Geostatistics or machine learning for mapping soil attributes and agricultural practices (2020)
Source: Revista Ceres. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, GEOESTATÍSTICA, KRIGAGEM, MAPEAMENTO DO SOLO, PRÁTICAS CULTURAIS (FITOTECNIA), SENSORIAMENTO REMOTO
ABNT
MENDES, Wanderson de Sousa; DEMATTÊ, José Alexandre Melo; BARROS, Arnaldo Sousa e; SALAZAR, Diego Fernando Urbina; AMORIM, Merilyn Taynara Accorsi. Geostatistics or machine learning for mapping soil attributes and agricultural practices. Revista Ceres, Viçosa, Universidade Federal de Viçosa, v. 67, n. 4, p. 330-336, 2020. Disponível em: < https://doi.org/10.1590/0034-737X202067040010 > DOI: 10.1590/0034-737X202067040010.APA
Mendes, W. de S., Demattê, J. A. M., Barros, A. S. e, Salazar, D. F. U., & Amorim, M. T. A. (2020). Geostatistics or machine learning for mapping soil attributes and agricultural practices. Revista Ceres, 67( 4), 330-336. doi:10.1590/0034-737X202067040010NLM
Mendes W de S, Demattê JAM, Barros AS e, Salazar DFU, Amorim MTA. Geostatistics or machine learning for mapping soil attributes and agricultural practices [Internet]. Revista Ceres. 2020 ; 67( 4): 330-336.Available from: https://doi.org/10.1590/0034-737X202067040010Vancouver
Mendes W de S, Demattê JAM, Barros AS e, Salazar DFU, Amorim MTA. Geostatistics or machine learning for mapping soil attributes and agricultural practices [Internet]. Revista Ceres. 2020 ; 67( 4): 330-336.Available from: https://doi.org/10.1590/0034-737X202067040010