Detection of citrus canker and huanglongbing using fluorescence imaging spectroscopy (FIS) technique and two different computational methods: support vector machine and neural network (2015)
- Authors:
- USP affiliated authors: BELASQUE JÚNIOR, JOSÉ - ESALQ ; MARCASSA, LUIS GUSTAVO - IFSC
- Unidades: ESALQ; IFSC
- DOI: 10.1364/FIO.2015.FW5E.4
- Subjects: FLUORESCÊNCIA; CANCRO (DOENÇA DE PLANTA)
- Language: Inglês
- Imprenta:
- Publisher: Optical Society of America - OSA
- Publisher place: Washington, DC
- Date published: 2015
- Source:
- Título: Conference Papers
- Conference titles: Frontiers in Optics - FiO
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
WETTERICH, Caio Bruno et al. Detection of citrus canker and huanglongbing using fluorescence imaging spectroscopy (FIS) technique and two different computational methods: support vector machine and neural network. 2015, Anais.. Washington, DC: Optical Society of America - OSA, 2015. Disponível em: https://doi.org/10.1364/FIO.2015.FW5E.4. Acesso em: 27 fev. 2026. -
APA
Wetterich, C. B., Neves, R. F. de O., Belasque Júnior, J., & Marcassa, L. G. (2015). Detection of citrus canker and huanglongbing using fluorescence imaging spectroscopy (FIS) technique and two different computational methods: support vector machine and neural network. In Conference Papers. Washington, DC: Optical Society of America - OSA. doi:10.1364/FIO.2015.FW5E.4 -
NLM
Wetterich CB, Neves RF de O, Belasque Júnior J, Marcassa LG. Detection of citrus canker and huanglongbing using fluorescence imaging spectroscopy (FIS) technique and two different computational methods: support vector machine and neural network [Internet]. Conference Papers. 2015 ;[citado 2026 fev. 27 ] Available from: https://doi.org/10.1364/FIO.2015.FW5E.4 -
Vancouver
Wetterich CB, Neves RF de O, Belasque Júnior J, Marcassa LG. Detection of citrus canker and huanglongbing using fluorescence imaging spectroscopy (FIS) technique and two different computational methods: support vector machine and neural network [Internet]. Conference Papers. 2015 ;[citado 2026 fev. 27 ] Available from: https://doi.org/10.1364/FIO.2015.FW5E.4 - Application of computer vision technique with fluorescence imaging spectroscopy to differentiate citrus diseases
- Detection of Huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods
- Observation of climacteric-like behavior of citrus leaves using fluorescence spectroscopy
- Concentração de inóculo e método de inoculação de Xanthomonas axonopodis pv. Citri
- CitrusKB: a comprehensive knowledge base for transcriptome and interactome of Citrus spp. infected by Xanthomonas citri subsp. citri at different infection stages
- Panorama atual de doenças procarióticas em citros no Brasil
- Influência do Huanglongbing na qualidade físico-química e na produção de frutos de limão
- Cancro cítrico: a doença e seu controle
- Reaction of detached leaves from different varieties of sweet orange to inoculation with Xanthomonas citri subsp. citri
- A comprehensive analysis of the Asiatic citrus canker eradication programme in São Paulo state, Brazil, from 1999 to 2009
Informações sobre o DOI: 10.1364/FIO.2015.FW5E.4 (Fonte: oaDOI API)
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