Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/897665
Title: A web-based expert system for diagnosis of nutritional deficiency in sugarcane.
Authors: SILVA, F. C. da
MASSRUHÁ, S. M. F. S.
DEUS, R. S. de
SANTOS, A. D. dos
BARBIERI, V.
CRUZ, S. A. B. da
MALAVOLTA, E.
Affiliation: FABIO 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).
Date Issued: 2011
Citation: Bioenergia em Revista: Diálogos, Piracicaba, v. 1, n. 1, p. 26-48, jan./jun. 2011.
Description: This 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.
NAL Thesaurus: Sugarcane
Expert systems
Artificial intelligence
Saccharum
Keywords: Sistema especialista para internet
Deficiência nutricional em cana-de-açúcar
Inteligência artificial
Inferência dedutiva
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (CNPTIA)

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