Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/s22010228 |
Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management | |
Forcen-Munoz, Manuel; Pavon-Pulido, Nieves; Lopez-Riquelme, Juan Antonio; Temnani-Rajjaf, Abdelmalek; Berrios, Pablo; Morais, Raul; Perez-Pastor, Alejandro | |
通讯作者 | Pavon-Pulido, N (corresponding author),Tech Univ Cartagena, Automat Elect Engn & Elect Technol Dept, Ind Engn Tech Sch, Muralla Mar Campus, Cartagena 30202, Spain. |
来源期刊 | SENSORS |
EISSN | 1424-8220 |
出版年 | 2022 |
卷号 | 22期号:1 |
英文摘要 | Crop sustainability is essential for balancing economic development and environmental care, mainly in strong and very competitive regions in the agri-food sector, such as the Region of Murcia in Spain, considered to be the orchard of Europe, despite being a semi-arid area with an important scarcity of fresh water. In this region, farmers apply efficient techniques to minimize supplies and maximize quality and productivity; however, the effects of climate change and the degradation of significant natural environments, such as, the Mar Menor, the most extent saltwater lagoon of Europe, threatened by resources overexploitation, lead to the search of even better irrigation management techniques to avoid certain effects which could damage the quaternary aquifer connected to such lagoon. This paper describes the Irriman Platform, a system based on Cloud Computing techniques, which includes low-cost wireless data loggers, capable of acquiring data from a wide range of agronomic sensors, and a novel software architecture for safely storing and processing such information, making crop monitoring and irrigation management easier. The proposed platform helps agronomists to optimize irrigation procedures through a usable web-based tool which allows them to elaborate irrigation plans and to evaluate their effectiveness over crops. The system has been deployed in a large number of representative crops, located along near 50,000 ha of the surface, during several phenological cycles. Results demonstrate that the system enables crop monitoring and irrigation optimization, and makes interaction between farmers and agronomists easier. |
英文关键词 | intelligent irrigation GIS cloud systems precision agriculture crop sustainability |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold, Green Published |
收录类别 | SCI-E |
WOS记录号 | WOS:000752856400001 |
WOS关键词 | DEFICIT IRRIGATION ; PRECISION AGRICULTURE ; WATER STATUS ; ARCHITECTURE ; PLANT |
WOS类目 | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/376711 |
作者单位 | [Forcen-Munoz, Manuel; Temnani-Rajjaf, Abdelmalek; Berrios, Pablo; Perez-Pastor, Alejandro] Tech Univ Cartagena, Agron Engn Tech Sch, Agron Engn Dept, Alfonso XIII Campus, Cartagena 30203, Spain; [Pavon-Pulido, Nieves; Lopez-Riquelme, Juan Antonio] Tech Univ Cartagena, Automat Elect Engn & Elect Technol Dept, Ind Engn Tech Sch, Muralla Mar Campus, Cartagena 30202, Spain; [Morais, Raul] Univ Tras Os Montes & Alto Douro, INESC TEC Inst Syst & Comp Engn, Technol & Sci, Polo UTAD, P-5000801 Vila Real, Portugal |
推荐引用方式 GB/T 7714 | Forcen-Munoz, Manuel,Pavon-Pulido, Nieves,Lopez-Riquelme, Juan Antonio,et al. Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management[J],2022,22(1). |
APA | Forcen-Munoz, Manuel.,Pavon-Pulido, Nieves.,Lopez-Riquelme, Juan Antonio.,Temnani-Rajjaf, Abdelmalek.,Berrios, Pablo.,...&Perez-Pastor, Alejandro.(2022).Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management.SENSORS,22(1). |
MLA | Forcen-Munoz, Manuel,et al."Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management".SENSORS 22.1(2022). |
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