Estimation of Soil Organic Carbon Content using Visible Near Infrared Reflectance Spectroscopy: A Review

DnyaneshwarD Karale, Dr. Ratnadeep and R. Deshmukh

Abstract


Nowadays, the world is highly dependent on the food production. As a result, food production highly depends on the soil quality. So, knowledge about soil quality along with its components should be known. Organic carbon is an important component in soil as it plays an essential role in important functions. Soil Organic Carbon (SOC) has impact over different physical, compound and organic procedures. It also effects considerably on the interaction between soil and plants. The Visible and Near Infrared (Vis-NIR) reflectance spectroscopy with spectral resolution of 350–2500 nm procedure has been considered as a strategy with fast and minimal effort to determine SOC content. Partial Least Square Regression (PLSR) quantitatively derives information which is an important method from reflectance spectral data. PLSR is the mostly used statistical method for determining SOC contents obtained from the spectral data. This research is based on the estimation of soil organic carbon content using Visible Near Infrared Scpectroscopy.

Keywords


Partial Least Square Regression, Soil Organic Carbon, Spectral Data, Vis-NIR.

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DOI: https://doi.org/10.26483/ijarcs.v8i5.3948

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