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用近红外反射估测小麦蛋白质含量 被引量:1
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作者 M. M. Noaman 王道龙 《国外农学(麦类作物)》 CSCD 1989年第5期28-30,共3页
应用近红外反射估测了硬粒红春小麦Newana的穗部、旗叶和穗柄在4个生长阶段的蛋白质含,对这一测定技术进行了验证.供试样本取自三种氮肥水平的田间试验地.由标准凯氏法测得植株上述三个部分的蛋白含量范围(从穗柄的2.7%到旗叶的16.7%),... 应用近红外反射估测了硬粒红春小麦Newana的穗部、旗叶和穗柄在4个生长阶段的蛋白质含,对这一测定技术进行了验证.供试样本取自三种氮肥水平的田间试验地.由标准凯氏法测得植株上述三个部分的蛋白含量范围(从穗柄的2.7%到旗叶的16.7%),并用此结果校准近红外反射测定结果.用19种可用的滤光片中的3个测定结果发现,二者之间的决定系数R^2为0.98;另用一冬小麦在三个生长阶段对近红外反射测定的可靠性进行验证,结果发现测定结果与凯氏法测定结果之间的决定系数r^2达极显著.据此认为,近红外反射是一种准确、快速且经济地测定植株气生组织蛋白含量的可行技术,有助于筛选小麦基因型间植株气生组织蛋白质含量. 展开更多
关键词 小麦 蛋白 近红处 反射
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Turbidity analysis using visible and near-infrared light images 被引量:2
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作者 ZHU Yuanyang ZHAO Wenzhu +1 位作者 LIU Sheng GAO Hongwen 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2021年第1期27-35,共9页
The conventional photoelectric detection system requires complex circuitry and spectroscopic systems as well as specialized personnel for its operation.To replace such a system,a method of measuring turbidity using a ... The conventional photoelectric detection system requires complex circuitry and spectroscopic systems as well as specialized personnel for its operation.To replace such a system,a method of measuring turbidity using a camera is proposed by combining the imaging characteristics of a digital camera and the high-speed information processing capability of a computer.Two turbidity measurement devices based on visible and near-infrared(NIR)light cameras and a light source driving circuit with constant light intensity were designed.The RGB data in the turbidity images were acquired using a self-developed image processing software and converted to the CIE Lab color space.Based on the relationship between the luminance,chromatic aberration,and turbidity,the turbidity detection models for luminance and chromatic aberration of visible and NIR light devices exhibiting values from 0-1000 NTU,less than 100 NTU,and more than 100 NTU were established.By comparing and analyzing the proposed models,the two measurement models with the best all-around performance were selected and fused to generate new measurement models.The experimental results prove that the correlation between the three models and the commercial turbidity meter measurements exhibite a significance value higher than 0.999.The error of the fusion model is within 1.05%,with a mean square error of 1.14.The visible light device has less error at low turbidity measurements and is less influenced by the color of the image.The NIR light device is more stable and accurate at full range and high turbidity measurements and is therefore more suitable for such measurements. 展开更多
关键词 image processing water quality turbidity measurement near-infrared image color space conversion
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