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Título
A Data Mining Approach Applied to Wireless Sensor Neworks in Greenhouses
Autor(es)
Materia
Agents
Adaptivity
IoT
Greenhouse
Crop optimization
Data mining
Clasificación UNESCO
5312.01 Agricultura, Silvicultura, Pesca
Fecha de publicación
2019
Editor
Springer
Citación
Castellanos-Garzón, J.A., Mezquita Martín, Y., Jaimes S., J.L., López G., S.M. (2019). A Data Mining Approach Applied to Wireless Sensor Neworks in Greenhouses. In: S.Rodríguez, J. Prieto, P. Faria, S. Klos, A. Fernández, S. Mazuelas, M.D. Jiménez-López y M.N. Moreno (Eds). Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-99608-0_60
Serie / N.º
Advances in Intelligent Systems and Computing;801
Resumen
[EN] This research presents an innovative multi-agent system based on virtual organizations. It has been designed to manage the information collected by wireless sensor networks for knowledge discovery and decision making in greenhouses. The developed multi-agent system allowed us to take decisions on the basis of the analysis of the historical data obtained from sensors. The proposed approach improves the efficiency of greenhouses by optimizing the use of resources.
URI
ISBN
978-3-319-99607-3
ISSN
2194-5357
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