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Number of results

Journal

Geodesy and Cartography

2021 | 70 | 1 |

Article title

High-resolution soil erodibility K-factor estimation using machine learning generated soil dataset and soil pH levels

Authors

Nurlan Mammadli , Magsad Gojamanov , Nurlan Mammadli , Magsad Gojamanov

Content

Full texts:
oai-journals-pan-pl-120363/full-text/04_Mammadli_Gojamanov.pdf
oai-journals-pan-pl-120363/full-text/04_Mammadli_Gojamanov.pdf
oai-journals-pan-pl-120363/full-text/04_Mammadli_Gojamanov.pdf

Title variants

PL
High-resolution soil erodibility K-factor estimation using machine learning generated soil dataset and soil pH levels

Languages of publication

EN

Abstracts

Keywords

EN
PL

Publisher

Polska Akademia Nauk

Journal

Geodesy and Cartography

Year

2021

Volume

70

Issue

1

Physical description

Contributors

author
Nurlan Mammadli
author
Magsad Gojamanov
author
Nurlan Mammadli
author
Magsad Gojamanov

References

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.oai-journals-pan-pl-120363
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