Identifying corn (Zea mays L.) nutritional status by artificial vision system (2011)
- Authors:
- USP affiliated authors: LUZ, PEDRO HENRIQUE DE CERQUEIRA - FZEA ; HERLING, VALDO RODRIGUES - FZEA ; BRUNO, ODEMIR MARTINEZ - IFSC
- Unidades: FZEA; IFSC
- Subjects: VISÃO COMPUTACIONAL; MILHO; DEFICIÊNCIAS MINERAIS DE PLANTAS (IDENTIFICAÇÃO); INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: American Society of Agronomy/Crop Science Society of America/Soil Science Society of America
- Publisher place: San Antonio
- Date published: 2011
- Source:
- Conference titles: ASA-CSSA-SSSA International Annual Meetings
-
ABNT
SILVA, Fernanda de Fátima da et al. Identifying corn (Zea mays L.) nutritional status by artificial vision system. 2011, Anais.. San Antonio: American Society of Agronomy/Crop Science Society of America/Soil Science Society of America, 2011. . Acesso em: 24 jan. 2026. -
APA
Silva, F. de F. da, Luz, P. H. de C., Romualdo, L. M., Herling, V. R., Marin, M. A., Bruno, O. M., & Zúñiga, A. G. (2011). Identifying corn (Zea mays L.) nutritional status by artificial vision system. In Abstracts; Fundamental for life: soil, crop & environmental sciences. San Antonio: American Society of Agronomy/Crop Science Society of America/Soil Science Society of America. -
NLM
Silva F de F da, Luz PH de C, Romualdo LM, Herling VR, Marin MA, Bruno OM, Zúñiga AG. Identifying corn (Zea mays L.) nutritional status by artificial vision system. Abstracts; Fundamental for life: soil, crop & environmental sciences. 2011 ;[citado 2026 jan. 24 ] -
Vancouver
Silva F de F da, Luz PH de C, Romualdo LM, Herling VR, Marin MA, Bruno OM, Zúñiga AG. Identifying corn (Zea mays L.) nutritional status by artificial vision system. Abstracts; Fundamental for life: soil, crop & environmental sciences. 2011 ;[citado 2026 jan. 24 ] - Artificial vision system for the identification of sulfur nutrition of corn plants
- Método de avaliação nutricional e identificação de plantas cultivadas, por meio de imagens
- Use of digital images to identify zinc levels in maize
- Evaluation of the artificial vision system to diagnose potassium status in maize plants
- Identificação de deficiência de magnésio em milho através do sistema de visão artificial
- Evaluation of nutricional status of calcium in corn plants using artificial vision system
- Calcium deficiency in corn plants identified by artificial vision system
- Nutrient uptake and use of image analysis to detect nutrient deficiencies in maize subjected to the omission of NPK and Mn
- Evaluation of artificial vision system to diagnose potassium status in maize plants
- Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants
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