Programa e Resumos - I Congresso Ibérico de Ciência do Solo 2004
Programa e Resumos - I Congresso Ibérico de Ciência do Solo 2004
Programa e Resumos - I Congresso Ibérico de Ciência do Solo 2004
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
I <strong>Congresso</strong> Ibérico da Ciência <strong>do</strong> <strong>Solo</strong> – 15 a 18 <strong>de</strong> Junho <strong>de</strong> <strong>2004</strong>, Bragança, Portugal<br />
Analysis of the olive tree cultivations in Granada (Spain) from farmers<br />
knowledge (II): Fusion between user and scientific information using new<br />
data mining techniques.<br />
Julio Calero 1 , José María Serrano 2 , Amparo Vila 3 , Manuel Sánchez-Marañón 4 , Daniel<br />
Sánchez 3 & Gabriel Delga<strong>do</strong> 4<br />
1 Departamento <strong>de</strong> Geología, Facultad <strong>de</strong> Ciencias Experimentales, Universidad <strong>de</strong> Jaén,<br />
23071, Jaén, España – Tel: +34 53 00 27 73 – Email: varanda@ujaen.es<br />
2 Departamento <strong>de</strong> Ciencias <strong>de</strong> la Computación, Escuela Politécnica <strong>de</strong> Linares, Universidad <strong>de</strong><br />
Jaén, 23071, Linares, España – Tel: +34 53 00 45 67 – Email: jmserrano@<strong>de</strong>csai.ugr.es<br />
3 Departamento <strong>de</strong> Inteligencia Artificial y Ciencias <strong>de</strong> la Computación, Facultad <strong>de</strong> Ciencias,<br />
Universidad <strong>de</strong> Granada, 18071, Granada, España – Tel: +34 58 24 40 18 – Email:<br />
vila@<strong>de</strong>csai.ugr.es<br />
3 Departamento <strong>de</strong> Edafología y Química Agrícola, Facultad <strong>de</strong> Farmacia, Universidad <strong>de</strong><br />
Granada, 18071, Granada, España – Tel: +34 58 24 63 80 – Email: g<strong>de</strong>lga<strong>do</strong>@ugr.es<br />
Resumen<br />
Comunicación: Panel<br />
Nowadays, a usual problem is the increasing amount of soil information necessary to<br />
support <strong>de</strong>cission about the uses of land. The classic sources of data, such as basic soil<br />
cartography, <strong>do</strong> not provi<strong>de</strong> sufficient information. The knowledge of local farmers<br />
(land/soil users) must be used to obtain information about soil, because they works<br />
directly on the agrope<strong>do</strong>logical system and makes any <strong>de</strong>cisions. In a previous paper<br />
(Calero et al. <strong>2004</strong>) 7 we <strong>de</strong>scribe the interview to the olive grove farmers and the basic<br />
information about the system extracted by means of statistical analysis. But the farmer<br />
information (user knowledge) is generally imprecise and uncertain and statistic is not an<br />
a<strong>de</strong>cuate tool to process this data. In this paper we use techniques of Artificial<br />
Inteligence (Data Mining) to test the <strong>de</strong>gree to which this knowledge improves the soil<br />
data from soil cartography. The procedure was the following: 1) classify<br />
agrope<strong>do</strong>logical information from farmers by means of flexible classification based in a<br />
fuzzy-k-means algoritm; 2) <strong>de</strong>velop and apply flexible tools to manage and combine<br />
both types of knowledge. In conclusion, it is possible to integrate empirical user<br />
knowledge and experimental researcher knowledge (scientific knowledge) in the same<br />
s o i l d a t a b a s e .<br />
7 Calero J, Serrano JM, Delga<strong>do</strong> R, Martín-García JM, Aranda V and Delga<strong>do</strong> G (<strong>2004</strong>) Analysis of the<br />
olive tree cultivations in Granada (Spain) from farmers knowledge (i): Statistical analisis of the system by<br />
means of a CATPCA. Paper inclu<strong>de</strong>d in this Congress.<br />
– 152 –