Data/hora: 23/09/2024 18:10:30

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	22/09/2005	
Data da última atualização: 	17/01/2020	
Autoria: 	MASSRUHÁ, S. M. F. S.; SANDRI, S.; WAINER, J.; MORANDI, M. A. B.	
Afiliação: 	SILVIA MARIA FONSECA S MASSRUHA, CNPTIA; SANDRA SANDRI, Institut d'Investigació en Intelligéncia Artificial, Belaterra, Spain; JACQUES WAINER, IC/Unicamp; MARCELO AUGUSTO BOECHAT MORANDI, CNPMA.	
Título: 	An integrated framework for clinical problem solving in agriculture.	
Ano de publicação: 	2005	
Fonte/Imprenta: 	In: CONFERENCE OF THE EUROPEAN FEDERATION FOR INFORMATION TECHNOLOGY IN AGRICULTURE, FOOD AND ENVIRONMENT, 5.; WORLD CONGRESS ON COMPUTERS IN AGRICULTURE AND NATURAL RESOURCES, 3., 2005, Vila Real, Portugal. Book of abstracts... Vila Real, Portugal: Universidade de Trás-os-Montes e Alto Douro, 2005.	
Páginas: 	p. 76.	
Idioma: 	Inglês	
Notas: 	EFITA/WCCA 2005. Poster Sessions.	
Conteúdo: 	The goal of this paper is to give an overview of a general problem-solving framework for diagnosis, investigation and treatment tasks, that incorporates concepts of abductive inference, fuzzy set logic and decision theory. In this work we focus on the use of this framework in agriculture, with an illustration in corn plantations. The general framework models time durations and intensity of manifestations as fuzzy sets, and, in the particular case of agriculture, it takes into account the favorable conditions for the development of a given disorder and the severity of its manifestations to recommend a treatment, together with other important factors such as risk and cost.	
Palavras-Chave: 	Abductive inference; Decision theory; Diagnosis; Fuzzy sets; Lógica difusa.	
Thesagro: 	Agricultura.	
Thesaurus Nal: 	Agriculture; Fuzzy logic.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (10855-1) - UPC - RA - -- -  -  - 2005.00071 - DES
CNPTIA - (10855-2) - UPC - RA - DD -  -  -  - DIS