A decision support system for managing irrigation in agriculture

H. Navarro Hellin, J. Martínez-del-Rincon, R. Domingo Miguel, F. Soto Valles, R. Torres Sanchez

Research output: Contribution to journalArticlepeer-review

113 Citations (Scopus)
1682 Downloads (Pure)


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. Two machine 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.
Original languageEnglish
Pages (from-to)121-131
Number of pages11
JournalComputers and Electronics in Agriculture
Publication statusPublished - 11 Apr 2016


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