Internet of Things and Artificial Intelligence for more efficient water use

Water and electricity are essential resources to support irrigation agriculture that allows food production and, in turn, sustains the planet.. However, the limited availability of water and rising electricity costs together with the environmental impact caused by CO emissions2 threaten the success of these systems.

According to this solution,The scientific community has been researching for many years how to improve the relationship between water and energy in irrigation, with the aim of optimizing agriculture irrigation. and reduce costs and emissions, moving to a more sustainable, but also profitable system. Also, we must not forget that agriculture is a CO sink.2both in the soil and in the plants themselves.

Project HOPE

In this context, the HOPE project was born, created by the Hydraulic and Irrigation group of the University of Córdoba and Agroforestry and Cartographic Precision of the University of Castilla-La Mancha, which will work for three years on the development of a holistic precision irrigation model that allows the transition of agriculture to a more resilient and emissions-neutral model, focusing on water and the strength.

HOPE shows the progress that has already been made by research groups in previous work where solar irrigation systems, the use of sensors and Artificial Intelligence techniques or precision fertigation systems have been used. with energy conservation occurring in water communities, etc.; to move to a model that combines the use of water and energy, the use of photovoltaic electricity to make energy independent of the water in the water and the amount of emissions generated by the This model, but also has sequestered carbon. All of this on the path of moderate climate and the new agenda set by the Green Deal or the 2030 Agenda.

According to researchers Emilio Camacho Poyato and Juan Antonio Rodríguez from the María de Maeztu Excellence Unit of UCO (DAUCO), Miguel Ángel Moreno and José Fernando Ortega from Agroforestry and Cartographic Precision at UCLM; Four main objectives will be implemented.

Solar plants

First of all, The behavior of large pumps fed by mega photovoltaic power plants installed in community water will be analyzed. In this way, the goal is to predict the demand for water and its changes to the production of solar energy at any time, for the management of water quality.

By using pressure sensors based on the Internet of Things (IoT), an intelligent energy management system for water pipes will be activated.. In this line, we will work with the ‘Digital Twin’ technology which, through the digital printing of the real data obtained from the IoT sensors is used, allowing us to estimate the water use water connection how to take in high content, for example. This way, better management can be planned.

Farming 4.0

Take advantage of Agriculture 4.0 techniques A regional and advanced fertigation system will be developed to provide water and nutrients to the soil. in the appropriate amount and time, use the medicine to be in each part of the grid.

UCO researchers
Researchers Emilio Camacho Poyato and Juan Antonio Rodríguez from the María de Maeztu Excellence Unit at UCO (DAUCO).

At last, A device will be developed that can identify soil and crop carbon from 3D models of crops with laser technology, such emissions savings are made with water and energy management strategies. Composing, in this way, the integration of the use of sustainable resources, saving costs and causing a low environmental impact.

20% water saving

With the development of this model, savings will be achieved in the use of water and energy. With the experience, up to 70% in energy saving and 20% in water saving can be achieved, cas well as reducing the water footprint and costs for farmers.

In addition, the use of new technologies in the industry can support the creation of technology companies, as well as solar power companies due to the use of photovoltaic power.

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