Abstract
Data detailed on Machine Learning have been presented. According to news reporting originating in Lima, Peru, by NewsR x journalists, research stated, "Andean highland soils contain significant quant ities of soil organic carbon (SOC); however, more efforts still need to be made to understand the processes behind the accumulation and persistence of SOC and i ts fractions. This study modeled SOC variables-SOC, refractory SOC (RSOC), and t he C-13 isotope composition of SOC (delta(CSOC)-C-13)- using machine learning (ML ) algorithms in the Central Andean Highlands of Peru, where grasslands and wetla nds (‘bofedales') dominate the landscape surrounded by Junin National Reserve." Funders for this research include Consortium of International Agricultural Resea rch Centers, USDA Foreign Agricultural Service, Borlaug Fellowship Program.
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