Use of digital images to classify leaf phosphorus content in grape tomatoes (2022)
Source: Engenharia Agrícola. Unidades: FZEA, ESALQ
Subjects: DIAGNOSE FOLIAR, FÓSFORO, IMAGEM DIGITAL, NUTRIÇÃO VEGETAL, REDES NEURAIS, TOMATE, VISÃO COMPUTACIONAL
ABNT
MAGALHÃES, Leonardo Pinto de et al. Use of digital images to classify leaf phosphorus content in grape tomatoes. Engenharia Agrícola, v. 42, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1590/1809-4430-Eng.Agric.v42nepe20210147/2022. Acesso em: 10 set. 2024.APA
Magalhães, L. P. de, Trevisan, L. R., Gomes, T. M., & Rossi, F. (2022). Use of digital images to classify leaf phosphorus content in grape tomatoes. Engenharia Agrícola, 42, 1-8. doi:10.1590/1809-4430-Eng.Agric.v42nepe20210147/2022NLM
Magalhães LP de, Trevisan LR, Gomes TM, Rossi F. Use of digital images to classify leaf phosphorus content in grape tomatoes [Internet]. Engenharia Agrícola. 2022 ;42 1-8.[citado 2024 set. 10 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v42nepe20210147/2022Vancouver
Magalhães LP de, Trevisan LR, Gomes TM, Rossi F. Use of digital images to classify leaf phosphorus content in grape tomatoes [Internet]. Engenharia Agrícola. 2022 ;42 1-8.[citado 2024 set. 10 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v42nepe20210147/2022