Programa e Resumos - I Congresso Ibérico de Ciência do Solo 2004

I Congresso Ibérico da Ciência do Solo – 15 a 18 de Junho de 2004, Bragança, Portugal
Analysis of the olive tree cultivations in Granada (Spain) from farmers
knowledge (II): Fusion between user and scientific information using new
data mining techniques.
Julio Calero 1 , José María Serrano 2 , Amparo Vila 3 , Manuel Sánchez-Marañón 4 , Daniel
Sánchez 3 & Gabriel Delgado 4
1 Departamento de Geología, Facultad de Ciencias Experimentales, Universidad de Jaén,
23071, Jaén, España – Tel: +34 53 00 27 73 – Email: varanda@ujaen.es
2 Departamento de Ciencias de la Computación, Escuela Politécnica de Linares, Universidad de
Jaén, 23071, Linares, España – Tel: +34 53 00 45 67 – Email: jmserrano@decsai.ugr.es
3 Departamento de Inteligencia Artificial y Ciencias de la Computación, Facultad de Ciencias,
Universidad de Granada, 18071, Granada, España – Tel: +34 58 24 40 18 – Email:
vila@decsai.ugr.es
3 Departamento de Edafología y Química Agrícola, Facultad de Farmacia, Universidad de
Granada, 18071, Granada, España – Tel: +34 58 24 63 80 – Email: gdelgado@ugr.es
Resumen
Comunicación: Panel
Nowadays, a usual problem is the increasing amount of soil information necessary to
support decission about the uses of land. The classic sources of data, such as basic soil
cartography, do not provide sufficient information. The knowledge of local farmers
(land/soil users) must be used to obtain information about soil, because they works
directly on the agropedological system and makes any decisions. In a previous paper
(Calero et al. 2004) 7 we describe the interview to the olive grove farmers and the basic
information about the system extracted by means of statistical analysis. But the farmer
information (user knowledge) is generally imprecise and uncertain and statistic is not an
adecuate tool to process this data. In this paper we use techniques of Artificial
Inteligence (Data Mining) to test the degree to which this knowledge improves the soil
data from soil cartography. The procedure was the following: 1) classify
agropedological information from farmers by means of flexible classification based in a
fuzzy-k-means algoritm; 2) develop and apply flexible tools to manage and combine
both types of knowledge. In conclusion, it is possible to integrate empirical user
knowledge and experimental researcher knowledge (scientific knowledge) in the same
s o i l d a t a b a s e .
7 Calero J, Serrano JM, Delgado R, Martín-García JM, Aranda V and Delgado G (2004) Analysis of the
olive tree cultivations in Granada (Spain) from farmers knowledge (i): Statistical analisis of the system by
means of a CATPCA. Paper included in this Congress.
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