RT Conference Proceedings
T1 Calibración de parámetros en redes de riego mediante algoritmos genéticos
T2 Parameter calibration of agricultural irrigation distribution networks using genetic algorithms
A1 Ruiz Hermo, A.
A1 Neto, F.M.
A1 Orihuela Espina, Diego Luis
AB This paper presents a calibration methodology for adjusting the parameters of an irrigation network. The objective is to adjustthe hydraulic model to reflect more accurately the real operating conditions. For this purpose, data from pressure and flow sensorsare used. The decision variables are pipe roughness, which plays a key role because it affects distribution head losses. This problemis addressed by using genetic algorithms, since the number of decision variables is very large and the hydraulic model is nonlinear.The work analyzes the impact on the calibration results of considering roughness by material type or by independent pipe. Themethodology is applied to a real irrigation network of a 125ha citrus farm in Huelva, showing an improvement in the predictioncapacity of the calibrated model of 10.8% in the Willmott index for pressures, compared to the initial model designed with theproducer’s data.
PB Comité Español de Automática
SN 978-84-18490-65-1
YR 2025
FD 2025-06
LK https://hdl.handle.net/10272/25783
UL https://hdl.handle.net/10272/25783
LA spa
NO Ruiz-Hermo, A., Neto, F.M., Orihuela, L., 2025. Parameter calibration of agricultural irrigation networks using genetic algorithms. XX Simposio CEA de Control Inteligente, Huelva (Spain), 2025.
NO Esta publicaci´on es parte del proyecto GOPG-SE-23-0003,financiado por la Junta de Andaluc´ıa en el marco de los GruposOperativos de la Asociaci´on Europea de Innovaci´on (AEI).
DS Repositorio Institucional de la Universidad de Huelva
RD 25 jun 2026