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  • Fonte: Applied Optics. Unidades: ESALQ, IFSC

    Assuntos: ESPECTROSCOPIA, GREENING (DOENÇA DE PLANTA), LASER

    PrivadoAcesso à fonteDOIComo citar
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    • ABNT

      WETTERICH, Caio Bruno et al. Detection of Huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods. Applied Optics, v. 56, n. Ja 2017, p. 15-23, 2017Tradução . . Disponível em: https://doi.org/10.1364/AO.56.000015. Acesso em: 11 nov. 2024.
    • APA

      Wetterich, C. B., Neves, R. F. de O., Belasque Júnior, J., Ehsani, R., & Marcassa, L. G. (2017). Detection of Huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods. Applied Optics, 56( Ja 2017), 15-23. doi:10.1364/AO.56.000015
    • NLM

      Wetterich CB, Neves RF de O, Belasque Júnior J, Ehsani R, Marcassa LG. Detection of Huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods [Internet]. Applied Optics. 2017 ; 56( Ja 2017): 15-23.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1364/AO.56.000015
    • Vancouver

      Wetterich CB, Neves RF de O, Belasque Júnior J, Ehsani R, Marcassa LG. Detection of Huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods [Internet]. Applied Optics. 2017 ; 56( Ja 2017): 15-23.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1364/AO.56.000015
  • Fonte: Conference Papers. Nome do evento: Frontiers in Optics - FiO. Unidades: ESALQ, IFSC

    Assuntos: FLUORESCÊNCIA, CANCRO (DOENÇA DE PLANTA)

    Acesso à fonteDOIComo citar
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    • 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: 11 nov. 2024.
    • 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 2024 nov. 11 ] 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 2024 nov. 11 ] Available from: https://doi.org/10.1364/FIO.2015.FW5E.4
  • Fonte: Conference Paper. Nome do evento: Frontiers in Optics - FiO. Unidades: IFSC, ESALQ

    Assuntos: FLUORESCÊNCIA, DOENÇAS DE PLANTAS

    Acesso à fonteDOIComo citar
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    • ABNT

      WETTERICH, Caio Bruno e MARCASSA, Luís Gustavo e BELASQUE JÚNIOR, José. Application of computer vision technique with fluorescence imaging spectroscopy to differentiate citrus diseases. 2014, Anais.. Washington, DC: Optical Society of America - OSA, 2014. Disponível em: https://doi.org/10.1364/FIO.2014.FTu2F.2. Acesso em: 11 nov. 2024.
    • APA

      Wetterich, C. B., Marcassa, L. G., & Belasque Júnior, J. (2014). Application of computer vision technique with fluorescence imaging spectroscopy to differentiate citrus diseases. In Conference Paper. Washington, DC: Optical Society of America - OSA. doi:10.1364/FIO.2014.FTu2F.2
    • NLM

      Wetterich CB, Marcassa LG, Belasque Júnior J. Application of computer vision technique with fluorescence imaging spectroscopy to differentiate citrus diseases [Internet]. Conference Paper. 2014 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1364/FIO.2014.FTu2F.2
    • Vancouver

      Wetterich CB, Marcassa LG, Belasque Júnior J. Application of computer vision technique with fluorescence imaging spectroscopy to differentiate citrus diseases [Internet]. Conference Paper. 2014 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1364/FIO.2014.FTu2F.2
  • Fonte: Journal of Spectroscopy. Unidades: ESALQ, IFSC

    Assuntos: CLOROFILA, FLUORESCÊNCIA

    Acesso à fonteDOIComo citar
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    • ABNT

      WETTERICH, Caio B. et al. Observation of climacteric-like behavior of citrus leaves using fluorescence spectroscopy. Journal of Spectroscopy, v. 2014, p. 841450-1-6841450-6, 2014Tradução . . Disponível em: https://doi.org/10.1155/2014/841450. Acesso em: 11 nov. 2024.
    • APA

      Wetterich, C. B., Lins, E. C., Belasque Júnior, J., & Marcassa, L. G. (2014). Observation of climacteric-like behavior of citrus leaves using fluorescence spectroscopy. Journal of Spectroscopy, 2014, 841450-1-6841450-6. doi:10.1155/2014/841450
    • NLM

      Wetterich CB, Lins EC, Belasque Júnior J, Marcassa LG. Observation of climacteric-like behavior of citrus leaves using fluorescence spectroscopy [Internet]. Journal of Spectroscopy. 2014 ; 2014 841450-1-6841450-6.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1155/2014/841450
    • Vancouver

      Wetterich CB, Lins EC, Belasque Júnior J, Marcassa LG. Observation of climacteric-like behavior of citrus leaves using fluorescence spectroscopy [Internet]. Journal of Spectroscopy. 2014 ; 2014 841450-1-6841450-6.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1155/2014/841450

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