Modelling impacts of precision irrigation on crop yield and in-field water management
Precision irrigation technologies are being widely promoted to resolve challenges regarding improving crop productivity under conditions of increasing water scarcity. In this paper, the development of an integrated modelling approach involving the coupling of a water application model with a biophys...
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Veröffentlicht in: | Precision agriculture 2018-06, Vol.19 (3), p.497-512 |
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description | Precision irrigation technologies are being widely promoted to resolve challenges regarding improving crop productivity under conditions of increasing water scarcity. In this paper, the development of an integrated modelling approach involving the coupling of a water application model with a biophysical crop simulation model (Aquacrop) to evaluate the in-field impacts of precision irrigation on crop yield and soil water management is described. The approach allows for a comparison between conventional irrigation management practices against a range of alternate so-called ‘precision irrigation’ strategies (including variable rate irrigation, VRI). It also provides a valuable framework to evaluate the agronomic (yield), water resource (irrigation use and water efficiency), energy (consumption, costs, footprint) and environmental (nitrate leaching, drainage) impacts under contrasting irrigation management scenarios. The approach offers scope for including feedback loops to help define appropriate irrigation management zones and refine application depths accordingly for scheduling irrigation. The methodology was applied to a case study in eastern England to demonstrate the utility of the framework and the impacts of precision irrigation in a humid climate on a high-value field crop (onions). For the case study, the simulations showed how VRI is a potentially useful approach for irrigation management even in a humid environment to save water and reduce deep percolation losses (drainage). It also helped to increase crop yield due to improved control of soil water in the root zone, especially during a dry season. |
doi_str_mv | 10.1007/s11119-017-9535-4 |
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It also provides a valuable framework to evaluate the agronomic (yield), water resource (irrigation use and water efficiency), energy (consumption, costs, footprint) and environmental (nitrate leaching, drainage) impacts under contrasting irrigation management scenarios. The approach offers scope for including feedback loops to help define appropriate irrigation management zones and refine application depths accordingly for scheduling irrigation. The methodology was applied to a case study in eastern England to demonstrate the utility of the framework and the impacts of precision irrigation in a humid climate on a high-value field crop (onions). For the case study, the simulations showed how VRI is a potentially useful approach for irrigation management even in a humid environment to save water and reduce deep percolation losses (drainage). It also helped to increase crop yield due to improved control of soil water in the root zone, especially during a dry season.</description><identifier>ISSN: 1385-2256</identifier><identifier>EISSN: 1573-1618</identifier><identifier>DOI: 10.1007/s11119-017-9535-4</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Agricultural production ; Agriculture ; Agronomy ; Atmospheric Sciences ; Biomedical and Life Sciences ; Case studies ; Chemistry and Earth Sciences ; Computer Science ; Computer simulation ; Control theory ; Crop production ; Crop yield ; Crops ; Deep percolation ; Drainage ; Drainage control ; Drainage management ; Dry season ; Energy consumption ; Energy costs ; Environmental impact ; Feedback loops ; Humid climates ; Irrigation ; Irrigation efficiency ; Irrigation water ; Leaching ; Life Sciences ; Modelling ; Moisture content ; Physics ; Remote Sensing/Photogrammetry ; Root zone ; Soil improvement ; Soil management ; Soil Science & Conservation ; Soil water ; Statistics for Engineering ; Water management ; Water resources ; Water scarcity</subject><ispartof>Precision agriculture, 2018-06, Vol.19 (3), p.497-512</ispartof><rights>The Author(s) 2017</rights><rights>Precision Agriculture is a copyright of Springer, (2017). 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A.</creatorcontrib><creatorcontrib>Camacho Poyato, E.</creatorcontrib><creatorcontrib>Knox, J. W.</creatorcontrib><title>Modelling impacts of precision irrigation on crop yield and in-field water management</title><title>Precision agriculture</title><addtitle>Precision Agric</addtitle><description>Precision irrigation technologies are being widely promoted to resolve challenges regarding improving crop productivity under conditions of increasing water scarcity. In this paper, the development of an integrated modelling approach involving the coupling of a water application model with a biophysical crop simulation model (Aquacrop) to evaluate the in-field impacts of precision irrigation on crop yield and soil water management is described. The approach allows for a comparison between conventional irrigation management practices against a range of alternate so-called ‘precision irrigation’ strategies (including variable rate irrigation, VRI). It also provides a valuable framework to evaluate the agronomic (yield), water resource (irrigation use and water efficiency), energy (consumption, costs, footprint) and environmental (nitrate leaching, drainage) impacts under contrasting irrigation management scenarios. The approach offers scope for including feedback loops to help define appropriate irrigation management zones and refine application depths accordingly for scheduling irrigation. The methodology was applied to a case study in eastern England to demonstrate the utility of the framework and the impacts of precision irrigation in a humid climate on a high-value field crop (onions). For the case study, the simulations showed how VRI is a potentially useful approach for irrigation management even in a humid environment to save water and reduce deep percolation losses (drainage). 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A.</au><au>Camacho Poyato, E.</au><au>Knox, J. W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling impacts of precision irrigation on crop yield and in-field water management</atitle><jtitle>Precision agriculture</jtitle><stitle>Precision Agric</stitle><date>2018-06-01</date><risdate>2018</risdate><volume>19</volume><issue>3</issue><spage>497</spage><epage>512</epage><pages>497-512</pages><issn>1385-2256</issn><eissn>1573-1618</eissn><abstract>Precision irrigation technologies are being widely promoted to resolve challenges regarding improving crop productivity under conditions of increasing water scarcity. In this paper, the development of an integrated modelling approach involving the coupling of a water application model with a biophysical crop simulation model (Aquacrop) to evaluate the in-field impacts of precision irrigation on crop yield and soil water management is described. The approach allows for a comparison between conventional irrigation management practices against a range of alternate so-called ‘precision irrigation’ strategies (including variable rate irrigation, VRI). It also provides a valuable framework to evaluate the agronomic (yield), water resource (irrigation use and water efficiency), energy (consumption, costs, footprint) and environmental (nitrate leaching, drainage) impacts under contrasting irrigation management scenarios. The approach offers scope for including feedback loops to help define appropriate irrigation management zones and refine application depths accordingly for scheduling irrigation. The methodology was applied to a case study in eastern England to demonstrate the utility of the framework and the impacts of precision irrigation in a humid climate on a high-value field crop (onions). 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subjects | Agricultural production Agriculture Agronomy Atmospheric Sciences Biomedical and Life Sciences Case studies Chemistry and Earth Sciences Computer Science Computer simulation Control theory Crop production Crop yield Crops Deep percolation Drainage Drainage control Drainage management Dry season Energy consumption Energy costs Environmental impact Feedback loops Humid climates Irrigation Irrigation efficiency Irrigation water Leaching Life Sciences Modelling Moisture content Physics Remote Sensing/Photogrammetry Root zone Soil improvement Soil management Soil Science & Conservation Soil water Statistics for Engineering Water management Water resources Water scarcity |
title | Modelling impacts of precision irrigation on crop yield and in-field water management |
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