Source: Scientia Agricola. Unidade: ESALQ
Subjects: ALFACE, APRENDIZADO COMPUTACIONAL, ESPECTROMETRIA, MICRONUTRIENTES, MINERAÇÃO DE DADOS, SOLO TROPICAL
ABNT
MAIONE, Camila; BARBOSA, Rommel Melgaço; ALLEONI, Luís Reynaldo Ferracciú; et al. Determining the geographical origin of lettuce with data mining applied to micronutrients and soil properties. Scientia Agricola, Piracicaba, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, v. 79, n. 1, p. 1-15, 2022. Disponível em: < https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000100901&tlng=en > DOI: doi.org/10.1590/1678-992x-2020-0011.APA
Maione, C., Barbosa, R. M., Alleoni, L. R. F., Araujo, E. M., Santos-Araujo, S. N. dos, & Boim, A. G. F. (2022). Determining the geographical origin of lettuce with data mining applied to micronutrients and soil properties. Scientia Agricola, 79( 1), 1-15. doi:doi.org/10.1590/1678-992x-2020-0011NLM
Maione C, Barbosa RM, Alleoni LRF, Araujo EM, Santos-Araujo SN dos, Boim AGF. Determining the geographical origin of lettuce with data mining applied to micronutrients and soil properties [Internet]. Scientia Agricola. 2022 ; 79( 1): 1-15.Available from: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000100901&tlng=enVancouver
Maione C, Barbosa RM, Alleoni LRF, Araujo EM, Santos-Araujo SN dos, Boim AGF. Determining the geographical origin of lettuce with data mining applied to micronutrients and soil properties [Internet]. Scientia Agricola. 2022 ; 79( 1): 1-15.Available from: https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162022000100901&tlng=en