Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Odunayo David Adeniyi"'
Publikováno v:
Geoderma, Vol 448, Iss , Pp 116953- (2024)
Soil organic carbon (SOC) plays a crucial role in the global carbon cycle and in maintaining soil functions in the context of land use and climate change. Understanding the spatial distribution of SOC is essential for the management of agricultural l
Externí odkaz:
https://doaj.org/article/c99d890cb0bd4d99a9fa2a6de32e6703
Publikováno v:
Land, Vol 13, Iss 3, p 379 (2024)
Digital soil mapping (DSM) around the world is mostly conducted in areas with a certain relief characterized by significant heterogeneities in soil-forming factors. However, lowland areas (e.g., plains, low-relief areas), prevalently used for agricul
Externí odkaz:
https://doaj.org/article/f17ab5a51a084abeade623c6bea7edd8
Publikováno v:
Land, Vol 12, Iss 2, p 494 (2023)
Sustainable agricultural landscape management needs reliable and accurate soil maps and updated geospatial soil information. Recently, machine learning (ML) models have commonly been used in digital soil mapping, together with limited data, for vario
Externí odkaz:
https://doaj.org/article/7367aa79d69b47d48734d28a9e769247
Publikováno v:
Agronomy, Vol 11, Iss 4, p 652 (2021)
Due to the increasing global demand of food grain, early and reliable information on crop production is important in decision making in agricultural production. Remote sensing (RS)-based forecast models developed from vegetation indices have the pote
Externí odkaz:
https://doaj.org/article/7043401f41194a268f92a80bb64f4236
Autor:
Odunayo David Adeniyi, Michael Maerker
Mapping soil classes to retrieve information for specific soil management strategies according to capabilities and limitations of soil types is an important and very useful application of Digital Soil Mapping (DSM). DSM involves the application of ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e61268dc8a75fde0247537e2e15e7a6b
https://doi.org/10.5194/egusphere-egu23-16483
https://doi.org/10.5194/egusphere-egu23-16483
Publikováno v:
Acta Horticulturae et Regiotecturae. 24:12-15
The active biomass of cultivated plants and average yield decreases as a result of biotic and abiotic stress effect. The extent of the reduction can be quantified on the basis of remotely sensed data. The aim of this research is to evaluate the suita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c7bd39bb9b0bdc385b9a1dcd6104fa8
https://doi.org/10.2478/ahr-2021-0003
https://doi.org/10.2478/ahr-2021-0003
Sustainable agricultural landscape management needs reliable and accurate soil maps and updated geospatial soil information. The traditional process of soil surveying is time-consuming and limited in terms of accuracy and spatial distribution. This p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50628897c97cc1f5b3c3dde6d27cbf8d
https://doi.org/10.5194/egusphere-egu22-8560
https://doi.org/10.5194/egusphere-egu22-8560
The chapter mainstreamed Soil Management and Conservation approach as a potent remedy for Soil Contamination. Largely, microbial activities play significant role in maintaining balance within the ecosystem however changes in Land-use has a direct inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a81246ada8be3042512f45aa806c99f6
https://doi.org/10.5772/intechopen.94526
https://doi.org/10.5772/intechopen.94526
Publikováno v:
Agronomy, Vol 11, Iss 652, p 652 (2021)
Due to the increasing global demand of food grain, early and reliable information on crop production is important in decision making in agricultural production. Remote sensing (RS)-based forecast models developed from vegetation indices have the pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::85854820439a4364889f4ef3af1e6355