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; TREVISAN, Lucas Renato; GOMES, Tamara M; ROSSI, Fabrício. Use of digital images to classify leaf phosphorus content in grape tomatoes. Engenharia Agrícola, Jaboticabal, SP, v. 42, p. 1-8, 2022. Disponível em: < https://doi.org/10.1590/1809-4430-Eng.Agric.v42nepe20210147/2022 > DOI: 10.1590/1809-4430-Eng.Agric.v42nepe20210147/2022.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.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.Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v42nepe20210147/2022