Abstract
In this study, a systematic review and meta-analysis of scientific researches devoted to the assessment of the soil organic carbon content using Vis-NIR spectroscopy approaches was carried out. The meta-analysis included 134 studies published between 1986 and 2022 with a total sample of 709 values of quantitative metrics. The articles were searched in databases of scientific periodicals: RSCI, Science Direct, Scopus, Google Scholar by the key words: “Vis-NIR spectroscopy AND soil organic carbon”. In the process of meta-analysis, using the nonparametric one-sided Kraskel-Wallis variance analysis in conjunction with the nonparametric pairwise method, the presence of a statistically significant difference between the median values of the accepted quantitative metrics of the predictive power of the models (coefficient of determination (R2cv/val), root mean square error (RMSE) and the ratio of performance to deviation (RPD) comparisons. As a result, the best efficiency (from the point of view of comparing these metrics) was revealed for the method of preprocessing spectral curves, for various multidimensional data analysis approaches used, and the results of assessing the organic carbon content of soils were compared between spectroscopy in the laboratory and directly in the field.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
