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In situ sensing of leaf cuticular wax, pecan yield and pecan leaf nitrogen concentration.

机译:原位感测叶表皮蜡,山核桃产量和山核桃叶氮浓度。

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摘要

Scope and Method of Study: The objectives of this study were to develop technologies to enable in situ sensing of plant physiological conditions. Three differenet studies were conducted. Cuticular wax on spinach leaves was quantified by applying an empirically developed regression relationship to Fourier transform infrared attenuated total reflectance (FTIR-ATR) spectra of fresh plant material. In the second study, the backscatter response of microwaves from pecan tree canopy samples was investigated to assess the ability of short range radar to estimate nut yield in pecan orchards prior to harvest.;Finally, two methods to assess concentration of nitrogen in pecan leaves were developed. The first method extracted data from high resolution camera images in the green, red and near-infrared bands to calculate foliar nitrogen levels. In the second investigation, regression analysis was used to find relationships between chlorophyll meter measurements and chemical nitrogen analysis.;Findings and Conclusions: Linear regression models derived from FTIR-ATR spectra were able to predict greater than 86% of wax variation on leaves using 4 or 5 frequencies. DSC did not provide reliable predictions of cuticular wax.;Measurements of short range microwave radiation from 1 to 18 GHz reflected from pecan tree canopy samples resulted in linear regression models that predicted total water and dry mass of the samples over a wide range of frequencies with R2 >0.63 and 0.78 respectively.;Normalized difference vegetative index (NDVI) and reflectance data extracted from the camera images were significantly correlated to foliar N in both months of the study on 'Pawnee' pecans but only in one month 'Kanza'. The various relationships had R2 between 0.21 and 0.51. Correlation of foliar N to chlorophyll meter readings was poor in May for all cultivars but distinct significant linear relationships were found for 'Maramec' and 'Pawnee' for each of the other months tested with R2 ranging from 0.40 to 0.87. Data from 'Kanza' had significant relationships in June and October with R2 of 0.39 and 0.72, respectively.
机译:研究范围和方法:本研究的目的是开发能够原位感测植物生理状况的技术。进行了三项不同的研究。通过将经验开发的回归关系应用于新鲜植物材料的傅立叶变换红外衰减全反射(FTIR-ATR)光谱,对菠菜叶上的表皮蜡进行定量。在第二项研究中,研究了胡桃树冠层样品中微波的反向散射响应,以评估近距离雷达估计胡桃果园收获前坚果产量的能力。最后,评估胡桃叶中氮含量的两种方法是发达。第一种方法从绿色,红色和近红外波段的高分辨率相机图像中提取数据,以计算叶面氮含量。在第二项研究中,使用回归分析来发现叶绿素仪测量值与化学氮分析之间的关系。;发现与结论:使用FTIR-ATR光谱得出的线性回归模型能够预测叶蜡含量的86%以上,使用4或5个频率。 DSC不能提供可靠的角质层蜡预测。;对山核桃树冠样品反射的1至18 GHz短程微波辐射的测量结果产生了线性回归模型,该模型可以预测在很宽的频率范围内样品的总水和干质量。 R2分别大于0.63和0.78。在两个“波尼”山核桃研究的两个月中,从相机图像提取的归一化差异植物营养指数(NDVI)和反射率数据与叶面氮显着相关,但仅在一个月的“ Kanza”中。各种关系的R2在0.21和0.51之间。在所有品种中,5月份叶面氮与叶绿素计读数的相关性均较差,但在其他两个月中,'Maramec'和'Pawnee'的R2值在0.40至0.87之间,却发现明显不同的线性关系。来自“ Kanza”的数据在6月和10月具有显着关系,R2分别为0.39和0.72。

著录项

  • 作者

    Hardin, James A.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Engineering Agricultural.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 138 p.
  • 总页数 138
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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