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Optimization of water resources for cropping pattern under sustainable conditions through fuzzy logic system

机译:通过模糊逻辑系统在可持续条件下裁剪模式的水资源优化

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The optimization problem attempts to find a suitable combination, out of many feasible combinations of resources and their allocations, which maximizes a benefit or minimizes a cost subject to given constraints expressed through simple linear algebraic expression or equations. The Fuzzy Interface System (FIS) has many applications in water resources engineering. It has been used for planning the conjunctive use of surface water in canal command regions. The proposed FIS supports the cooperation between water administration and water users, and the cultivators in relation to revising cropping patterns. Fuzzy system modelling considers the fuzziness in the variables, which can be implemented in the field. The degree of satisfaction gives the reliability of the fuzzy modelling. In the earlier studies, many researches have included the fuzziness in a linguistic form and also included either in the inflow or in the demand. Hence, it is felt necessary to carry out study on development and application of fuzzy logic systems in context with the sustainable development. The model was used in command regions under the Pench irrigation project of Maharashtra State, India for determining optimal cropping activities during kharif, rabi, and hot weather seasons so as to maximize economic returns to the agricultural producers by making most efficient use of surface water resources at different reliable flow conditions.
机译:优化问题试图找到合适的组合,其中包括许多可行的资源组合及其分配,其最大化了益处或最小化通过简单的线性代数表达式或方程表达给定约束的成本。模糊接口系统(FIS)在水资源工程中具有许多应用。它已被用于规划管道指挥区中表面水的联合用途。拟议的FIS支持水管管理和水位用户之间的合作,以及与修改裁剪模式有关的培耕机。模糊系统建模认为变量中的模糊性,可以在现场实现。满意度使得模糊建模的可靠性。在早期的研究中,许多研究已经包括语言形式的模糊性,并且还包括流入或需求。因此,有必要在可持续发展中开展关于模糊逻辑系统的开发和应用研究。该模型用于印度Maharashtra State的Pench灌溉项目下的指挥区,以确定Kharif,Rabi和Hot天气季节期间的最佳种植活动,以最大限度地利用地表水资源来最大限度地利用农业生产商的经济回报在不同的可靠流动条件下。

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