Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Alessandro Samuel-Rosa"'
Autor:
Aline Mari Huf dos Reis, Wenceslau Geraldes Teixeira, Ademir Fontana, Alexandre Hugo Cezar Barros, Daniel de Castro Victoria, Gustavo Mattos Vasques, Alessandro Samuel-Rosa, Marta Vasconcelos Ottoni, José Eduardo Boffino de Almeida Monteiro
Publikováno v:
Scientia Agricola, Vol 81 (2023)
ABSTRACT Bulk density (BD) is a soil physical property used as a soil quality indicator and variations in this measurement influence soil water content and carbon stock estimates. This study aims to compile a database of samples of bulk density, text
Externí odkaz:
https://doaj.org/article/ab1bf62d859b44a99e2d90ab20d314b1
Publikováno v:
Scientia Agricola, Vol 78, Iss 4 (2020)
ABSTRACT The method used to sample the runoff collected from soil erosion plots can be a significant source of error. In this study, we performed a laboratory experiment to evaluate the efficiency of the runoff sampling method most commonly used in B
Externí odkaz:
https://doaj.org/article/85314d4ef079428aa85df3b086bcd193
Autor:
Ricardo Simão Diniz Dalmolin, Jean Michel Moura-Bueno, Alessandro Samuel-Rosa, Carlos Alberto Flores
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 44 (2020)
ABSTRACT The use of new technologies, the development of new software, and the advances in the machines ability to process data have brought a new perspective to soil science and especially to pedology, with the advent of digital soil mapping (DSM).
Externí odkaz:
https://doaj.org/article/b868e8a2b88844a7be826905def0647a
Autor:
Alessandro Samuel-Rosa, Ricardo Simão Diniz Dalmolin, Pablo Miguel, Jovani Zalamena, Deborah Pinheiro Dick
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 37, Iss 5, Pp 1236-1244 (2013)
The assessment of soil quality is based on indicators and indices derived from soil properties. However, intrinsic soil properties may interfere with other soil properties that vary under different land uses and are used to calculate the indices. The
Externí odkaz:
https://doaj.org/article/070daffc6ea24716afd9658f70128e64
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 37, Iss 2, Pp 422-430 (2013)
Is it possible to build predictive models (PMs) of soil particle-size distribution (psd) in a region with complex geology and a young and unstable land-surface? The main objective of this study was to answer this question. A set of 339 soil samples f
Externí odkaz:
https://doaj.org/article/04ab7e61a56b4452b8b3e60c075199ed
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 36, Iss 1, Pp 1-9 (2012)
Trabalhos têm apontado demandas em relação ao conhecimento da variação pedológica de Argissolos. Essa variação pode ser analisada pela estatística multivariada - também responsável pela classificação numérica dos dados. A comparação e
Externí odkaz:
https://doaj.org/article/5a08e2e242f748f78f7c51c89b737164
Autor:
Tomislav Hengl, Jorge Mendes de Jesus, Robert A MacMillan, Niels H Batjes, Gerard B M Heuvelink, Eloi Ribeiro, Alessandro Samuel-Rosa, Bas Kempen, Johan G B Leenaars, Markus G Walsh, Maria Ruiperez Gonzalez
Publikováno v:
PLoS ONE, Vol 9, Iss 8, p e105992 (2014)
BACKGROUND: Soils are widely recognized as a non-renewable natural resource and as biophysical carbon sinks. As such, there is a growing requirement for global soil information. Although several global soil information systems already exist, these te
Externí odkaz:
https://doaj.org/article/4295e93a62594ef58109fd7997772645
Publikováno v:
Ciência e Agrotecnologia, Vol 42, Iss 6, Pp 608-622
ABSTRACT Digital elevation models (DEM) used in digital soil mapping (DSM) are commonly selected based on measures and indicators (quality criteria) that are thought to reflect how well a given DEM represents the terrain surface. The hypothesis is th
Externí odkaz:
https://doaj.org/article/df86d5fe003a49068bea18eeaa4ad83f
Autor:
Alessandro Samuel-Rosa, Ricardo Simão Diniz Dalmolin, Jean Michel Moura-Bueno, Wenceslau Geraldes Teixeira, José Maria Filippini Alba
Publikováno v:
Scientia Agricola, Vol 77, Iss 1
ABSTRACT: Spatial soil data applications require sound geospatial data including coordinates and a coordinate reference system. However, when it comes to legacy soil data we frequently find them to be missing or incorrect. This paper assesses the qua
Externí odkaz:
https://doaj.org/article/0634955b672d42f3aff89978b3e4f884
Autor:
Alessandro Samuel-Rosa, Maiara Pusch, Lucas Amaral, Paulo Graziano Magalhães, Agda Loureiro Goncalves Oliveira
Publikováno v:
Precision Agriculture. 23:1575-1603