Source: Journal of Tekirdag Agricultural Faculty - Tekirdağ Ziraat Fakültesi Dergisi. Unidade: ESALQ
Subjects: GERMINAÇÃO DE SEMENTES, ALFACE, ESPECTROMETRIA, IMAGEM DIGITAL, VISÃO COMPUTACIONAL
ABNT
SAMBONI, Heiber Andres Trujillo et al. Hyperspectral imaging and machine learning for assessing the germination of hydroprimed lettuce seeds. Journal of Tekirdag Agricultural Faculty - Tekirdağ Ziraat Fakültesi Dergisi, v. 23, n. 1, p. 56-100, 2026Tradução . . Disponível em: https://doi.org/10.33462/jotaf.1586666. Acesso em: 05 abr. 2026.APA
Samboni, H. A. T., Velasquez Vasconez, P. A., Alves, R. M., Iost Filho, F. H., & Gomes-Junior, F. G. (2026). Hyperspectral imaging and machine learning for assessing the germination of hydroprimed lettuce seeds. Journal of Tekirdag Agricultural Faculty - Tekirdağ Ziraat Fakültesi Dergisi, 23( 1), 56-100. doi:10.33462/jotaf.1586666NLM
Samboni HAT, Velasquez Vasconez PA, Alves RM, Iost Filho FH, Gomes-Junior FG. Hyperspectral imaging and machine learning for assessing the germination of hydroprimed lettuce seeds [Internet]. Journal of Tekirdag Agricultural Faculty - Tekirdağ Ziraat Fakültesi Dergisi. 2026 ; 23( 1): 56-100.[citado 2026 abr. 05 ] Available from: https://doi.org/10.33462/jotaf.1586666Vancouver
Samboni HAT, Velasquez Vasconez PA, Alves RM, Iost Filho FH, Gomes-Junior FG. Hyperspectral imaging and machine learning for assessing the germination of hydroprimed lettuce seeds [Internet]. Journal of Tekirdag Agricultural Faculty - Tekirdağ Ziraat Fakültesi Dergisi. 2026 ; 23( 1): 56-100.[citado 2026 abr. 05 ] Available from: https://doi.org/10.33462/jotaf.1586666
