Igor Yu Savin
Biographic Data
| ID | 9849887 |
|---|---|
| NAME | Igor Yu Savin |
| GIVEN NAMES | Igor Yu |
| FAMILY NAME | Savin |
| SIGNATURE | SAVIN I Y |
| AFFILIATIONS | Peoples' Friendship University of Russia |
| ORCID | 0000-0002-8739-5441 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 0 |
Soil carbon 4 per mille
The ‘4 per mille Soils for Food Security and Climate’ was launched at the COP21 with an aspiration to increase global soil organic matter stocks by 4 per 1000 (or 0.4 %) per year as a compensation for the global emissions of greenhouse gases by anthropogenic sources. This paper surveyed the soil organic carbon (SOC) stock estimates and sequestration potentials from 20 regions in the world (New Zealand, Chile, South Africa, Australia, Tanzania, In…
Soil Mapping Based on Globally Optimal Decision Trees and Digital Imitations of Traditional Approaches
Most digital soil mapping (DSM) approaches aim at complete statistical model extraction. The value of the explicit rules of soil delineation formulated by soil-mapping experts is often underestimated. These rules can be used for expert testing of the notional consistency of soil maps, soil trend prediction, soil geography investigations, and other applications. We propose an approach that imitates traditional soil mapping by constructing compact …
No prominent works on this page.
Soil carbon 4 per mille
The ‘4 per mille Soils for Food Security and Climate’ was launched at the COP21 with an aspiration to increase global soil organic matter stocks by 4 per 1000 (or 0.4 %) per year as a compensation for the global emissions of greenhouse gases by anthropogenic sources. This paper surveyed the soil organic carbon (SOC) stock estimates and sequestration potentials from 20 regions in the world (New Zealand, Chile, South Africa, Australia, Tanzania, In…
Soil Mapping Based on Globally Optimal Decision Trees and Digital Imitations of Traditional Approaches
Most digital soil mapping (DSM) approaches aim at complete statistical model extraction. The value of the explicit rules of soil delineation formulated by soil-mapping experts is often underestimated. These rules can be used for expert testing of the notional consistency of soil maps, soil trend prediction, soil geography investigations, and other applications. We propose an approach that imitates traditional soil mapping by constructing compact …
Environmental Science (2 works) · Mathematics (2 works) · Soil water (2 works) · Artificial Intelligence (1 work) · Bioenergy crop production and management (1 work) · Carbon fibers (1 work) · Cartography (1 work) · Computer Science (1 work) · Data mining (1 work) · Decision tree (1 work)