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 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.

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Forcén-Muñoz M. Pavón-Pulido N. López-Riquelme J.A. Temnani-Rajjaf A. Berríos P. Morais R. y Pérez-Pastor A. Irriman Platform: Enhancing Farming Sustainability through Cloud Computing Techniques for Irrigation Management. MDPI, 2021. https://doi.org/10.3390/s22010228

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Retrieved: 21 Jan 2025 12:00:30
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Basic information
Resource type Article
Date of creation 2024-11-05
Date of last revision 2025-01-21
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Metadata identifier 9e72559f-fb4d-5550-909e-dc686ffeb672
Metadata language Spanish
Themes (NTI-RISP)
High-value dataset category Earth observation and environment
ISO 19115 topic category biota
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Bibliographic information
Name of the dataset creator Forcén-Muñoz, M., Pavón-Pulido, N., López-Riquelme, J.A., Temnani-Rajjaf, A., Berríos, P., Morais, R. y Pérez-Pastor, A.
Name of the dataset editor MDPI
Other identifier DOI: 10.3390/s22010228
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Email of the dataset creator manuel.forcen@edu.upct.es
Website of the dataset creator
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