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Irrigation Planning and Management Through Optimization Modelling

by Singh, Ajay

in Agricultural production / Agriculture / Aquifers / Atmospheric Sciences / Canals / Civil Engineering / Decision making / Dynamic programming / Earth and Environmental Science / Earth Sciences / Earth, ocean, space / Environment / Environmental studies / Exact sciences and technology / Farm income / Farming / Farms / flooded conditions / Food security / Food supply / Foods / Genetic algorithms / Geotechnical Engineering & Applied Earth Sciences / Ground-water depletion / Groundwater / Groundwater depletion / Hydrogeology / Hydrology / Hydrology. Hydrogeology / Hydrology/Water Resources / irrigated farming / Irrigation / irrigation management / Linear programming / Literature reviews / livelihood / Management / Minimization / net farm income / Nonlinear programming / Optimization / Optimization techniques / Planning / Programming / Random variables / Surface water / Water resources / Water resources management / Waterlogging

2014

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Irrigation Planning and Management Through Optimization Modelling

by Singh, Ajay

2014

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Irrigation Planning and Management Through Optimization Modelling

by Singh, Ajay

2014

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Journal Article

Irrigation Planning and Management Through Optimization Modelling

Singh, Ajay

2014

Overview

Proper planning and management of irrigation is vital in achieving food security for the burgeoning global population and sustaining livelihoods. Because irrigated agriculture is expected to provide more food, if managed properly. The comprehensive reviews on the use of various programming techniques used for planning and management of irrigation have been provided in this paper. The literature review revealed that the management models used in the past mainly considered the objectives of maximization of net farm income, minimization of waterlogging, and minimization of groundwater depletion. These objectives were achieved by optimizing the allocation of available land and water resources. The past reviews are grouped into four sections based on the programming techniques adopted. The sections include: linear programming, nonlinear programming, dynamic programming, and genetic algorithms. This review provides the basis for the selection of appropriate methodology for the planning and management of irrigation.

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Publisher

Springer Netherlands,Springer,Springer Nature B.V

Subject

Agricultural production

/ Agriculture

/ Aquifers

/ Atmospheric Sciences

/ Canals

/ Civil Engineering

/ Decision making