01679nam a2200265 a 450000100080000000500110000800800410001910000270006024500960008726003050018330000110048850000380049952006840053765000160122165000160123765000160125365300240126965300200129365300140131365300150132765300190134270000150136170000150137670000220139110007052020-01-17       2005    bl uuuu     u00u1 u    #d1 aMASSRUHÁ, S. M. F. S.  aAn integrated framework for clinical problem solving in agriculture.h[electronic resource]  aIn: 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 Douroc2005  ap. 76.  aEFITA/WCCA 2005. Poster Sessions.  aThe 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.  aAgriculture  aFuzzy logic  aAgricultura  aAbductive inference  aDecision theory  aDiagnosis  aFuzzy sets  aLógica difusa1 aSANDRI, S.1 aWAINER, J.1 aMORANDI, M. A. B.