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 resource. © Springer-Verlag Berlin Heidelberg 2001.
Cite
CITATION STYLE
Botía, J. A., Gómez-Skarmeta, A. F., Valdés, M., & Padilla, A. (2001). Data mining applied to irrigation water management. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2085 LNCS, pp. 547–554). Springer Verlag. https://doi.org/10.1007/3-540-45723-2_66
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