@article{fdi:010060158, title = {{A}n agent based modeling for the gravity irrigation management}, author = {{B}elaqziz, {S}. and {E}l {F}azziki, {A}. and {M}angiarotti, {S}. and {L}e {P}age, {M}ichel and {K}habba, {S}. and {E}r {R}aki, {S}. and {E}l {A}dnani, {M}. and {J}arlan, {L}ionel}, editor = {}, language = {{ENG}}, abstract = {{E}fficient 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. {T}herefore irrigation management is an important and innovating area which was the subject of several research and studies. {M}odeling, and more particularly, the {A}gent-{B}ased {M}odeling ({ABM}), allows better representing the multiplicity of these actors, the diversity of their roles and their interactions. {T}he 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). {O}ur objectives are mainly located on two levels. {T}he first one, concerns the gravity irrigation modeling by a multi-agent technology and the agent modeling through {AML} language. {T}he second one focuses on the irrigations scheduling optimization using an evolutionary algorithm. {C}omparisons 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.}, keywords = {{IRRIGATION} ; {MODELISATION} ; {INTELLIGENCE} {ARTIFICIELLE} ; {ANALYSE} {MATHEMATIQUE} ; {ALGORITHME} ; {BESOIN} {EN} {EAU} ; {EVAPOTRANSPIRATION} ; {PLANIFICATION} ; {ZONE} {MEDITERRANEENNE} ; {SYSTEME} {MULTI} {AGENTS} ; {GESTION} {DE} {L}'{EAU} ; {IRRIGATION} {GRAVITAIRE} ; {ZONE} {SEMIARIDE} ; {MAROC} ; {TENSIFT} {BASSIN} {VERSANT}}, booktitle = {{F}our decades of progress in monitoring and modeling of processes in the soil-plant-atmosphere system : applications and challenges}, journal = {{P}rocedia {E}nvironmental {S}ciences}, volume = {19}, numero = {}, pages = {804--813}, ISSN = {1878-0296}, year = {2013}, DOI = {10.1016/j.proenv.2013.06.089}, URL = {https://www.documentation.ird.fr/hor/fdi:010060158}, }