Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management
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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/1/228 |
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| author | Manuel Forcén-Muñoz Nieves Pavón-Pulido Juan Antonio López-Riquelme Abdelmalek Temnani-Rajjaf Pablo Berríos Raul Morais Alejandro Pérez-Pastor |
| author_facet | Manuel Forcén-Muñoz Nieves Pavón-Pulido Juan Antonio López-Riquelme Abdelmalek Temnani-Rajjaf Pablo Berríos Raul Morais Alejandro Pérez-Pastor |
| author_sort | Manuel Forcén-Muñoz |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T03:20:51Z |
| format | Article |
| id | doaj.art-2b6dc63f4cd44af483482705ffbab5f1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:20:51Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2b6dc63f4cd44af483482705ffbab5f12023-11-23T12:18:58ZengMDPI AGSensors1424-82202021-12-0122122810.3390/s22010228Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation ManagementManuel Forcén-Muñoz0Nieves Pavón-Pulido1Juan Antonio López-Riquelme2Abdelmalek Temnani-Rajjaf3Pablo Berríos4Raul Morais5Alejandro Pérez-Pastor6Agronomic Engineering Department, Agronomic Engineering Technical School, Alfonso XIII Campus, Technical University of Cartagena, 30203 Cartagena, SpainAutomation, Electrical Engineering and Electronic Technology Department, Industrial Engineering Technical School, Muralla del Mar Campus, Technical University of Cartagena, 30202 Cartagena, SpainAutomation, Electrical Engineering and Electronic Technology Department, Industrial Engineering Technical School, Muralla del Mar Campus, Technical University of Cartagena, 30202 Cartagena, SpainAgronomic Engineering Department, Agronomic Engineering Technical School, Alfonso XIII Campus, Technical University of Cartagena, 30203 Cartagena, SpainAgronomic Engineering Department, Agronomic Engineering Technical School, Alfonso XIII Campus, Technical University of Cartagena, 30203 Cartagena, SpainINESC TEC—Institute for Systems and Computer Engineering, Technology and Science, Pólo da UTAD, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, PortugalAgronomic Engineering Department, Agronomic Engineering Technical School, Alfonso XIII Campus, Technical University of Cartagena, 30203 Cartagena, SpainCrop 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.https://www.mdpi.com/1424-8220/22/1/228intelligent irrigationGIScloud systemsprecision agriculturecrop sustainability |
| spellingShingle | Manuel Forcén-Muñoz Nieves Pavón-Pulido Juan Antonio López-Riquelme Abdelmalek Temnani-Rajjaf Pablo Berríos Raul Morais Alejandro Pérez-Pastor Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management Sensors intelligent irrigation GIS cloud systems precision agriculture crop sustainability |
| title | Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management |
| title_full | Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management |
| title_fullStr | Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management |
| title_full_unstemmed | Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management |
| title_short | Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management |
| title_sort | irriman platform enhancing farming sustainability through cloud computing techniques for irrigation management |
| topic | intelligent irrigation GIS cloud systems precision agriculture crop sustainability |
| url | https://www.mdpi.com/1424-8220/22/1/228 |
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