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Publicação:
Monitoring plant health using remote sensing: Advances and challenges

dc.contributor.authorda Silva Barros, Pedro Paulo
dc.contributor.authorRosalen, David Luciano [UNESP]
dc.contributor.authorFilho, Fernando Henrique Iost
dc.contributor.authorMartins, George Deroco
dc.contributor.authorDi Leo, Néstor
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionCentro de Estudios Territoriales
dc.date.accessioned2022-05-01T03:58:58Z
dc.date.available2022-05-01T03:58:58Z
dc.date.issued2021-04-01
dc.description.abstractProblems concerning plant health, such as diseases, pests and weeds, which compete with grown plants for resources and, therefore, harm their full development, are responsible for significant losses in agriculture, year after year. Thus, it is extremely important to know the health status of the crops to plan management actions, in addition to serving as a basis for public investment and protection policies, aiming to reduce losses in production and guarantee national food security. When exposed to such problems, plants activate defense responses, whose molecular mechanism are too complex. In the early stages of pest or disease establishment, although symptoms are not yet visible, plants react in a variety of physiological mechanisms, such as reducing photosynthesis, which leads to increased fluorescence and heat emission. Thus, stressed plants produce a different spectral signature than that produced by healthy plants. In the field of Remote Sensing, a lot of studies have demonstrated the relationship between plant health issues and the spectral response registered in multi and hyperspectral sensors (whether imaging or not, active or passive and attached to terrestrial, aerial or orbital platforms). Therefore, the objective of this review is to describe the state of the art of Remote Sensing technology applied to health status of cultivated plants, at the levels of terrestrial, aerial and orbital data collection, using different types of sensors.en
dc.description.affiliationUniversidade Federal de Uberlândia Faculdade de Engenharia Civil
dc.description.affiliationUniversidade Estadual Paulista Departamento de Engenharia e Ciências Exatas
dc.description.affiliationUniversidade de São Paulo Departamento de Entomologia e Acarologia
dc.description.affiliationUniversidad Nacional de Rosario Centro de Estudios Territoriales
dc.description.affiliationUnespUniversidade Estadual Paulista Departamento de Engenharia e Ciências Exatas
dc.format.extent489-515
dc.identifierhttp://dx.doi.org/10.14393/rbcv73n2-56597
dc.identifier.citationRevista Brasileira de Cartografia, v. 73, n. 2, p. 489-515, 2021.
dc.identifier.doi10.14393/rbcv73n2-56597
dc.identifier.issn1808-0936
dc.identifier.issn0560-4613
dc.identifier.scopus2-s2.0-85104574082
dc.identifier.urihttp://hdl.handle.net/11449/233120
dc.language.isopor
dc.relation.ispartofRevista Brasileira de Cartografia
dc.sourceScopus
dc.subjectAgriculture
dc.subjectDrone
dc.subjectPhotogrammetry
dc.subjectPlant stress
dc.subjectSpectral response
dc.subjectSynthetic-aperture radar
dc.titleMonitoring plant health using remote sensing: Advances and challengesen
dc.titleMonitoramento Fitossanitário Utilizando Sensoriamento Remoto: Avanços e Desafiospt
dc.typeResenha
dspace.entity.typePublication
unesp.author.orcid0000-0002-4941-1746[1]
unesp.author.orcid0000-0003-1759-9673[2]
unesp.author.orcid0000-0002-9116-5104[3]
unesp.author.orcid0000-0001-9738-7325[4]
unesp.author.orcid0000-0001-7872-9692[5]
unesp.departmentEngenharia Rural - FCAVpt

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