http://dspace.bsu.edu.ru/handle/123456789/19843| Title: | Use of geoinformation and neurotechnology to assess and to forecast the humus content variations in the steppe soils |
| Authors: | Lisetskii, F. N. Pichura, V. I. Breus, D. S. |
| Keywords: | agriculture pedology soil fertility humus modeling forecasting multivariate statistics GIS technologies neurotechnologies |
| Issue Date: | 2017 |
| Citation: | Lisetskii, F. N. Use of geoinformation and neurotechnology to assess and to forecast the humus content variations in the steppe soils / F. N. Lisetskii, V. I. Pichura, D. S. Breus // Russian agricultural sciences. - 2017. - Vol. 3, №2.-P. 157-161. |
| Abstract: | This paper reports the results obtained using the systemic basin approach, geoinformation, and neurotechnology for modeling and forecasting of the humus spatial inhomogeneity and content variations in the steppe and dry steppe zones (Kherson oblast, Ukraine) |
| URI: | http://dspace.bsu.edu.ru/handle/123456789/19843 |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Lisetskii_Use of.pdf | 653.28 kB | Adobe PDF | View/Open |
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