2010
DOI: 10.1016/j.omega.2009.12.006
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WISCHE: A DSS for water irrigation scheduling

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Cited by 35 publications
(18 citation statements)
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“…In this work we propose a mathematical model instead of heuristics. In Alminana et al (2010) they present models and algorithms to determine water irrigation scheduling by taking into account the irrigation network topology, the water volume, technical conditions, and the logistical operations. Their models do not use the real-time information of humidity sensors like we do in this research.…”
Section: Literature Review and Terminologymentioning
confidence: 99%
“…In this work we propose a mathematical model instead of heuristics. In Alminana et al (2010) they present models and algorithms to determine water irrigation scheduling by taking into account the irrigation network topology, the water volume, technical conditions, and the logistical operations. Their models do not use the real-time information of humidity sensors like we do in this research.…”
Section: Literature Review and Terminologymentioning
confidence: 99%
“…Their scope revealed their exclusiveness and limitation in handling decisions. Existing in literature are diverse narrowly oriented Agricultural DSS for management of nutrients, management of pest and scheduling irrigation [23]. Mokarram et al [24] employed RotBoost a newly proposed ensemble classifier generation technique, which is constructed by combining Rotation Forest and AdaBoost and also adopting FAO method of suitability classes for the classification of land suitability in Shavur plain, which lies in the northern of Khuzestan Province, Southwest of Iran.…”
Section: Land Suitability Evaluation (Lse) For Cassava (Manihot Esculmentioning
confidence: 99%
“…(Palmer and Holmes 1988;Reitsma 1996;Ito et al 2001;Shim et al 2002;Koutsoyiannis et al 2003;Zhang et al 2004;Mysiak et al 2005;Calder et al 2008;Tian-en et al 2009;Alminana et al 2010). Furthermore, a few watershed DSSs are merely related to environmental problems e.g.…”
Section: Need For Advanced and Augmented Techniques For Watershed Manmentioning
confidence: 99%