Data/hora: 06/06/2024 09:15:25

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 10/08/2011
Data da última atualização: | 22/09/2011
Autoria: | 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.
Afiliação: | 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).
Título: | A web-based expert system for diagnosis of nutritional deficiency in sugarcane.
Ano de publicação: | 2011
Fonte/Imprenta: | Bioenergia em Revista: Diálogos, Piracicaba, v. 1, n. 1, p. 26-48, jan./jun. 2011.
Idioma: | Inglês
Conteúdo: | 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.
Palavras-Chave: | Deficiência nutricional em cana-de-açúcar; Inferência dedutiva; Inteligência artificial; Sistema especialista para internet.
Thesaurus Nal: | Artificial intelligence; Expert systems; Saccharum; Sugarcane.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/39535/1/11-49-1-PB.pdf
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (15918-1) - UPC - AP - DD -  -  -  - DIS