Evaluation of the artificial vision system to diagnose potassium status in maize plants (2014)
- Authors:
- USP affiliated authors: LUZ, PEDRO HENRIQUE DE CERQUEIRA - FZEA ; HERLING, VALDO RODRIGUES - FZEA ; BRUNO, ODEMIR MARTINEZ - IFSC
- Unidades: FZEA; IFSC
- Subjects: MILHO; POTÁSSIO; METABOLISMO VEGETAL; NUTRIÇÃO VEGETAL
- Language: Inglês
- Imprenta:
- Publisher: Athens Institute for Education and Research
- Publisher place: Athens
- Date published: 2014
- Source:
- Título do periódico: Technological advancement for vibrant agriculture
-
ABNT
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: 23 abr. 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 abr. 23 ] -
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 abr. 23 ] - Identifying corn (Zea mays L.) nutritional status by artificial vision system
- Artificial vision system for the identification of sulfur nutrition of corn plants
- Evaluation of artificial vision system to diagnose potassium status in maize plants
- Nutrient uptake and use of image analysis to detect nutrient deficiencies in maize subjected to the omission of NPK and Mn
- Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants
- A diagnostic tool for magnesium nutrition in maize based on image analysis of different leaf sections
- Identificação de deficiência de magnésio em milho através do sistema de visão artificial
- Brachiaria species identification using imaging techniques based on fractal descriptors
- Evaluation of nutricional status of calcium in corn plants using artificial vision system
- Calcium deficiency in corn plants identified by artificial vision system
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
