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Journal ArticleDOI

Optimal Crop Planning and Conjunctive Use of Water Resources in a Coastal River Basin

TLDR
In this article, two models have been developed viz. groundwater balance model and optimum cropping and groundwater management model to determine the optimal cropping pattern and allocation from private and government tubewells according to different soil types (saline and non-saline), type of agriculture (rainfed and irrigated) and seasons (monsoon and winter).
Abstract
Due to increasing trend of intensive rice cultivation in a coastal river basin, crop planning and groundwater management are imperative for the sustainable agriculture. For effective management, two models have been developed viz. groundwater balance model and optimum cropping and groundwater management model to determine optimum cropping pattern and groundwater allocation from private and government tubewells according to different soil types (saline and non-saline), type of agriculture (rainfed and irrigated) and seasons (monsoon and winter). A groundwater balance model has been developed considering mass balance approach. The components of the groundwater balance considered are recharge from rainfall, irrigated rice and non-rice fields, base flow from rivers and seepage flow from surface drains. In the second phase, a linear programming optimization model is developed for optimal cropping and groundwater management for maximizing the economic returns. The models developed were applied to a portion of coastal river basin in Orissa State, India and optimal cropping pattern for various scenarios of river flow and groundwater availability was obtained.

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Journal ArticleDOI

An overview of the optimization modelling applications

TL;DR: The comprehensive reviews on the use of various programming techniques for the solution of different optimization problems have been provided and conclusions are drawn where gaps exist and more research needs to be focused.
Journal ArticleDOI

Simulation-Optimization Modeling of Conjunctive Use of Surface Water and Groundwater

TL;DR: In this article, the simulation-optimization for conjunctive use of surface water and groundwater on a basin-wide scale, the Najafabad plain in west-central Iran was studied.
Journal ArticleDOI

Optimal crop planning and water resources allocation in a coastal groundwater basin, Orissa, India

TL;DR: In this paper, the authors developed deterministic linear programming and chance-constrained linear programming (CCLP) models to allocate available land and water resources optimally on seasonal basis so as to maximize the net annual return from the study area.
Journal ArticleDOI

Irrigation planning using Genetic Algorithms

TL;DR: In this article, the application of GA for irrigation planning is discussed and the GA technique is used to evolve efficient cropping pattern for maximizing benefits for an irrigation project in India, the results obtained by GA are compared with Linear Programming solution and found to be reasonably close.
Journal ArticleDOI

Optimal land and water resources allocation policies for sustainable irrigated agriculture

TL;DR: In this paper, a linear programming (LP) model has been developed for optimal land and water resources allocation in various sectors of the Hirakud Canal Command, a multi-purpose irrigation project on the river Mahanadi in eastern India.
References
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Book

Crop evapotranspiration : guidelines for computing crop water requirements

TL;DR: In this paper, an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients is presented, based on the FAO Penman-Monteith method.
Journal ArticleDOI

Reference Crop Evapotranspiration from Temperature

TL;DR: In this paper, an equation is presented that estimates ETo from measured values of daily or mean values of maximum and minimum temperature. But this equation is compared with various other methods for estimating ETo.

Guidelines for predicting crop water requirements

J. Doorenbos
TL;DR: Guidelines for predicting crop water requirements as mentioned in this paper, which are based on guidelines for predicting water requirements, are used to predict water requirements in the field of crop water forecasting, and they can be found in Table 1.
Book

Guidelines for predicting crop water requirements

J. Doorenbos
TL;DR: Guidelines for predicting crop water requirements as discussed by the authors, which are based on guidelines for predicting water requirements, are used to predict water requirements in the field of crop water forecasting, and they can be found in Table 1.
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