Embrapa - Empresa Brasileira de Pesquisa Agropecuária
发明人:
Ana Flávia Zaghi,André Leonardo Venâncio,Débora Marcondes Bastos Pereira Milori,Ednaldo José Ferreira,Ladislau Martin Neto
申请号:
BRPI0805608
公开号:
BRPI0805608B1
申请日:
2008.12.15
申请国别(地区):
BR
年份:
2018
代理人:
摘要:
method, equipment and system for the diagnosis of stresses and diseases in higher plants. The present invention relates to a method, apparatus, equipment and system for rapid diagnosis of higher plant stresses and diseases. The proposed methodology is based on the hypothesis that when a plant goes unbalanced, changes occur in its metabolism that eventually change the chemical composition of its organs. This chemical change leads to a change in physical properties such as the fluorescence of leaves. Due to the complexity of the material of the leaves, the method proposes that the signal be treated with statistical methods and the classification made through software based on machine learning. As an example of application of the invention results are shown for greening disease in citrus. Currently, it is the worst citrus disease because it has no treatment, has high dissemination and affects all varieties of orange. The diagnosis is made by visual inspection, which gives high subjectivity, high percentage of error and the disease is only diagnosed. after symptom expression (~ 8 months). During the asymptomatic phase, the infected tree is a focus of spread of the disease. The present invention can make asymptomatic diagnosis of direct greening on the leaf with hit percentage above 80%.método, equipamento e sistema para diagnóstico de estresses e doenças em plantas superiores. a presente invenção refere-se a um método, um, equipamento e um sistema de diagnóstico rápido de estresses e doenças em plantas superiores. a metodologia proposta está baseada na hipótese de que quando uma planta entra em desequilíbrio, ocorrem mudanças em seu metabolismo que acabam por alterar a composição química de seus órgãos. esta mudança química leva a uma mudança nas propriedades fisicas, como a fluorescência das folhas. em função da complexidade do material das folhas, o método propõe que o sinal seja tratado com métodos estatísticos e a classificação feita através de softwares baseados em