首页> 外文期刊>New Zealand Journal of Crop and Horticultural Science >Early detection of canopy nitrogen deficiency in winter wheat (Triticum aestivum L.) based on hyperspectral measurement of canopy chlorophyll status
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Early detection of canopy nitrogen deficiency in winter wheat (Triticum aestivum L.) based on hyperspectral measurement of canopy chlorophyll status

机译:基于高光谱冠层叶绿素状态的冬小麦冠层氮缺乏的早期检测

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A spectroscopic method was developed to measure the nitrogen status of winter wheat (Triticum aestivum L.) canopies. Two years of field experiments, including a range of cultivars grown with differing levels of nitrogen fertilization, were conducted and ground-based hyperspectral data were collected to develop and validate an empirical model for early detection of low canopy chlorophyll content. Canopy reflectance was measured with a spectrometer, fitted with a 25° field of view fibre-optic adaptor. Canopy chlorophyll density (CCD), representing the total amount of chlorophyll present in the canopy per unit ground area, was combined according to the contribution of winter wheat leaves in different layers of the canopy and related to canopy reflectance. Combined canopy chlorophyll density (CCCD) calculated with both layers 1 and 2 and with layers 1, 2 and 3 were better related to difference vegetation index (DVI=R_(NIR)?R_(RED), where R_(NIR) and R_(RED) were reflectance at 890 nm and 670 nm, respectively) than CCD in any individual layer. Statistical prediction models of canopy chlorophyll status in winter wheat were developed. The CCCD_(1+2) model demonstrated lower root mean square errors and higher modelling efficiencies than those of the CCCD_(1) and CCCD_(1+2+3) models. Chlorophyll status in the two uppermost layers of the wheat canopy could be quantified using DVI. Therefore, early detection of canopy nitrogen deficiency in winter wheat was achieved.
机译:开发了一种光谱法来测量冬小麦(Triticum aestivum L.)冠层的氮素状况。进行了两年的田间试验,包括一系列种植不同氮肥水平的品种,并收集了地面高光谱数据,以开发和验证用于早期检测低冠层叶绿素含量的经验模型。冠层反射率是用装有25°视场光纤适配器的光谱仪测量的。根据冬小麦叶片在冠层不同层中的贡献及其与冠层反射率的关系,将冠层的叶绿素密度(CCD)表示每单位地面面积中冠层中存在的叶绿素总量。在第1层和第2层以及第1层,第2层和第3层计算的组合冠层叶绿素密度(CCCD)与植被指数差异(DVI = R_(NIR)?R_(RED)更好,其中R_(NIR)和R_( RED)分别是任何单个层中CCD的890 nm和670 nm的反射率。建立了冬小麦冠层叶绿素状况的统计预测模型。与CCCD_(1)和CCCD_(1 + 2 + 3)模型相比,CCCD_(1 + 2)模型具有更低的均方根误差和更高的建模效率。小麦冠层最上两层的叶绿素状态可以使用DVI进行定量。因此,实现了对冬小麦冠层氮缺乏的早期检测。

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