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dc.contributor.authorAlaba Boluwade
dc.contributor.authorChandra Madramootoo
dc.contributor.authorAghil Yari
dc.date.accessioned2017-05-08T22:26:04Z
dc.date.available2017-05-08T22:26:04Z
dc.date.copyrightJanuary 2016
dc.date.issued2016
dc.identifier.other44897827.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/80583
dc.description.abstractSustainable water management is paramount to effective and efficient irrigation water management. Over decades, excessive irrigation water application has caused erosion, poor crop quality, water logging, salinity, and wastage of scarce water resources. Variable rate irrigation (VRI) is a recent technique that aids the application of irrigation water according to crop needs and soil physical and chemical properties. A challenge in applying VRI is the determination of appropriate water management zones (MZs). Two software and associated clustering techniques stand out as the best in determining the optimal number of MZs:
dc.publisherAmerican Society of Civil Engineers
dc.titleApplication of Unsupervised Clustering Techniques for Management Zone Delineation: Case Study of Variable Rate Irrigation in Southern Alberta, Canada
dc.typeJournal Paper
dc.journal.volume142
dc.journal.issue1
dc.journal.titleJournal of Irrigation and Drainage Engineering
dc.identifier.doi10.1061/(ASCE)IR.1943-4774.0000936
dc.treeJournal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 001
dc.contenttypeFulltext


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