WATERMED 4.0

Efficient use and management of conventional and non-conventional water resources through smart technologies applied to improve the quality and safety of Mediterranean agriculture in semi-arid areas

   

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OBJECTIVES


The objective of WATERMED 4.0 is to develop and to apply an integrated decision support system based on the Internet of Things, for managing the whole water cycle in agriculture, monitoring water resources (conventional and non -conventional) and water demands including the measure of economic, energy, social and governance factors that influence the water use efficiency in Mediterranean agricultural production areas.

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Objective 1

To study, adapt and implement technologies for reclaimed water and re-use, already validated in past EU projects by the partners, that will increase water quality and quantity, for knowledge transfer, further development and validation in other environments of the Mediterranean.
The proposed solution takes advantage of Internet of Things and Services technologies and standards, to leverage the integration and software/hardware developments of monitoring and control systems for the new advanced water systems.

Objective 2

To improve agricultural productivity in Mediterranean agrosystems (water scarcity, low quality water, etc.) by minimizing the use of water and fertilizers by optimizing the management of fertigation. For this purpose, the consortiums and the experience gained in the last projects and the new information technologies applied to different spatio-temporal scales (edaphic-climatic, agronomic, land mapping, ...) based on real-time in situ will be used and applied. soil moisture, thermo photos, multispectra photo, remote sensing, etc.

Objective 3

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Objective 4

To analyse the potential of agrophotovoltaic applications (APV) with respect to a reduction of irrigation needs through shadowing, PV-based water treatment of low quality water (LQW) to avoid or mitigate soil salinization. As a further research area we analyze how water pumps, sensors, water treatment or other electrical devices of the water system can use the electricity produced by the PV layer. This is a particular advantage in isolated rural areas, that will be able to produce self-consumption electricity, integrated in the irrigation system.

Objective 5

To analyse the potential of agrophotovoltaic applications (APV) with respect to a reduction of irrigation needs through shadowing, PV-based water treatment of low quality water (LQW) to avoid or mitigate soil salinization. As a further research area we analyze how water pumps, sensors, water treatment or other electrical devices of the water system can use the electricity produced by the PV layer. This is a particular advantage in isolated rural areas, that will be able to produce self-consumption electricity, integrated in the irrigation system.
The social and economic studies will engage end-users and other key social, economic and policy stakeholders, participating actively in the research and in training and educational activities of this proposal (WP7), ensuring that research responds to society’s needs.

CONCEPT


    The WATERMED layered architecture considers several types of services to ensure its replication and adaptability to different crops and locations, dealing with IoT services, virtual entities and storage services, and data analytics and machine learning, respectively. The fundamental idea is to enable optimizations of irrigation, water distribution, and consumption based on a holistic analysis that collects information from all aspects of the system including even the natural water cycle and the cumulated knowledge related to growing particular plants.It results in savings to all parties as it guarantees the availability of water in situations where water supply is limited and also prevents over- and under-irrigation.
We identify three broad phases in a water management system for agriculture:

  •     W1. Water reserve

    Water reserves coming from different sources such as rivers, lakes, dams, and aquifers, which follow the natural water cycle.

  •     W2. Water distribution

    Water is transported from W1 to the final usage place (W3) through a network of canals, pipes, pumps, valves, and gates. Water distribution may assume different configurations depending on the region or country. In some places, water resources are carefully used and controlled by a central authority.

  •     W3. Water consumption

    In agriculture, one of the critical uses of water is irrigation, which can be performed by different techniques.

The WATERMED Architecture is divided into five layers:

  •     Layer 1. IoT Services

    A variety of sensor and actuator technologies to acquire data. Two general types of sensors collect data for the WATERMED system: a) stationary sensors (soil sensors, weather, etc.) and; b) satellite images using the support of COPERNICO service in Europe.

  •     Layer 2. Virtual Entity and Data Storage

    IoT Service descriptions are annotated with contextual metadata to create Virtual Entity (VE) representations of physical entities.

  •     Layer 3. Data Analytics

    Provides different components for context-aware management supported by cloud-based big data analytics techniques.

  •     Layer 4. Water and nutrients data Management

    Builds application related middleware management services on top of the generic data processing services provided by Layer 3.

  •     Layer 5. Application Services

    Water and nutrients Application Services: A multitude of data that is sensed, acquired, stored, and processed is transformed into services that make sense to farmers.

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IMPACT


The overall approach of this project is increasing the efficiency in the management of conventional and non-conventional water resources applied to agriculture from an integral perspective. The new perspective comes from the assumption that technology development, societal engagement, governance and transferring knowledge will be enhanced by the new possibilities of digitalisation and cyber-computing through an open platform, in a form that best fits the needs of end-users and the associated supply chain, from high waters (water management authorities, water planning organisations, wastewater treatment plants, technology SME’s) to the plot (irrigation communities, farmers and technology SME’s).
The expected impacts will be easily monitored all along the water cycle for agriculture, real-time controlled by the Internet of Things and Services, helping to increase quantity and quality of water available for agriculture and to save water and nutrients.

The project will contribute to the call expected impact in the following way:

Increasing the quantity, quality and safety of non-conventional water use for agriculture and food processing (direct use and indirect use of reclaimed water)

Increasing the efficiency of water management systems with particular regard to energy and water smart infrastructures.

TIMELINE


26-27 June 2019

WATERMED 4.0 KICK-OFF MEETING (Murcia, Spain)
All partners meet in Murcia to officially launch the project, share a common project vision and define next action points.

19-20 November 2019

WATERMED 4.0 MEETING (Khemis Miliana, Algeria)
Organisation Lead : UDBKM, UMU, UDBKM

PARTNERS


Coordinator [Spain]
Antonio Skarmeta Gómez


Partner 2 [Spain]
Vicente Martínez López

Partner 3 [Algeria]
Abou El Hassan Benyamina


Partner 5 [Germany]
Maximilian Trommsdorff

Partner 6 [Morocco]
Santiago Folgueral Moreno

Partner 7 [Turkey]
AslihanKerç

RESULTS & PILOTS


RESULTS



PILOTS


PILOT 1.- Júcar-Vinalopó (Spain)

  •     Location

    Area of Júcar – Vinalopó district (Alicante province)

  •     Crops

    Table grapes, almond, tomato

  •     Experimental design

    Crop in open field: table grapes, cherries and almonds

PILOT 2.- Cheliff plain (Algeria)

  •     Location

    UNDBKM Pilot Farm; individual farmers at Ain DeflaKhemisMiliana

  •     Crops

    Potato, strawberry, tomato, apple

  •     Experimental design

    In all experiment a factorial randomized block design will be used. One factor will be the water source (good water, and saline water) combined with two fertigation management (local management and DSS management)

PILOT 3.- Konya-Çumra-Karapınar Sub-Basin (Turkey)

  •     Location

    Karapınar

  •     Crops

    Sugar beet, cherry tree

  •     Experimental design

    In all experiment a factorial randomized block design will be used. One factor will be the water source (good water, and treated waste water) combined with two fertigation management (local management and DSS management)

NEWS



Last Friday 31st January 2020, the University of Murcia team presented the WATERMED 4.0 project at the 7th Conference on Marine and Coastal Environment in the Valencian Community and Region of Murcia, Strengthening Alliances in the Mediterranean, held in Alicante

The aim of the presentation was to show the general objectives, activities that are being carried out and expected results of the project and, in turn, to highlight how the solutions proposed in WATERMED 4.0 are fully replicable and useful to improve efficiency in the management of natural resources and marine protected areas. More than 100 people from the scientific field, the third sector and the public administration attended the conference and showed great interest in the technological tools proposed by WATERMED4.0.

Contact


Antonio Skarmeta Gómez


Administrativo