A WiFi-Based Sensor Network for Flood Irrigation Control in Agriculture
Metadatos
Mostrar el registro completo del ítemAutor
Lloret, Jaime; Sendra Compte, Sandra; García Fernández, Julia; García, Laura; Jimenez Herranz, José MiguelEditorial
MDPI
Materia
Internet of Things (IoT) Agriculture Wireless sensor networks (WSN) Flood irrigation Monitoring Cloud server Mobile apps
Fecha
2021Referencia bibliográfica
Lloret, J.; Sendra, S.; García-Fernández, J.; García, L.; Jimenez, J.M. A WiFi-Based Sensor Network for Flood Irrigation Control in Agriculture. Electronics 2021, 10, 2454. https://doi.org/10.3390/ electronics10202454
Patrocinador
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 Investigación Científica y Técnica y de Innovación 2017–2020” (Project code: PID2020-114467RR-C33); “Proyectos de innovación de interés general por grupos operativos de la Asociación Europea para la Innovación en materia de productividad y sostenibilidad agrícolas (AEI-Agri)” in the framework “Programa Nacional de Desarrollo Rural 2014–2020”, GO TECNOGAR.; Universitat Politècnica de València through the post-doctoral PAID-10-20 programResumen
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.