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: 14 mar. 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 mar. 14 ] -
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 mar. 14 ] - 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
- Identifying corn (Zea mays L.) nutritional status by artificial vision system
- 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
- 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
- Boron deficiency precisely identified on growth stage v4 of maize crop using texture image analysis
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
