Spatio-Temporal Modeling and Simulation of Asian Soybean Rust Based on Fuzzy System

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dc.contributor.authorZagui, Nayara Longo Sartor [UNESP]
dc.contributor.authorKrindges, André [UNESP]
dc.contributor.authorLotufo, Anna Diva Plasencia [UNESP]
dc.contributor.authorMinussi, Carlos Roberto [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-05-01T12:09:45Z
dc.date.available2022-05-01T12:09:45Z
dc.date.issued2022-01-01
dc.description.abstractMato Grosso, Brazil, is the largest soy producer in the country. Asian Soy Rust is a disease that has already caused a lot of damage to Brazilian agribusiness. The plant matures prematurely, hindering the filling of the pod, drastically reducing productivity. It is caused by the Phakopsora pachyrhizi fungus. For a plant disease to establish itself, the presence of a pathogen, a susceptible plant, and favorable environmental conditions are necessary. This research developed a fuzzy system gathering these three variables as inputs, having as an output the vulnerability of the region to the disease. The presence of the pathogen was measured using a diffusion-advection equation appropriate to the problem. Some coefficients were based on the literature, others were measured by a fuzzy system and others were obtained by real data. From the mapping of producing properties, the locations where there are susceptible plants were established. And the favorable environmental conditions were also obtained from a fuzzy system, whose inputs were temperature and leaf wetness. Data provided by IBGE, INMET, and Antirust Consortium were used to fuel the model, and all treatments, tests, and simulations were carried out within the Matlab® environment. Although Asian Soybean Rust was the chosen disease here, the model was general in nature, so could be reproduced for any disease of plants with the same profile.en
dc.description.affiliationElectrical Engineering Department UNESP-São Paulo State University, Av. Brasil 56, (SP), Sao Paulo
dc.description.affiliationUnespElectrical Engineering Department UNESP-São Paulo State University, Av. Brasil 56, (SP), Sao Paulo
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCAPES: 001
dc.identifierhttp://dx.doi.org/10.3390/s22020668
dc.identifier.citationSensors, v. 22, n. 2, 2022.
dc.identifier.doi10.3390/s22020668
dc.identifier.issn1424-8220
dc.identifier.scopus2-s2.0-85122880401
dc.identifier.urihttp://hdl.handle.net/11449/234013
dc.language.isoeng
dc.relation.ispartofSensors
dc.sourceScopus
dc.subjectAdvection-diffusion problem
dc.subjectFuzzy logic
dc.subjectModeling and simulation Asian soybean rust
dc.titleSpatio-Temporal Modeling and Simulation of Asian Soybean Rust Based on Fuzzy Systemen
dc.typeArtigo

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Artigos - Engenharia Elétrica - FEIS