Prediction of the soil organic carbon in the LUCAS soil database based on spectral clustering

Prediction of the soil organic carbon in the LUCAS soil database based on spectral clustering

The estimation of the level of the soil organic carbon (SOC) content plays an important role in assessing the soil health state. Visible and Near Infrared Diffuse Reflectance Spectroscopy (Vis-NIR DRS) is a fast and cheap tool for measuring the SOC. However, when this technology is applied on a larg...

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Bibliographic Details
Main Authors: Baoyang Liu, Baofeng Guo, Renxiong Zhuo, Fan Dai, Haoyu Chi
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2023-02-01
Series:Soil and Water Research
Subjects:
cluster analysis
regression analysis
retrieve
soil properties
vis-nir spectroscopy
Online Access:https://swr.agriculturejournals.cz/artkey/swr-202301-0006_prediction-of-the-soil-organic-carbon-in-the-lucas-soil-database-based-on-spectral-clustering.php

Internet

https://swr.agriculturejournals.cz/artkey/swr-202301-0006_prediction-of-the-soil-organic-carbon-in-the-lucas-soil-database-based-on-spectral-clustering.php

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