Belaqziz S., El Fazziki A., Mangiarotti S., Le Page Michel, Khabba S., Er Raki S., El Adnani M., Jarlan Lionel. (2013). An agent based modeling for the gravity irrigation management. In :
Romano N. (ed.), D'Urso G. (ed.), Severino G. (ed.), Chirico G.B. (ed.), Palladino M. (ed.). Four decades of progress in monitoring and modeling of processes in the soil-plant-atmosphere system : applications and challenges. Procedia Environmental Sciences, 19, p. 804-813. ISSN 1878-0296.
Titre du document
An agent based modeling for the gravity irrigation management
Année de publication
2013
Auteurs
Belaqziz S., El Fazziki A., Mangiarotti S., Le Page Michel, Khabba S., Er Raki S., El Adnani M., Jarlan Lionel
In
Romano N. (ed.), D'Urso G. (ed.), Severino G. (ed.), Chirico G.B. (ed.), Palladino M. (ed.), Four decades of progress in monitoring and modeling of processes in the soil-plant-atmosphere system : applications and challenges
Source
Procedia Environmental Sciences, 2013,
19, p. 804-813 ISSN 1878-0296
Efficient water resources management is an issue of major importance in the field of sustainable development, especially in the agricultural sector which represents the main consumer through irrigations. Therefore irrigation management is an important and innovating area which was the subject of several research and studies. Modeling, and more particularly, the Agent-Based Modeling (ABM), allows better representing the multiplicity of these actors, the diversity of their roles and their interactions. The main reason why we chose the agent technology in the field of gravity irrigation systems, is the complexity to manage in real-time the water distribution operations those arrive asynchronously and dynamically and to be reactive and adaptive to the dynamic and unpredictable events that characterizes the field (mainly rainy advents). Our objectives are mainly located on two levels. The first one, concerns the gravity irrigation modeling by a multi-agent technology and the agent modeling through AML language. The second one focuses on the irrigations scheduling optimization using an evolutionary algorithm. Comparisons between schedules before and after optimization are made and the results shows that our approach can be considered as an efficient tool for planning irrigation schedules by considering crops water needs.
Plan de classement
Mathématiques appliquées [020MATH01]
;
Gestion, prévision en temps réel et modélisation [062EVAEAU03]
;
Irrigation / Drainage [076AGRO09]
Descripteurs
IRRIGATION ; MODELISATION ; INTELLIGENCE ARTIFICIELLE ; ANALYSE MATHEMATIQUE ; ALGORITHME ; BESOIN EN EAU ; EVAPOTRANSPIRATION ; PLANIFICATION ; ZONE MEDITERRANEENNE ; SYSTEME MULTI AGENTS ; GESTION DE L'EAU ; IRRIGATION GRAVITAIRE
Description Géographique
ZONE SEMIARIDE ; MAROC
Localisation
Fonds IRD [F B010060158]
Identifiant IRD
fdi:010060158
