Evaluation of the artificial vision system to diagnose potassium status in maize plants (2014)
Romualdo, Liliane Maria; Luz, Pedro Henrique de Cerqueira; Silva, Fernanda de Fátima da; Marin, Mário Antônio; Herling, Valdo Rodrigues; Bruno, Odemir Martinez 
; Zuniga, Alvaro Gomez
Fonte: Technological advancement for vibrant agriculture. Unidades: FZEA, IFSC
Assuntos: MILHO, POTÁSSIO, METABOLISMO VEGETAL, NUTRIÇÃO VEGETAL
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ROMUALDO, Liliane Maria et al. Evaluation of the artificial vision system to diagnose potassium status in maize plants. Technological advancement for vibrant agriculture. Tradução . Athens: Athens Institute for Education and Research, 2014. . . Acesso em: 10 nov. 2024.APA
Romualdo, L. M., Luz, P. H. de C., Silva, F. de F. da, Marin, M. A., Herling, V. R., Bruno, O. M., & Zuniga, A. G. (2014). Evaluation of the artificial vision system to diagnose potassium status in maize plants. In Technological advancement for vibrant agriculture. Athens: Athens Institute for Education and Research.NLM
Romualdo LM, Luz PH de C, Silva F de F da, Marin MA, Herling VR, Bruno OM, Zuniga AG. Evaluation of the artificial vision system to diagnose potassium status in maize plants. In: Technological advancement for vibrant agriculture. Athens: Athens Institute for Education and Research; 2014. [citado 2024 nov. 10 ]Vancouver
Romualdo LM, Luz PH de C, Silva F de F da, Marin MA, Herling VR, Bruno OM, Zuniga AG. Evaluation of the artificial vision system to diagnose potassium status in maize plants. In: Technological advancement for vibrant agriculture. Athens: Athens Institute for Education and Research; 2014. [citado 2024 nov. 10 ]
