Zobrazeno 1 - 10
of 15
pro vyhledávání: '"V. I. Pichura"'
Publikováno v:
Bìoresursi ì prirodokoristuvannâ. 10:44-57
Publikováno v:
Russian Agricultural Sciences. 43:157-161
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,
Autor:
S. V. Skok, V. I. Pichura
Publikováno v:
Naukovì dopovìdì Nacìonalʹnogo unìversitetu bìoresursiv ì prirodokoristuvannâ Ukraïni.
Autor:
V. I. Pichura
Publikováno v:
Bìoresursi ì prirodokoristuvannâ. 9:24-36
Autor:
V. I. Pichura
Publikováno v:
Bìoresursi ì prirodokoristuvannâ. 8:26-38
Publikováno v:
Russian Agricultural Sciences. 42:444-448
The aim of this research was to identify long-term changes in the material composition of arable and fallow lands in the agricultural district of an ancient center in the Northern Black Sea region. Geochemical features of changes in the upper mineral
Autor:
Fedor Lisetskii, V. I. Pichura
Publikováno v:
Russian Agricultural Sciences. 42:155-159
Simulation of changes in energy costs of soil formation during the period of irrigation reclamation in the steppe zone has been performed using Wavelets analysis. A method has been proposed for the evaluation of natural-anthropogenic soil-forming pro
Autor:
V. I. Pichura, Fedor Lisetskii
Publikováno v:
CATENA. 187:104300
The ‘catena concept’, along with previously proposed meanings of this term, has recently acquired a soil evolutionary content. The prospects of wider special and chronological study of dated pedotopocatenas include the possibility of a more detai
Publikováno v:
Data in Brief
Palaeogeographic markers can be justified among a large number of geochemical indicators in separate layers of pedosediments. This determines the need to develop a system of most information-rich pedogenetic indicators for reconstruction of the dynam
Forecasting of the Dnieper River Lower Reach Hydro/chemical Regime with Neuro/techniques Application
Publikováno v:
Water sector of Russia: problems, technologies, management. :20-32
This article presents the results of research and practical application of intellectual systems for predicting the hydro/chemical conditions of the Lower Dnieper area through neuro/technologies. Nonlinear multilayer artificial neural networks for the