A decision support system for managing irrigation in agricultura

Navarro Hellín, Honorio; Martínez del Rincón, Jesús; Domingo Miguel, Rafael; Soto Vallés, Fulgencio; Torres Sánchez, Roque

doi:10.1016/j.compag.2016.04.003

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Identificadores

URI: http://hdl.handle.net/10317/5824

ISSN: 0168-1699

DOI: 10.1016/j.compag.2016.04.003

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Patrocinadores

The development of this work was supported by the Spanish Ministry of Science and Innovation through the projects MICINN, AGL2010-19201-C04-04 and MINECO, AGL2013-49047-C2-1-R. We would like to thank Widhoc Smart Solutions S.L. and Queen’s Belfast University for letting us use their facilities and equipment to carry out the tests.

Fecha de publicación

2016-04-08

Cita bibliográfica

Navarro-Hellín, H., et al. A decision support system for managing irrigation in agriculture. Computers and Electronics in Agriculture, 2016. p. 121-131. ISSN: 0168-1699

Palabras clave

Irrigation
Decision support system
Water optimisation
Machine learning

Resumen

In this paper, an automatic Smart Irrigation Decision Support System, SIDSS, is proposed to manage irrigation in agriculture. Our system estimates the weekly irrigations needs of a plantation, on the basis of both soil measurements and climatic variables gathered by several autonomous nodes deployed in field. This enables a closed loop control scheme to adapt the decision support system to local perturbations and estimation errors. Twomachine learning techniques, PLSR and ANFIS, are proposed as reasoning engine of our SIDSS. Our approach is validated on three commercial plantations of citrus trees located in the South-East of Spain. Performance is tested against decisions taken by a human expert.

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