Abstract
This work addresses the application of data mining to obtain artificial neural network based models for the application in water management during crops irrigation. This problem is very important in the zone of the South-East of Spain, as there is an important lack of rainfall there. These intelligent analysis techniques are used in order to optimize the consumption of such an appreciated and limited resour
Work supported by the European Comission through the FEDER 1FD97-0255-C03-01 project
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Botía, J.A., Gómez-Skarmeta, A.F., Valdés, M., Padilla, A. (2001). Data Mining Applied to Irrigation Water Management. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_66
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DOI: https://doi.org/10.1007/3-540-45723-2_66
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