Content Provider	IEEE Xplore Digital Library
Author	Ioslovich, Ilya Linker, Raphael
Copyright Year	2015
Description	Author affiliation: Faculty of Civil and Environmental Engineering, Technion-Israel Institute of Technology, 32000 Haifa, Israel (Ioslovich, Ilya; Linker, Raphael)
Abstract	Water stress is one of the most influential factors contributing to crop yield loss. The importance of the irrigation constantly increases because of water scarcity and growing demand for agricultural production worldwide. Previously, an approach using empirical water production functions and analytic optimal control methodology has been developed for optimal irrigation scheduling. Such an approach based on numerical optimal control is an alternative to common irrigation scheduling based on agronomy practice. Nowadays, more complex dynamic crop simulation models, such as the FAO AquaCrop model, predict crop responses to different irrigation strategies and climates. The state variables of the AquaCrop model include crop characteristics, such as biomass, and soil water content in up to 12 soil layers. In this paper the numerical optimal control scheme for irrigation scheduling and crop water production function development is described and demonstrated using this model and the TOMLAB optimization library. Maize crop in Foggia, Italy, for season of the year 2000, is used as an illustrative case study.
Starting Page	49
Ending Page	52
File Size	71415
Page Count	4
File Format	PDF
ISBN	9789897581496
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-21
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	SCITEPRESS
Subject Keyword	Irrigation Biological system modeling Optimal control Production Soil Irrigation Scheduling Optimal Control Optimization
Content Type	Text
Resource Type	Article

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