Improving the accuracy of soil organic carbon content prediction based on visible and near-infrared spectroscopy and machine learning

2021 ◽  
Vol 80 (8) ◽  
Author(s):  
Mingxing Xu ◽  
Xianyao Chu ◽  
Yesi Fu ◽  
Changjiang Wang ◽  
Shaohua Wu
Keyword(s):  
Machine Learning ◽  
Infrared Spectroscopy ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Organic Carbon Content ◽  
Soil Organic Carbon Content

Combination of Fractional Order Differential and Machine Learning Algorithm for Spectral Estimation of Soil Organic Carbon Content

2020 ◽  
Vol 57 (15) ◽  
pp. 153001
Author(s):  
赵启东 Zhao Qidong ◽  
葛翔宇 Ge Xiangyu ◽  
丁建丽 Ding Jianli ◽  
王敬哲 Wang Jingzhe ◽  
张振华 Zhang Zhenhua ◽  
...  
Keyword(s):  
Machine Learning ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Fractional Order ◽  
Learning Algorithm ◽  
Spectral Estimation ◽  
Organic Carbon Content ◽  
Machine Learning Algorithm ◽  
Soil Organic Carbon Content

scholarly journals 3D mapping of soil organic carbon content and soil moisture with multiple geophysical sensors and machine learning

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Tobias Rentschler ◽  
Ulrike Werban ◽  
Mario Ahner ◽  
Thorsten Behrens ◽  
Philipp Gries ◽  
...  
Keyword(s):  
Machine Learning ◽  
Soil Moisture ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Organic Carbon Content ◽  
3D Mapping ◽  
Soil Organic Carbon Content

Estimating Soil Organic Carbon Content with Visible–Near-Infrared (Vis-NIR) Spectroscopy

2014 ◽  
Vol 68 (7) ◽  
pp. 712-722 ◽  
Author(s):  
Yin Gao ◽  
Lijuan Cui ◽  
Bing Lei ◽  
Yanfang Zhai ◽  
Tiezhu Shi ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Organic Carbon Content ◽  
Soil Organic Carbon Content
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