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Vol. 12, Issue 7 (2023)

Remote sensing based estimation of soil organic matter: A review

Author(s):
S Sridevy, M Nivas Raj, K Sivakumar, R Ravikumar, P Kumaresan, N Balakrishnan, M Tilak, J Arockia Stephen Raj and P Jona Innisai Rani
Abstract:
Investigating the SOM content is tedious and time-consuming. Each of the techniques employed for the assessment have its own constraints and advantages over the other techniques. These techniques range from the analytical experiments to long-term experiments with modelling procedures. (i.e.) employing geostatistical and ML algorithms. As the spatial variability of the soil is wide and complex besides the atmospheric conditions, achieving a homogeneous estimation of the SOM is difficult but considered indispensable in determining the soil health. Analytical means of precise SOM estimation are subjected to the sample SOM degradation and requirement of the high-cost reagents and equipment. Techniques for indirect measurement of SOM utilizing soil organic carbon through pedotransfer function also prevails. Spectroscopy based soil properties estimation are considered valuable for its heterogenous and site-specific assessment through training and validation. The assessment of SOM helps in site-specific and variable rate application of the remedials in the field and helps in maintaining the environmental sustainability and preventing fertilizer loads in the soil. This paper provides a comprehensive review on the selective analytical and spectroscopy means of SOM estimation and its influence over the other soil nutrient properties.
Pages: 3268-3275  |  333 Views  259 Downloads


The Pharma Innovation Journal
How to cite this article:
S Sridevy, M Nivas Raj, K Sivakumar, R Ravikumar, P Kumaresan, N Balakrishnan, M Tilak, J Arockia Stephen Raj, P Jona Innisai Rani. Remote sensing based estimation of soil organic matter: A review. Pharma Innovation 2023;12(7):3268-3275.

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