A web-based expert system for diagnosis of nutritional deficiency in sugarcane.

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dc.contributorFABIO CESAR DA SILVA, CNPTIA; SILVIA MARIA FONSECA SILVEIRA MASSRUHÁ, CNPTIA; ADRIANA DELFINO DOS SANTOS, CNPTIA; ESALQ/USP; SERGIO APARECIDO BRAGA DA CRUZ, CNPTIA; CENA/USP (In Memorian).
dc.creatorSILVA, F. C. da
dc.creatorMASSRUHÁ, S. M. F. S.
dc.creatorDEUS, R. S. de
dc.creatorSANTOS, A. D. dos
dc.creatorBARBIERI, V.
dc.creatorCRUZ, S. A. B. da
dc.creatorMALAVOLTA, E.
dc.date2011-08-10T11:11:11Z
dc.date2011-08-10T11:11:11Z
dc.date2011-08-10T11:11:11Z
dc.date2011-08-10T11:11:11Z
dc.date2011-08-10
dc.date2011
dc.date2011-09-22T11:11:11Z
dc.date.accessioned2026-07-07T04:12:47Z
dc.descriptionThis paper presents a web-based expert system for diagnosis of plant nutrient disorders in sugarcane. This system aims to provide a guide to identification of essential and functional plant nutrient disorders in sugarcane to avoid deficiency and to solve nutritional problems arising from the development of this culture. It is directed toward the sugarcane farmer, research scientist, extension specialist, student, and consultant. The first version of system was developed using the virtual diagnosis framework developed by Embrapa and CENA/USP. The adopted development methodology and the current status of the system for diagnosis of nutritional deficiency in sugarcane are discussed in this paper. The experience acquired in the development of this expert system and applications are also presented.
dc.identifierBioenergia em Revista: Diálogos, Piracicaba, v. 1, n. 1, p. 26-48, jan./jun. 2011.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/897665
dc.identifier.urihttp://hdl.handle.net/123456789/454265
dc.languageeng
dc.rightsopenAccess
dc.subjectSistema especialista para internet
dc.subjectDeficiência nutricional em cana-de-açúcar
dc.subjectInteligência artificial
dc.subjectInferência dedutiva
dc.subjectSugarcane
dc.subjectExpert systems
dc.subjectArtificial intelligence
dc.subjectSaccharum
dc.titleA web-based expert system for diagnosis of nutritional deficiency in sugarcane.
dc.typeArtigo de periódico

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