Optimization of cotton irrigation using evolutionary algorithm and simulation model
The optimal management of irrigation is a principal constraint facing agriculture worldwide. The potential number of combinations of irrigation schedules over a growing season is enormous when the variables involved are considered. Theoretically, on any given day during a cropping season, a decision can be made to irrigate or not. This associated with specific irrigation amounts and methods. The outcome of a decision and the nature of future décisions is afunction of the status of the crop at any given decision point. Thus, there are an extremely large number of potential irrigation schedules for any given crop season. Evolutionary algorithms are computer based optimization and search techniques that mimic natural selection to efficiently search very large solution spaces. They are based on the biological concepts of evolution through mechanisms such as selection, crossover and mutation. Cotton irrigation scheduling (timing and amount of water) can be approached as an adaptation problem. In this study a cotton simulation model (GOSSYM) was integrated with an evolutionary algorithm to provide irrigation recommendations to farmers. The results show that this approach Io irrigation scheduling is an improvement over the expert system currently associated with the model. This evolutionary algorithm consistently derived irrigation itineraries that resulted in higher economic return. More interesting, this new approach is also generic and it is applicable Io other cultural practices and to any cropping situation.
Main Authors: | , , , |
---|---|
Format: | conference_item biblioteca |
Language: | eng |
Published: |
ICAC
|
Subjects: | F06 - Irrigation, |
Online Access: | http://agritrop.cirad.fr/477453/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-cirad-fr-477453 |
---|---|
record_format |
koha |
spelling |
dig-cirad-fr-4774532022-05-05T15:54:37Z http://agritrop.cirad.fr/477453/ http://agritrop.cirad.fr/477453/ Optimization of cotton irrigation using evolutionary algorithm and simulation model. Sequeira Ronaldo, Jallas Eric, Cretenet Michel, Turner Sammy. 2000. In : New frontiers in cotton research : Proceedings of the world cotton research conference - 2, Athens, Greece, September 6-12, 1998. Gillham Fred M. (ed.). Washington : ICAC, 465-468. World Cotton Research Conference. 2, Athènes, Grèce, 6 Septembre 1998/12 Septembre 1998. Researchers Optimization of cotton irrigation using evolutionary algorithm and simulation model Sequeira, Ronaldo Jallas, Eric Cretenet, Michel Turner, Sammy eng 2000 ICAC New frontiers in cotton research : Proceedings of the world cotton research conference - 2, Athens, Greece, September 6-12, 1998 F06 - Irrigation The optimal management of irrigation is a principal constraint facing agriculture worldwide. The potential number of combinations of irrigation schedules over a growing season is enormous when the variables involved are considered. Theoretically, on any given day during a cropping season, a decision can be made to irrigate or not. This associated with specific irrigation amounts and methods. The outcome of a decision and the nature of future décisions is afunction of the status of the crop at any given decision point. Thus, there are an extremely large number of potential irrigation schedules for any given crop season. Evolutionary algorithms are computer based optimization and search techniques that mimic natural selection to efficiently search very large solution spaces. They are based on the biological concepts of evolution through mechanisms such as selection, crossover and mutation. Cotton irrigation scheduling (timing and amount of water) can be approached as an adaptation problem. In this study a cotton simulation model (GOSSYM) was integrated with an evolutionary algorithm to provide irrigation recommendations to farmers. The results show that this approach Io irrigation scheduling is an improvement over the expert system currently associated with the model. This evolutionary algorithm consistently derived irrigation itineraries that resulted in higher economic return. More interesting, this new approach is also generic and it is applicable Io other cultural practices and to any cropping situation. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/closedAccess http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=163100 |
institution |
CIRAD FR |
collection |
DSpace |
country |
Francia |
countrycode |
FR |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-cirad-fr |
tag |
biblioteca |
region |
Europa del Oeste |
libraryname |
Biblioteca del CIRAD Francia |
language |
eng |
topic |
F06 - Irrigation F06 - Irrigation |
spellingShingle |
F06 - Irrigation F06 - Irrigation Sequeira, Ronaldo Jallas, Eric Cretenet, Michel Turner, Sammy Optimization of cotton irrigation using evolutionary algorithm and simulation model |
description |
The optimal management of irrigation is a principal constraint facing agriculture worldwide. The potential number of combinations of irrigation schedules over a growing season is enormous when the variables involved are considered. Theoretically, on any given day during a cropping season, a decision can be made to irrigate or not. This associated with specific irrigation amounts and methods. The outcome of a decision and the nature of future décisions is afunction of the status of the crop at any given decision point. Thus, there are an extremely large number of potential irrigation schedules for any given crop season. Evolutionary algorithms are computer based optimization and search techniques that mimic natural selection to efficiently search very large solution spaces. They are based on the biological concepts of evolution through mechanisms such as selection, crossover and mutation. Cotton irrigation scheduling (timing and amount of water) can be approached as an adaptation problem. In this study a cotton simulation model (GOSSYM) was integrated with an evolutionary algorithm to provide irrigation recommendations to farmers. The results show that this approach Io irrigation scheduling is an improvement over the expert system currently associated with the model. This evolutionary algorithm consistently derived irrigation itineraries that resulted in higher economic return. More interesting, this new approach is also generic and it is applicable Io other cultural practices and to any cropping situation. |
format |
conference_item |
topic_facet |
F06 - Irrigation |
author |
Sequeira, Ronaldo Jallas, Eric Cretenet, Michel Turner, Sammy |
author_facet |
Sequeira, Ronaldo Jallas, Eric Cretenet, Michel Turner, Sammy |
author_sort |
Sequeira, Ronaldo |
title |
Optimization of cotton irrigation using evolutionary algorithm and simulation model |
title_short |
Optimization of cotton irrigation using evolutionary algorithm and simulation model |
title_full |
Optimization of cotton irrigation using evolutionary algorithm and simulation model |
title_fullStr |
Optimization of cotton irrigation using evolutionary algorithm and simulation model |
title_full_unstemmed |
Optimization of cotton irrigation using evolutionary algorithm and simulation model |
title_sort |
optimization of cotton irrigation using evolutionary algorithm and simulation model |
publisher |
ICAC |
url |
http://agritrop.cirad.fr/477453/ |
work_keys_str_mv |
AT sequeiraronaldo optimizationofcottonirrigationusingevolutionaryalgorithmandsimulationmodel AT jallaseric optimizationofcottonirrigationusingevolutionaryalgorithmandsimulationmodel AT cretenetmichel optimizationofcottonirrigationusingevolutionaryalgorithmandsimulationmodel AT turnersammy optimizationofcottonirrigationusingevolutionaryalgorithmandsimulationmodel |
_version_ |
1758018847926910976 |