Purpose

To realize the high-precision measurement of available nitrogen in coco-peat substrate, the influences of near-infrared (NIR) spectral data of different spectral resolution and band ranges on the model detection performances were studied.

Materials and methods

A flame NIR spectrometer and an ANTARIS FT-NIR spectrometer were used to acquire spectral data of short-wave near-infrared (SW-NIR) band (1000–1660 nm), long-wave near-infrared (LW-NIR) band (1660–2500 nm), and NIR band (1000–2500 nm) of coco-peat substrate samples respectively. Then, the models were established based on the original data and various pre-processing data. Furthermore, the effects of spectral resolution and detection band ranges on available nitrogen NIR spectroscopy detection of coco-peat substrate were studied by comparing the modeling results.

Results and discussion

The spectral resolution and detection band ranges had significant influences on the NIR spectroscopy detection of coco-peat substrate available nitrogen. In comparison, the model with high-resolution LW-NIR band spectral data yielded the best prediction performance. Specifically, the correlation coefficients and root mean squared errors in calibration set and prediction set were 0.999, 0.996, 3.197 mg/100g, and 5.373 mg/100g, respectively. The ratio of prediction to deviation was 10.895.

Conclusions

High-resolution spectral data was useful to improve the model performance of the sample available nitrogen NIR spectroscopy prediction, and the LW-NIR band range was the optimal detection band for coco-peat substrate available nitrogen NIR spectroscopy detection. Therefore, the high-resolution LW-NIR band spectrometer was useful to the development of high-precision NIR spectroscopy detection equipment for available nitrogen in coco-peat substrate.

中文翻译：

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用于表征可可豆基质可利用氮的不同分辨率和光谱带范围的预测性能优化

目的

为了实现可可豆基质中有效氮的高精度测量，研究了不同光谱分辨率和谱带范围的近红外光谱数据对模型检测性能的影响。

材料和方法

火焰近红外光谱仪和ANTARIS FT-NIR光谱仪用于获取短波近红外（SW-NIR）波段（1000-1660 nm），长波近红外（LW-NIR）波段的光谱数据（ 1660–2500 nm）和可可豆底物样品的NIR波段（1000–2500 nm）。然后，基于原始数据和各种预处理数据建立模型。此外，通过比较建模结果，研究了光谱分辨率和检测谱带范围对可可豆基质可用氮NIR光谱检测的影响。

结果和讨论

光谱分辨率和检测谱带范围对可可豆基质有效氮的NIR光谱检测有重大影响。相比之下，具有高分辨率LW-NIR波段光谱数据的模型产生了最佳的预测性能。具体而言，校正集和预测集中的相关系数和均方根误差分别为0.999、0.996、3.197 mg / 100g和5.373 mg / 100g。预测与偏差的比率为10.895。

结论

高分辨率光谱数据可用于改善样品可用氮NIR光谱预测的模型性能，并且LW-NIR谱带范围是可可豆基质可用氮NIR光谱检测的最佳检测带。因此，高分辨率的LW-NIR波段光谱仪对于可可豆基质中可用氮的高精度NIR光谱检测设备的开发很有用。