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contributor authorAlaba Boluwade
contributor authorChandra Madramootoo
contributor authorAghil Yari
date accessioned2017-05-08T22:26:04Z
date available2017-05-08T22:26:04Z
date copyrightJanuary 2016
date issued2016
identifier other44897827.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/80583
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:
publisherAmerican Society of Civil Engineers
titleApplication of Unsupervised Clustering Techniques for Management Zone Delineation: Case Study of Variable Rate Irrigation in Southern Alberta, Canada
typeJournal Paper
journal volume142
journal issue1
journal titleJournal of Irrigation and Drainage Engineering
identifier doi10.1061/(ASCE)IR.1943-4774.0000936
treeJournal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 001
contenttypeFulltext


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