期刊论文

中文

中国农学通报

1000-6850

2017

33

17

117-122

湖南省科技计划项目“油茶籽产地商品化处理关键技术研究与装备开发”（2016NK2117）； 湖南省教育厅科研项目“基于图像识别和微质量检测的油茶籽分级技术研究”（15C0664）；

本校为第一机构

为实现受稻瘟病侵染水稻叶片叶绿素含量的高光谱反演,以‘陵两优268’为研究对象,测定受稻瘟病侵染的85个水稻叶片样品的叶绿素含量和高光谱反射率,分析受稻瘟病侵染的水稻叶片高光谱反射率与叶绿素含量间的相关关系,使用线性与非线性回归技术建立叶绿素含量反演模型.结果显示:叶绿素含量与原始光谱及一阶导数光谱的敏感波段分别发生在700 nm和752 nm,基于光谱特征参数SDr的回归模型均方根误差为1.27,平均相对误差为10.2％.研究表明受稻瘟病侵染水稻叶片光谱反射率差异明显,基于光谱特征参数SDr的回归模型预测叶绿素含量具有较高的精度.

To determine the hyper-spectral inversion of chlorophyll content of rice leaves infected by rice blast, the chlorophyll content and hyper-spectral reflectance of 85 rice leaf samples of ＇Lingliangyou 268＇ infected by rice blast were measured and analyzed. The correlation between the hyper-spectral reflectance and the chlorophyll content of rice leaves infected by rice blast was also analyzed. Furthermore, the linear and non- linear regression techniques were used to establish the chlorophyll content inversion model. The results showed that th...