Artificial vision system for the identification of sulfur nutrition of corn plants (2012)
- Authors:
- USP affiliated authors: LUZ, PEDRO HENRIQUE DE CERQUEIRA - FZEA ; HERLING, VALDO RODRIGUES - FZEA ; BRUNO, ODEMIR MARTINEZ - IFSC
- Unidades: FZEA; IFSC
- Subjects: NUTRIÇÃO VEGETAL; PROCESSAMENTO DE IMAGENS; DEFICIÊNCIAS MINERAIS DE PLANTAS; MILHO
- Language: Inglês
- Imprenta:
- Publisher place: Bari, Italy
- Date published: 2012
- Source:
- Título do periódico: Abstracts
- Conference titles: International Congress of the European Soil Science Societies (EUROSOIL 2012)
-
ABNT
LUZ, Pedro Henrique de Cerqueira et al. Artificial vision system for the identification of sulfur nutrition of corn plants. 2012, Anais.. Bari, Italy: Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, 2012. . Acesso em: 16 abr. 2024. -
APA
Luz, P. H. de C., Silva, F. de F. da, Romualdo, L. M., Marin, M. A., Herling, V. R., Bruno, O. M., & Zuniga, A. G. (2012). Artificial vision system for the identification of sulfur nutrition of corn plants. In Abstracts. Bari, Italy: Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo. -
NLM
Luz PH de C, Silva F de F da, Romualdo LM, Marin MA, Herling VR, Bruno OM, Zuniga AG. Artificial vision system for the identification of sulfur nutrition of corn plants. Abstracts. 2012 ;[citado 2024 abr. 16 ] -
Vancouver
Luz PH de C, Silva F de F da, Romualdo LM, Marin MA, Herling VR, Bruno OM, Zuniga AG. Artificial vision system for the identification of sulfur nutrition of corn plants. Abstracts. 2012 ;[citado 2024 abr. 16 ] - Identifying corn (Zea mays L.) nutritional status by artificial vision system
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