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| Maione,Camila; Araujo,Eloá Moura; Santos-Araujo,Sabrina Novaes dos; Boim,Alexys Giorgia Friol; Barbosa,Rommel Melgaço; Alleoni,Luís Reynaldo Ferracciú. |
| ABSTRACT Lettuce (Lactuca sativa) is the main leafy vegetable produced in Brazil. Since its production is widespread all over the country, lettuce traceability and quality assurance is hampered. In this study, we propose a new method to identify the geographical origin of Brazilian lettuce. The method uses a powerful data mining technique called support vector machines (SVM) applied to elemental composition and soil properties of samples analyzed. We investigated lettuce produced in São Paulo and Pernambuco, two states in the southeastern and northeastern regions in Brazil, respectively. We investigated efficiency of the SVM model by comparing its results with those achieved by traditional linear discriminant analysis (LDA). The SVM models outperformed the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: ICP–OES; Traceability; Tropical soils; Heavy metals; Feature selection. |
| Ano: 2022 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000100901 |
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