agricultural Machinery
基 金:国家“863”高技术研究发展计划资助项目(项目编号:2003AA209012、2006AA10A305-7)
摘 要:以大豆为研究对象,结合田间试验,采用反高斯(IG)光学模型拟合红边光谱反射率,一阶微分后得到红边振幅,建立估测叶绿素含量的S函数模型,相关系数达到0.7812。同时,采用连续统去除法提取吸收深度特征参数,运用多元统计回归的方法估算全钾含量(TK),相关系数达到0.7625。实现了仅用特定波段光谱数据预测作物营养状况的目的,为实现田间在线检测与变量投入提供了理论依据。The soy was taken as the investigative object and the red edge spectral reflectivity was simulated by inverted Gaussian model. The red edge swing (Dλred) was gained after differential coefficient original spectrum and SWeibull model to estimate chlorophyll has been set up. The correlative coefficient was 0. 781 2. At the same time the multivariate un-linear regression equation between TK content and absorption depth parameters were obtained by the method of continuum removal with their correlative coefficient of 0. 762 5. It is proved that the possibility of forecast plants' nutrition status by the least spectral data within given wave band and the theory also provided a foundational consult to exploit on-line detecting nutrition and variable fertilization in the fields.
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