Use of digital images to identify zinc levels in maize (2013)
- Authors:
- USP affiliated authors: LUZ, PEDRO HENRIQUE DE CERQUEIRA - FZEA ; HERLING, VALDO RODRIGUES - FZEA ; BRUNO, ODEMIR MARTINEZ - IFSC
- Unidades: FZEA; IFSC
- Subjects: ZINCO; MILHO; IMAGEM DIGITAL
- Language: Inglês
- Imprenta:
- Publisher place: Tampa, Florida
- Date published: 2013
- Source:
- Conference titles: ASA-CSSA-SSSA International Annual Meetings
-
ABNT
LUZ, Pedro Henrique de Cerqueira et al. Use of digital images to identify zinc levels in maize. 2013, Anais.. Tampa, Florida: Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, 2013. . Acesso em: 24 jan. 2026. -
APA
Luz, P. H. de C., Marin, M. A., Silva, F. de F. da, Romualdo, L. M., Herling, V. R., Pateis, U. H. B., et al. (2013). Use of digital images to identify zinc levels in maize. In Abstracts: Water, food, energy and innovation for a sustainable world. Tampa, Florida: Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo. -
NLM
Luz PH de C, Marin MA, Silva F de F da, Romualdo LM, Herling VR, Pateis UHB, Bruno OM, Zuñiga AG. Use of digital images to identify zinc levels in maize. Abstracts: Water, food, energy and innovation for a sustainable world. 2013 ;[citado 2026 jan. 24 ] -
Vancouver
Luz PH de C, Marin MA, Silva F de F da, Romualdo LM, Herling VR, Pateis UHB, Bruno OM, Zuñiga AG. Use of digital images to identify zinc levels in maize. Abstracts: Water, food, energy and innovation for a sustainable world. 2013 ;[citado 2026 jan. 24 ] - Artificial vision system for the identification of sulfur nutrition of corn plants
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