Patents by Inventor Ana Flavia Zaghi

Ana Flavia Zaghi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method, apparatus and system for diagnosis of stress and disease in higher plants
    Patent number: 9116125
    Abstract: The present invention relates to a method, apparatus and a system of fast diagnosis of stresses and diseases in higher plants. The proposed methodology is based on the hypothesis of that when a plant is in imbalance; there are changes in its metabolism that render an alteration of the chemical composition of its organs. This chemical alteration leads to a change in the physical properties, such as the fluorescence of the leaves. Due to the complexity of the material of the leaves, the present method proposes that the signal be treated with statistical methods and that the classification is made through softwares based on machine learning. As an example of the application of the invention, the results are shown for the Greening disease in citrus.
    Type: Grant
    Filed: October 14, 2009
    Date of Patent: August 25, 2015
    Assignee: EMPRESA BRASILEIRA DE PESQUISA AGROPECUARIA—EMBRAPA
    Inventors: Debora Marcondes Bastos Pereira Milori, Ladislau Martin Neto, Ednaldo Jose Ferreira, Ana Flavia Zaghi, Andre Leonardo Venancio
  • METHOD, APPARATUS AND SYSTEM FOR DIAGNOSIS OF STRESS AND DISEASE IN HIGHER PLANTS
    Publication number: 20120123681
    Abstract: The present invention relates to a method, apparatus and a system of fast diagnosis of stresses and diseases in higher plants. The proposed methodology is based on the hypothesis of that when a plant is in imbalance; there are changes in its metabolism that render an alteration of the chemical composition of its organs. This chemical alteration leads to a change in the physical properties, such as the fluorescence of the leaves. Due to the complexity of the material of the leaves, the present method proposes that the signal be treated with statistical methods and that the classification is made through softwares based on machine learning. As an example of the application of the invention, the results are shown for the Greening disease in citrus.
    Type: Application
    Filed: October 14, 2009
    Publication date: May 17, 2012
    Applicant: Empresa Brasilera De Pesquisa Agropecuaria - Embrapa
    Inventors: Debora Marcondes Bastos Pereira Milori, Ladislau Martin Neto, Ednaldo Jose Ferreira, Ana Flavia Zaghi, Andre Leonardo Venancio