Data/hora: 23/09/2024 13:50:10

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	02/10/2008	
Data da última atualização: 	16/01/2020	
Autoria: 	MASSRUHÁ, S. M. F. S.; DEUS, R. S. de; SANTOS, A. D. dos; SILVA, F. C. da; CRUZ, S. A. B. da.	
Afiliação: 	SILVIA MARIA FONSECA SILVEIRA MASSRUHÁ, CNPTIA; RENATO SILVA DE DEUS, CNPTIA; ADRIANA DELFINO DOS SANTOS, CNPTIA; FABIO CESAR DA SILVA, CNPTIA; SERGIO APARECIDO BRAGA DA CRUZ, CNPTIA.	
Título: 	A web-based expert system for diagnosis of nutritional deficiencies in sugarcane.	
Ano de publicação: 	2006	
Fonte/Imprenta: 	In: INTERNATIONAL CONFERENCE OF THE ASIAN FEDERATION FOR INFORMATION TECHNOLOGY IN AGRICULTURE, 4., 2006, Bangalore. Proceedings... India: Macmillan, 2006.	
Páginas: 	p. 545-552.	
Idioma: 	Inglês	
Notas: 	AFITA/WCCA 2006.	
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 surgarcane to avoid deficiency diseases and to solve nutritional problems. The first version of system was developed using the virtual diagnosis framework developed by Embrapa. The adopted development methodology and the current status of system for diagnosis of deficiency disease in surgacane are discussed in this paper. The experience acquired in the development of this expert system as well as its future works are also presented.	
Palavras-Chave: 	Deductive inference; Inferência dedutiva; Sistema especialista.	
Thesagro: 	Agricultura; Cana de açúcar; Deficiência nutricional; Doença de planta.	
Thesaurus Nal: 	Agriculture; Deficiency diseases; disease diagnosis; Expert systems; Plant diseases and disorders; Sugarcane.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (12202-1) - UPC - AA - PP -  -  - 2008.00158 - DES
CNPTIA - (12202-2) - UPC - AA - DD -  -  -  - DIS