Abstract:
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[EN] The role of agriculture in society is vital due to factors such as providing food for the population, is a major source of employment worldwide, and one of the most important sources of revenue for countries. Furthermore, ...[+]
[EN] The role of agriculture in society is vital due to factors such as providing food for the population, is a major source of employment worldwide, and one of the most important sources of revenue for countries. Furthermore, in recent years, the interest in optimizing the use of water resources has increased due to aspects such as climate change. This has led to the introduction of technology in the fields by means of sensor networks that allow remote monitoring and control of cultivated lands. In this paper, we present a system for flood irrigation in agriculture comprised of a sensor network based on WiFi communication. Different sensors measure atmospheric parameters such as temperature, humidity, and rain, soil parameters such as humidity, and water parameters such as water temperature, salinity, and water height to decide on the need of activating the floodgates for irrigation. The user application displays the data gathered by the sensors, shows a graphical representation of the state of irrigation of each ditch, and allows farmers to manage the irrigation of their fields. Finally, different tests were performed on a plot of vegetables to evaluate the correct performance of the system and the coverage of the sensor network on a vegetated area with different deployment options.
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Thanks:
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This work was partially supported by the European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR, by the Programa Estatal de I+D+i ...[+]
This work was partially supported by the European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR, by the Programa Estatal de I+D+i Orientada a los Retos de la Sociedad, en el marco del Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion 2017-2020 (Project code: PID2020-114467RR-C33), and by proyectos de innovacion de interes general por grupos operativos de la Asociacion Europea para la Innovacion en materia de productividad y sostenibilidad agricolas (AEI-Agri) in the framework Programa Nacional de Desarrollo Rural 2014-2020, GO TECNOGAR. This work was also partially funded by the Universitat Politecnica de Valencia through the post-doctoral PAID-10-20 program.
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