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首页> 外文期刊>Journal of near infrared spectroscopy >Near infrared spectroscopy to measure maize grain composition on plot combine harvesters: evaluation of calibration techniques, mathematical transformations and scatter corrections
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Near infrared spectroscopy to measure maize grain composition on plot combine harvesters: evaluation of calibration techniques, mathematical transformations and scatter corrections

机译:近红外光谱法用于测量小区联合收割机上的玉米籽粒成分:校准技术评估,数学转换和散射校正

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摘要

Near infrared spectroscopy on combine harvesters (NOCH) and choppers (NOC) is used successfully in maize breeding programmes for both grain and forage in central Europe. However, it requires the development of accurate and reliable calibration models. The objectives of our study were to assess the effects of (i) calibration techniques, (ii) mathematical transformations and (iii) scatter corrections on the development of calibration models based on NOCH spectra for determination of dry matter, crude protein and starch content of maize grain. Plot combine harvesters equipped with diode-array spectrometers were used. The calibration technique was the most important factor affecting prediction ability. The importance of spectral data pre-treatment depended on the particular constituent considered. It provided no benefits for dry matter and had variable effects on crude protein and starch.
机译:联合收割机(NOCH)和切碎机(NOC)的近红外光谱已成功用于中欧谷物和牧草的玉米育种计划。但是,这需要开发准确可靠的校准模型。我们研究的目的是评估(i)校准技术,(ii)数学转换和(iii)散射校正对基于NOCH光谱测定干物质,粗蛋白和淀粉含量的校准模型的影响。玉米籽粒。使用配备有二极管阵列光谱仪的地块联合收割机。校准技术是影响预测能力的最重要因素。光谱数据预处理的重要性取决于所考虑的特定成分。它对干物质没有好处,并且对粗蛋白和淀粉有不同的影响。

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