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Filtering by: Subject Irrigation scheduling Remove constraint Subject: Irrigation scheduling Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.)

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  • Optimization of seasonal irrigation scheduling by genetic algorithms

    Creator:
    Canpolat, Necati
    Abstract:
    In this work, we first introduce a novel approach to the long term irrigation scheduling using Genetic Algorithms (GAs). We explore the effectiveness of GAs in the context of optimizing nonlinear crop models and describe application requirements and implementation of the technique. GAs were found to converge quickly to near-optimal...
    Resource Type:
    Dissertation
    Full Text:
    Optimization of Seasonal Irrigation Scheduling by Genetic

  • Optimal irrigation management : a framework, model, and application for optimizing irrigation when supplies are limited

    Creator:
    Hillyer, Charles C.
    Abstract:
    Many regions in North America are experiencing water shortages, and these conditions are expected to worsen. The next generation of irrigation scheduling applications must therefore be capable of providing operational advice in support of deficit irrigation strategies. However, the theoretical, technical, and practical challenges associated with deficit irrigation scheduling are...
    Resource Type:
    Dissertation
    Full Text:
    shortages, and these conditions are expected to worsen. The next generation of irrigation scheduling

  • Addressing Data Resolution in Precision Agriculture

    Creator:
    Kelley, Jason
    Abstract:
    Irrigated agriculture constitutes the greatest consumptive water use globally, so that irrigation efficiency measures are an important part of global efforts to best utilize this limited resource. However, greater irrigation efficiency must be achieved while simultaneously maintaining or increasing crop yields and farming profitability. Incremental water use decisions are made...
    Resource Type:
    Dissertation
    Full Text:
    reliable information upon which to base operational plans and irrigation scheduling. Implementing

  • Improving soil water determination in spatially variable field using fiber optic technology and Bayesian decision theory

    Creator:
    Sayde, Chadi
    Abstract:
    Achieving and maintaining sustainability in irrigated agriculture production in the era of rapidly increasing stress on our natural resources require, among other essential actions, optimum control and management of the applied water. Thus, a significant upgrade of the currently available soil water monitoring technologies is needed. The primary goal of...
    Resource Type:
    Dissertation
    Full Text:
    irrigation scheduling decisions. The sources of information are obtained from an ET based water balance

  • Water relations in red and white clover seed crops

    Creator:
    Oliva, Ruben N.
    Abstract:
    Both red (Trifolium pratense L.) and white (Trifolium repens L.) clover seed yields can be highly variable and low in western Oregon. The objectives of this study were to: i) determine crop water requirements and supplemental irrigation timing, and ii) quantify the effects of soil and water status on inflorescence...
    Resource Type:
    Dissertation
    Full Text:
    soil water content to crop yields. Consequently, scheduling irrigation on the basis of measured plant