Prediction performance optimization of different resolution and spectral band ranges for characterizing coco-peat substrate available nitrogen
| Autor: | Yongyu Li, Xufeng Wang, Nihong Liu, Can Hu, Xiuying Tang, Huiling Li, Jun Dong, Zheng Xiong, Bing Lu |
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| Rok vydání: | 2021 |
| Předmět: |
Materials science
Spectrometer Stratigraphy Near-infrared spectroscopy Resolution (electron density) Analytical chemistry chemistry.chemical_element 04 agricultural and veterinary sciences Substrate (electronics) Spectral bands 010501 environmental sciences 01 natural sciences Nitrogen Root mean square chemistry 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Spectral resolution 0105 earth and related environmental sciences Earth-Surface Processes |
| Zdroj: | Journal of Soils and Sediments. 21:2672-2685 |
| ISSN: | 1614-7480 1439-0108 |
| Popis: | 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. 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. 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. 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. |
| Databáze: | OpenAIRE |
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