Machine learning methods in soil fertility forecasting
Geoecology and Nature Management Department, Federal State Budgetary Educational Institution of Higher Education State University of Land Use Planning, Moscow; V. V. Vershinin; D. A. Shapovalov; Higher Mathematics, Physics and Computer Science Department, Federal State Budgetary Educational Institution of Higher Education State University of Land Use Planning, Moscow; N. M. Pochyomin; Geoecology and Nature Management Department, Federal State Budgetary Educational Institution of Higher Education State University of Land Use Planning, Moscow; G. G. Morkovkin; Geoecology and Nature Management Department, Federal State Budgetary Educational Institution of Higher Education State University of Land Use Planning, Moscow
- Published
- Publisher
- PANORAMA Publishing House
- Journal / collection
- Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring)
- Research area
- AI & compute
- Source type
- Journal article
- DOI
- 10.33920/sel-04-2501-04
The original publisher provides the full text and its access options.
Cite this source
Geoecology and Nature Management Department, Federal State Budgetary Educational Institution of Higher Education State University of Land Use Planning, Moscow; V. V. Vershinin; D. A. Shapovalov; Higher Mathematics, Physics and Computer Science Department, Federal State Budgetary Educational Institution of Higher Education State University of Land Use Planning, Moscow; N. M. Pochyomin; Geoecology and Nature Management Department, Federal State Budgetary Educational Institution of Higher Education State University of Land Use Planning, Moscow; G. G. Morkovkin; Geoecology and Nature Management Department, Federal State Budgetary Educational Institution of Higher Education State University of Land Use Planning, Moscow. Machine learning methods in soil fertility forecasting. Zemleustrojstvo, kadastr i monitoring zemel' (Land management, cadastre and land monitoring). 2025-01-20. https://doi.org/10.33920/sel-04-2501-04