Development of a Soil Organic Matter Content Prediction Model Based on Supervised Learning Using Vis-NIR/SWIR Spectroscopy

Development of a Soil Organic Matter Content Prediction Model Based on Supervised Learning Using Vis-NIR/SWIR Spectroscopy

In the current scenario of anthropogenic climate change, carbon credit security is becoming increasingly important worldwide. Topsoil is the terrestrial ecosystem component with the largest carbon sequestration capacity. Since soil organic matter (SOM), which is mostly composed of organic carbon, an...

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Bibliographic Details
Main Authors: Min-Jee Kim, Hye-In Lee, Jae-Hyun Choi, Kyoung Jae Lim, Changyeun Mo
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
topsoil
reflectance spectroscopy
soil organic matter
partial least square regression
support vector machine regression
Online Access:https://www.mdpi.com/1424-8220/22/14/5129

Internet

https://www.mdpi.com/1424-8220/22/14/5129

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