{"title":"Transforming an irrigation system to a smart irrigation system: A case study from Türkiye (Turkey)","authors":"Mehmet Akif Balta, M. I. Kulat","doi":"10.1002/ird.3004","DOIUrl":null,"url":null,"abstract":"The Imamoğlu Agricultural Irrigation Automation Project aims to revolutionize water management and allocation in agricultural irrigation through the establishment of a central management‐based system. By integrating modern irrigation technologies and systems, the project seeks to optimize water usage by monitoring key variables such as irrigation methods and plant–water–yield relationships. The electronic water management system (ESYS), at the core of this initiative, employs a geographic information system (GIS)‐based interface and real‐time data to facilitate active participation of farmers and water stakeholders. Through the utilization of deep learning technology and real‐time data analysis, the system enables timely and informed irrigation planning, resulting in significant water savings and increased productivity. The project's implementation, focused on the Imamoğlu Irrigation System, has gradually introduced a remote central management‐based agricultural irrigation automation system to 2,240 farmers. Integrated with the ESYS, this system offers benefits including enhanced water supply security, remote access to irrigation control, soil moisture monitoring, weather‐based irrigation planning and centralized plant pattern management. The project aims to promote efficient water usage, maximize food production and serve as a model for future irrigation projects. Key highlights include up to 65%–70% increase in water savings, up to 90% reduction in energy and fuel savings, up to 90% reduction in labour and personnel savings and more efficient irrigation management, among others.","PeriodicalId":505999,"journal":{"name":"Irrigation and Drainage","volume":"25 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Irrigation and Drainage","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/ird.3004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Imamoğlu Agricultural Irrigation Automation Project aims to revolutionize water management and allocation in agricultural irrigation through the establishment of a central management‐based system. By integrating modern irrigation technologies and systems, the project seeks to optimize water usage by monitoring key variables such as irrigation methods and plant–water–yield relationships. The electronic water management system (ESYS), at the core of this initiative, employs a geographic information system (GIS)‐based interface and real‐time data to facilitate active participation of farmers and water stakeholders. Through the utilization of deep learning technology and real‐time data analysis, the system enables timely and informed irrigation planning, resulting in significant water savings and increased productivity. The project's implementation, focused on the Imamoğlu Irrigation System, has gradually introduced a remote central management‐based agricultural irrigation automation system to 2,240 farmers. Integrated with the ESYS, this system offers benefits including enhanced water supply security, remote access to irrigation control, soil moisture monitoring, weather‐based irrigation planning and centralized plant pattern management. The project aims to promote efficient water usage, maximize food production and serve as a model for future irrigation projects. Key highlights include up to 65%–70% increase in water savings, up to 90% reduction in energy and fuel savings, up to 90% reduction in labour and personnel savings and more efficient irrigation management, among others.