Irrigation planning and management is vital in achieving food security. The water delivery to many small farms at varying times can be difficult to manage. Deviations between the predictive/control model and the reality can be caused by climatic variations or unscheduled demands by farmers. Furthermore, irrigation canals are large-scale systems, consisting of many interacting components, equipped with local controllers to modulate the flow of water by adjusting the settings of the gates. The available methodologies are mainly aimed at the optimal irrigation scheduling. This review provides the basis for the application of control methods to the irrigation systems.

Cristiana Bragalli, L.Z. (2018). Control Methods in Automated Gravity Irrigation Systems: a review.

Control Methods in Automated Gravity Irrigation Systems: a review

Cristiana Bragalli
;
Lorenzo Zingali;Alessio Domeneghetti;Armando Brath
2018

Abstract

Irrigation planning and management is vital in achieving food security. The water delivery to many small farms at varying times can be difficult to manage. Deviations between the predictive/control model and the reality can be caused by climatic variations or unscheduled demands by farmers. Furthermore, irrigation canals are large-scale systems, consisting of many interacting components, equipped with local controllers to modulate the flow of water by adjusting the settings of the gates. The available methodologies are mainly aimed at the optimal irrigation scheduling. This review provides the basis for the application of control methods to the irrigation systems.
2018
Proceedings of the 23rd Conference of Open Innovations Association FRUCT
443
446
Cristiana Bragalli, L.Z. (2018). Control Methods in Automated Gravity Irrigation Systems: a review.
Cristiana Bragalli, Lorenzo Zingali, Alessio Domeneghetti, Armando Brath
File in questo prodotto:
File Dimensione Formato  
Bra.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione - Non opere derivate (CCBYND)
Dimensione 336.16 kB
Formato Adobe PDF
336.16 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/677033
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact