Cite
Support vector machine and PCA for the exploratory analysis of Salvia officinalis samples treated with growth regulators based in the agronomic parameters and multielement composition.
MLA
Moreira, Gisele C., et al. “Support Vector Machine and PCA for the Exploratory Analysis of Salvia Officinalis Samples Treated with Growth Regulators Based in the Agronomic Parameters and Multielement Composition.” Food Chemistry, vol. 373, Mar. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.foodchem.2021.131345.
APA
Moreira, G. C., Carneiro, C. N., dos Anjos, G. L., da Silva, F., Santos, J. L. O., & Dias, F. de S. (2022). Support vector machine and PCA for the exploratory analysis of Salvia officinalis samples treated with growth regulators based in the agronomic parameters and multielement composition. Food Chemistry, 373, N.PAG. https://doi.org/10.1016/j.foodchem.2021.131345
Chicago
Moreira, Gisele C., Candice N. Carneiro, Gilvanda L. dos Anjos, Franceli da Silva, Jorge L.O. Santos, and Fabio de S. Dias. 2022. “Support Vector Machine and PCA for the Exploratory Analysis of Salvia Officinalis Samples Treated with Growth Regulators Based in the Agronomic Parameters and Multielement Composition.” Food Chemistry 373 (March): N.PAG. doi:10.1016/j.foodchem.2021.131345.