Prediction performance optimization of different resolution and spectral band ranges for characterizing coco-peat substrate available nitrogen-Reference-Cited by-同舟云学术

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Prediction performance optimization of different resolution and spectral band ranges for characterizing coco-peat substrate available nitrogen

Published:2021-05-12 Issue:7 Volume:21 Page:2672-2685
ISSN:1439-0108
Container-title:Journal of Soils and Sediments
language:en
Short-container-title:J Soils Sediments

Author:

Lu Bing,Wang Xufeng,Liu Nihong,Hu Can,Dong Jun,Li Yongyu,Li Huiling,Xiong Zheng,Tang Xiuying

Funder

Xinjiang Production and Construction Corps

Department of Agriculture of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Stratigraphy,Earth-Surface Processes

Link

https://link.springer.com/content/pdf/10.1007/s11368-021-02949-4.pdf

Reference50 articles.

1. Aliano-Gonzalez MJ, Ferreiro-Gonzalez M, Espada-Bellido E, Palma M, Barbero GF (2019) A screening method based on visible-NIR spectroscopy for the identification and quantification of different adulterants in high-quality honey. Talanta 203:235–241

2. Barthès BG, Kouakoua E, Clairotte M, Lallemand J, Chapuis-Lardy L, Rabenarivo M, Roussel S (2019) Performance comparison between a miniaturized and a conventional near infrared reflectance (NIR) spectrometer for characterizing soil carbon and nitrogen. Geoderma 338:422–429

3. Bi HY, Cai DD, Zhang RT, Zhu YW, Zhang DN, Qiao L, Liu Y (2019) Mass spectrometry-based metabolomics approach to reveal differential compounds in pufferfish soups: Flavor, nutrition, and safety. Food Chem 301:125261

4. Carolyn FS (2003) Growth and nutrient use of ericaceous plants grown in media amended with sphagnum moss peat or coir dust. Hortscience 38:46–54

5. Chen HZ, Liu ZY, Cai K, Xu LL, Chen A (2018) Grid search parametric optimization for FT-NIR quantitative analysis of solid soluble content in strawberry samples. Vib Spectrosc 94:7–15

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