Irrigation Scheduling Approaches and Applications: A ReviewSource: Journal of Irrigation and Drainage Engineering:;2020:;Volume ( 146 ):;issue: 006DOI: 10.1061/(ASCE)IR.1943-4774.0001464Publisher: ASCE
Abstract: In an effort to improve plant growth and to achieve high yield and/or quality, irrigation scheduling (IS) seeks to provide plants with appropriate quantities of water at appropriate times. To better understand irrigation scheduling’s main processes and principles, its four most common methods of operation—(1) evapotranspiration and water balance (ET-WB), (2) soil moisture (Θ) status, (3) plant water status, and (4) models—along with their pros and cons are introduced and compared. Irrigation applications, including software, programs, and associated controllers are introduced. Given that some of these methods focus on Θ or plant responses to soil moisture, the determination of target soil moisture levels, along with estimates (either calculated or measured) of current soil moisture status are key to both scheduling irrigations, and the precise replenishment of soil moisture to target levels. Accordingly, factors in the soil-crop-atmosphere system affecting soil moisture must be considered in the scheduling process. As all four types of IS methods focus on soil water content, which serves as a bridge between irrigation management and crop water requirements for growth, future scheduling methods should focus on the management of soil moisture based on an advanced understanding of its effects on crop growth either by the integration of existing IS methods or the development of new models, using intelligent algorithms. Using these approaches, more practical, accurate, and easily adaptable IS applications should be developed for real-time farming operations. Weather station networks and online data access should be enhanced to better serve these IS applications.
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contributor author | Zhe Gu | |
contributor author | Zhiming Qi | |
contributor author | Rasika Burghate | |
contributor author | Shouqi Yuan | |
contributor author | Xiyun Jiao | |
contributor author | Junzeng Xu | |
date accessioned | 2022-01-30T19:45:38Z | |
date available | 2022-01-30T19:45:38Z | |
date issued | 2020 | |
identifier other | %28ASCE%29IR.1943-4774.0001464.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4265928 | |
description abstract | In an effort to improve plant growth and to achieve high yield and/or quality, irrigation scheduling (IS) seeks to provide plants with appropriate quantities of water at appropriate times. To better understand irrigation scheduling’s main processes and principles, its four most common methods of operation—(1) evapotranspiration and water balance (ET-WB), (2) soil moisture (Θ) status, (3) plant water status, and (4) models—along with their pros and cons are introduced and compared. Irrigation applications, including software, programs, and associated controllers are introduced. Given that some of these methods focus on Θ or plant responses to soil moisture, the determination of target soil moisture levels, along with estimates (either calculated or measured) of current soil moisture status are key to both scheduling irrigations, and the precise replenishment of soil moisture to target levels. Accordingly, factors in the soil-crop-atmosphere system affecting soil moisture must be considered in the scheduling process. As all four types of IS methods focus on soil water content, which serves as a bridge between irrigation management and crop water requirements for growth, future scheduling methods should focus on the management of soil moisture based on an advanced understanding of its effects on crop growth either by the integration of existing IS methods or the development of new models, using intelligent algorithms. Using these approaches, more practical, accurate, and easily adaptable IS applications should be developed for real-time farming operations. Weather station networks and online data access should be enhanced to better serve these IS applications. | |
publisher | ASCE | |
title | Irrigation Scheduling Approaches and Applications: A Review | |
type | Journal Paper | |
journal volume | 146 | |
journal issue | 6 | |
journal title | Journal of Irrigation and Drainage Engineering | |
identifier doi | 10.1061/(ASCE)IR.1943-4774.0001464 | |
page | 04020007 | |
tree | Journal of Irrigation and Drainage Engineering:;2020:;Volume ( 146 ):;issue: 006 | |
contenttype | Fulltext |