Improving Irrigation Performance by Using Adaptive Border Irrigation System

Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviat...
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Autor*in:	Kaihua Liu [verfasserIn] Xiyun Jiao [verfasserIn] Weihua Guo [verfasserIn] Zhe Gu [verfasserIn] Jiang Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	border irrigation automatic inflow rate adjustment irrigation performance

Übergeordnetes Werk:	In: Agronomy - MDPI AG, 2012, 13(2023), 12, p 2907
Übergeordnetes Werk:	volume:13 ; year:2023 ; number:12, p 2907

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/agronomy13122907

Katalog-ID:	DOAJ098926411

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520			\|a Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviation and the optimal adjustment inflow rate, thereby avoiding the real-time calculation of infiltration parameters required by traditional real-time control irrigation systems. During the irrigation process, the inflow rate is automatically adjusted based only on the advance time deviation of the observation points. The proposed system greatly simplifies the calculation and reduces the requirements for field computing equipment compared with traditional real-time control irrigation systems. Field validation experiments show that the proposed system provides high-quality irrigation by improving the application efficiency, distribution uniformity, and comprehensive irrigation performance by 11.3%, 10.7%, and 11.0%, respectively. A sensitivity analysis indicates that the proposed system maintains a satisfactory irrigation performance for all scenarios of variations in natural parameters, flow rates, and border length. Due to its satisfactory irrigation performance, robustness, facile operation, and economical merit compared with traditional real-time control irrigation systems, the proposed system has the potential to be widely applied.
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allfields	10.3390/agronomy13122907 doi (DE-627)DOAJ098926411 (DE-599)DOAJdc528f7d86824fb7a88ede0a51cd5ef1 DE-627 ger DE-627 rakwb eng Kaihua Liu verfasserin aut Improving Irrigation Performance by Using Adaptive Border Irrigation System 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviation and the optimal adjustment inflow rate, thereby avoiding the real-time calculation of infiltration parameters required by traditional real-time control irrigation systems. During the irrigation process, the inflow rate is automatically adjusted based only on the advance time deviation of the observation points. The proposed system greatly simplifies the calculation and reduces the requirements for field computing equipment compared with traditional real-time control irrigation systems. Field validation experiments show that the proposed system provides high-quality irrigation by improving the application efficiency, distribution uniformity, and comprehensive irrigation performance by 11.3%, 10.7%, and 11.0%, respectively. A sensitivity analysis indicates that the proposed system maintains a satisfactory irrigation performance for all scenarios of variations in natural parameters, flow rates, and border length. Due to its satisfactory irrigation performance, robustness, facile operation, and economical merit compared with traditional real-time control irrigation systems, the proposed system has the potential to be widely applied. border irrigation automatic inflow rate adjustment irrigation performance Agriculture S Xiyun Jiao verfasserin aut Weihua Guo verfasserin aut Zhe Gu verfasserin aut Jiang Li verfasserin aut In Agronomy MDPI AG, 2012 13(2023), 12, p 2907 (DE-627)658000543 (DE-600)2607043-1 20734395 nnns volume:13 year:2023 number:12, p 2907 https://doi.org/10.3390/agronomy13122907 kostenfrei https://doaj.org/article/dc528f7d86824fb7a88ede0a51cd5ef1 kostenfrei https://www.mdpi.com/2073-4395/13/12/2907 kostenfrei https://doaj.org/toc/2073-4395 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 12, p 2907
spelling	10.3390/agronomy13122907 doi (DE-627)DOAJ098926411 (DE-599)DOAJdc528f7d86824fb7a88ede0a51cd5ef1 DE-627 ger DE-627 rakwb eng Kaihua Liu verfasserin aut Improving Irrigation Performance by Using Adaptive Border Irrigation System 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviation and the optimal adjustment inflow rate, thereby avoiding the real-time calculation of infiltration parameters required by traditional real-time control irrigation systems. During the irrigation process, the inflow rate is automatically adjusted based only on the advance time deviation of the observation points. The proposed system greatly simplifies the calculation and reduces the requirements for field computing equipment compared with traditional real-time control irrigation systems. Field validation experiments show that the proposed system provides high-quality irrigation by improving the application efficiency, distribution uniformity, and comprehensive irrigation performance by 11.3%, 10.7%, and 11.0%, respectively. A sensitivity analysis indicates that the proposed system maintains a satisfactory irrigation performance for all scenarios of variations in natural parameters, flow rates, and border length. Due to its satisfactory irrigation performance, robustness, facile operation, and economical merit compared with traditional real-time control irrigation systems, the proposed system has the potential to be widely applied. border irrigation automatic inflow rate adjustment irrigation performance Agriculture S Xiyun Jiao verfasserin aut Weihua Guo verfasserin aut Zhe Gu verfasserin aut Jiang Li verfasserin aut In Agronomy MDPI AG, 2012 13(2023), 12, p 2907 (DE-627)658000543 (DE-600)2607043-1 20734395 nnns volume:13 year:2023 number:12, p 2907 https://doi.org/10.3390/agronomy13122907 kostenfrei https://doaj.org/article/dc528f7d86824fb7a88ede0a51cd5ef1 kostenfrei https://www.mdpi.com/2073-4395/13/12/2907 kostenfrei https://doaj.org/toc/2073-4395 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 12, p 2907
allfields_unstemmed	10.3390/agronomy13122907 doi (DE-627)DOAJ098926411 (DE-599)DOAJdc528f7d86824fb7a88ede0a51cd5ef1 DE-627 ger DE-627 rakwb eng Kaihua Liu verfasserin aut Improving Irrigation Performance by Using Adaptive Border Irrigation System 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviation and the optimal adjustment inflow rate, thereby avoiding the real-time calculation of infiltration parameters required by traditional real-time control irrigation systems. During the irrigation process, the inflow rate is automatically adjusted based only on the advance time deviation of the observation points. The proposed system greatly simplifies the calculation and reduces the requirements for field computing equipment compared with traditional real-time control irrigation systems. Field validation experiments show that the proposed system provides high-quality irrigation by improving the application efficiency, distribution uniformity, and comprehensive irrigation performance by 11.3%, 10.7%, and 11.0%, respectively. A sensitivity analysis indicates that the proposed system maintains a satisfactory irrigation performance for all scenarios of variations in natural parameters, flow rates, and border length. Due to its satisfactory irrigation performance, robustness, facile operation, and economical merit compared with traditional real-time control irrigation systems, the proposed system has the potential to be widely applied. border irrigation automatic inflow rate adjustment irrigation performance Agriculture S Xiyun Jiao verfasserin aut Weihua Guo verfasserin aut Zhe Gu verfasserin aut Jiang Li verfasserin aut In Agronomy MDPI AG, 2012 13(2023), 12, p 2907 (DE-627)658000543 (DE-600)2607043-1 20734395 nnns volume:13 year:2023 number:12, p 2907 https://doi.org/10.3390/agronomy13122907 kostenfrei https://doaj.org/article/dc528f7d86824fb7a88ede0a51cd5ef1 kostenfrei https://www.mdpi.com/2073-4395/13/12/2907 kostenfrei https://doaj.org/toc/2073-4395 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 12, p 2907
allfieldsGer	10.3390/agronomy13122907 doi (DE-627)DOAJ098926411 (DE-599)DOAJdc528f7d86824fb7a88ede0a51cd5ef1 DE-627 ger DE-627 rakwb eng Kaihua Liu verfasserin aut Improving Irrigation Performance by Using Adaptive Border Irrigation System 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviation and the optimal adjustment inflow rate, thereby avoiding the real-time calculation of infiltration parameters required by traditional real-time control irrigation systems. During the irrigation process, the inflow rate is automatically adjusted based only on the advance time deviation of the observation points. The proposed system greatly simplifies the calculation and reduces the requirements for field computing equipment compared with traditional real-time control irrigation systems. Field validation experiments show that the proposed system provides high-quality irrigation by improving the application efficiency, distribution uniformity, and comprehensive irrigation performance by 11.3%, 10.7%, and 11.0%, respectively. A sensitivity analysis indicates that the proposed system maintains a satisfactory irrigation performance for all scenarios of variations in natural parameters, flow rates, and border length. Due to its satisfactory irrigation performance, robustness, facile operation, and economical merit compared with traditional real-time control irrigation systems, the proposed system has the potential to be widely applied. border irrigation automatic inflow rate adjustment irrigation performance Agriculture S Xiyun Jiao verfasserin aut Weihua Guo verfasserin aut Zhe Gu verfasserin aut Jiang Li verfasserin aut In Agronomy MDPI AG, 2012 13(2023), 12, p 2907 (DE-627)658000543 (DE-600)2607043-1 20734395 nnns volume:13 year:2023 number:12, p 2907 https://doi.org/10.3390/agronomy13122907 kostenfrei https://doaj.org/article/dc528f7d86824fb7a88ede0a51cd5ef1 kostenfrei https://www.mdpi.com/2073-4395/13/12/2907 kostenfrei https://doaj.org/toc/2073-4395 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 12, p 2907
allfieldsSound	10.3390/agronomy13122907 doi (DE-627)DOAJ098926411 (DE-599)DOAJdc528f7d86824fb7a88ede0a51cd5ef1 DE-627 ger DE-627 rakwb eng Kaihua Liu verfasserin aut Improving Irrigation Performance by Using Adaptive Border Irrigation System 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviation and the optimal adjustment inflow rate, thereby avoiding the real-time calculation of infiltration parameters required by traditional real-time control irrigation systems. During the irrigation process, the inflow rate is automatically adjusted based only on the advance time deviation of the observation points. The proposed system greatly simplifies the calculation and reduces the requirements for field computing equipment compared with traditional real-time control irrigation systems. Field validation experiments show that the proposed system provides high-quality irrigation by improving the application efficiency, distribution uniformity, and comprehensive irrigation performance by 11.3%, 10.7%, and 11.0%, respectively. A sensitivity analysis indicates that the proposed system maintains a satisfactory irrigation performance for all scenarios of variations in natural parameters, flow rates, and border length. Due to its satisfactory irrigation performance, robustness, facile operation, and economical merit compared with traditional real-time control irrigation systems, the proposed system has the potential to be widely applied. border irrigation automatic inflow rate adjustment irrigation performance Agriculture S Xiyun Jiao verfasserin aut Weihua Guo verfasserin aut Zhe Gu verfasserin aut Jiang Li verfasserin aut In Agronomy MDPI AG, 2012 13(2023), 12, p 2907 (DE-627)658000543 (DE-600)2607043-1 20734395 nnns volume:13 year:2023 number:12, p 2907 https://doi.org/10.3390/agronomy13122907 kostenfrei https://doaj.org/article/dc528f7d86824fb7a88ede0a51cd5ef1 kostenfrei https://www.mdpi.com/2073-4395/13/12/2907 kostenfrei https://doaj.org/toc/2073-4395 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2023 12, p 2907
language	English
source	In Agronomy 13(2023), 12, p 2907 volume:13 year:2023 number:12, p 2907
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author	Kaihua Liu
spellingShingle	Kaihua Liu misc border irrigation misc automatic inflow rate adjustment misc irrigation performance misc Agriculture misc S Improving Irrigation Performance by Using Adaptive Border Irrigation System
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topic_title	Improving Irrigation Performance by Using Adaptive Border Irrigation System border irrigation automatic inflow rate adjustment irrigation performance
topic	misc border irrigation misc automatic inflow rate adjustment misc irrigation performance misc Agriculture misc S
topic_unstemmed	misc border irrigation misc automatic inflow rate adjustment misc irrigation performance misc Agriculture misc S
topic_browse	misc border irrigation misc automatic inflow rate adjustment misc irrigation performance misc Agriculture misc S
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title	Improving Irrigation Performance by Using Adaptive Border Irrigation System
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title_full	Improving Irrigation Performance by Using Adaptive Border Irrigation System
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title_sort	improving irrigation performance by using adaptive border irrigation system
title_auth	Improving Irrigation Performance by Using Adaptive Border Irrigation System
abstract	Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviation and the optimal adjustment inflow rate, thereby avoiding the real-time calculation of infiltration parameters required by traditional real-time control irrigation systems. During the irrigation process, the inflow rate is automatically adjusted based only on the advance time deviation of the observation points. The proposed system greatly simplifies the calculation and reduces the requirements for field computing equipment compared with traditional real-time control irrigation systems. Field validation experiments show that the proposed system provides high-quality irrigation by improving the application efficiency, distribution uniformity, and comprehensive irrigation performance by 11.3%, 10.7%, and 11.0%, respectively. A sensitivity analysis indicates that the proposed system maintains a satisfactory irrigation performance for all scenarios of variations in natural parameters, flow rates, and border length. Due to its satisfactory irrigation performance, robustness, facile operation, and economical merit compared with traditional real-time control irrigation systems, the proposed system has the potential to be widely applied.
abstractGer	Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviation and the optimal adjustment inflow rate, thereby avoiding the real-time calculation of infiltration parameters required by traditional real-time control irrigation systems. During the irrigation process, the inflow rate is automatically adjusted based only on the advance time deviation of the observation points. The proposed system greatly simplifies the calculation and reduces the requirements for field computing equipment compared with traditional real-time control irrigation systems. Field validation experiments show that the proposed system provides high-quality irrigation by improving the application efficiency, distribution uniformity, and comprehensive irrigation performance by 11.3%, 10.7%, and 11.0%, respectively. A sensitivity analysis indicates that the proposed system maintains a satisfactory irrigation performance for all scenarios of variations in natural parameters, flow rates, and border length. Due to its satisfactory irrigation performance, robustness, facile operation, and economical merit compared with traditional real-time control irrigation systems, the proposed system has the potential to be widely applied.
abstract_unstemmed	Shortages of water resources and labor make it urgent to improve irrigation efficiency and automation. To respond to this need, this study demonstrates the development of an adaptive border irrigation system. The inflow is adjusted based on the functional relationship between the advance time deviation and the optimal adjustment inflow rate, thereby avoiding the real-time calculation of infiltration parameters required by traditional real-time control irrigation systems. During the irrigation process, the inflow rate is automatically adjusted based only on the advance time deviation of the observation points. The proposed system greatly simplifies the calculation and reduces the requirements for field computing equipment compared with traditional real-time control irrigation systems. Field validation experiments show that the proposed system provides high-quality irrigation by improving the application efficiency, distribution uniformity, and comprehensive irrigation performance by 11.3%, 10.7%, and 11.0%, respectively. A sensitivity analysis indicates that the proposed system maintains a satisfactory irrigation performance for all scenarios of variations in natural parameters, flow rates, and border length. Due to its satisfactory irrigation performance, robustness, facile operation, and economical merit compared with traditional real-time control irrigation systems, the proposed system has the potential to be widely applied.
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title_short	Improving Irrigation Performance by Using Adaptive Border Irrigation System
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