IRRIGATION MANAGEMENT DECISION MODEL USING PROBABLISTIC HYDROLOGIC AND IRRIGATION EFFICIENCY PARAMETERS
DOI:
https://doi.org/10.4314/njt.41.346Abstract
A Bayesian decision theory optimization model was developed and applied for optimal irrigation management strategy. The model was used to select the optimum land area to be irrigated as controlled by stochastic hydrologic and probabilistic irrigation efficiency input parameters and the irrigator's own risk response function under the specified probabilistic conditions.Downloads
Issue
Section
License
The contents of the articles are the sole opinion of the author(s) and not of NIJOTECH.
NIJOTECH allows open access for distribution of the published articles in any media so long as whole (not part) of articles are distributed.
A copyright and statement of originality documents will need to be filled out clearly and signed prior to publication of an accepted article. The Copyright form can be downloaded from http://nijotech.com/downloads/COPYRIGHT%20FORM.pdf while the Statement of Originality is in http://nijotech.com/downloads/Statement%20of%20Originality.pdf
For articles that were developed from funded research, a clear acknowledgement of such support should be mentioned in the article with relevant references. Authors are expected to provide complete information on the sponsorship and intellectual property rights of the article together with all exceptions.
It is forbidden to publish the same research report in more than one journal.

