Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Irrigation scheduling of a classical gravity network based on the Covariance Matrix Adaptation - Evolutionary Strategy algorithm
Computers and Electronics in Agriculture, Volume 102, Year 2014
Notification
URL copied to clipboard!
Description
Irrigation scheduling is an important task that significantly influences water conservation and crop production. For most gravity irrigation networks located in semi-arid areas, irrigation scheduling is based on available water regardless of crops water needs. The objective of this study is to propose a new approach for optimizing irrigation scheduling taking into account crops water demand, based on the Covariance Matrix Adaptation - Evolution Strategy (CMA-ES) evolutionary strategy algorithm. The objective function, that must be minimized, of this optimization problem is defined as the sum of two terms. The first term is the Irrigation Priority Index (IPI) which characterizes the degree of imbalance between water stress and irrigation timing of the plot. The second one takes into account the various constraints that relate to canals capacity, tasks timing, geographical distances and canal flow rate variations. The approach was applied to an agricultural sector located at 40. km from the city of Marrakech (Morocco). Optimal schedule for the third irrigation, of the 2011-2012 agricultural season, is provided and the comparisons between schedules before and after optimization are made. The obtained results demonstrate that such approach allows reducing the proportion of late irrigated plots (from 22% to 8%) and increasing the proportion of plots irrigated at an appropriate time (from 28% to 40%). We conclude that this approach can be considered as an efficient tool for planning irrigation schedules by considering crops water needs. © 2014 Elsevier B.V.
Authors & Co-Authors
Belaqziz, Salwa
Morocco, Marakech
Faculté Des Sciences Semlalia
Mangiarotti, Sylvain
France, Toulouse
Center for Space Studies of the Biosphere
Le Page, Michel
France, Toulouse
Center for Space Studies of the Biosphere
Khabba, Saïd
Morocco, Marakech
Faculté Des Sciences Semlalia
Er-Raki, Salah
Morocco, Marakech
Faculté Des Sciences et Techniques Marrakech
Tarik, Agouti
Morocco, Marakech
Faculté Des Sciences Semlalia
Drapeau, Laurent
France, Toulouse
Center for Space Studies of the Biosphere
Kharrou, Mohamed Hakim
Morocco, Kenitra
Office Régional de Mise en Valeur Agricole
El Adnani, Mohammed
Morocco, Marakech
Faculté Des Sciences Semlalia
Jarlan, Lionel
France, Toulouse
Center for Space Studies of the Biosphere
Statistics
Citations: 37
Authors: 10
Affiliations: 4
Identifiers
Doi:
10.1016/j.compag.2014.01.006
ISSN:
01681699
Research Areas
Environmental
Study Locations
Morocco