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      IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture

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          Abstract

          Water management is paramount in countries with water scarcity. This also affects agriculture, as a large amount of water is dedicated to that use. The possible consequences of global warming lead to the consideration of creating water adaptation measures to ensure the availability of water for food production and consumption. Thus, studies aimed at saving water usage in the irrigation process have increased over the years. Typical commercial sensors for agriculture irrigation systems are very expensive, making it impossible for smaller farmers to implement this type of system. However, manufacturers are currently offering low-cost sensors that can be connected to nodes to implement affordable systems for irrigation management and agriculture monitoring. Due to the recent advances in IoT and WSN technologies that can be applied in the development of these systems, we present a survey aimed at summarizing the current state of the art regarding smart irrigation systems. We determine the parameters that are monitored in irrigation systems regarding water quantity and quality, soil characteristics and weather conditions. We provide an overview of the most utilized nodes and wireless technologies. Lastly, we will discuss the challenges and the best practices for the implementation of sensor-based irrigation systems.

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          Internet of Things in agriculture, recent advances and future challenges

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            Crop evapotranspiration estimation with FAO56: Past and future

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              A comprehensive review on automation in agriculture using artificial intelligence

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                14 February 2020
                February 2020
                : 20
                : 4
                : 1042
                Affiliations
                [1 ]Instituto de Investigación para la Gestión Integrada de zonas Costeras, Universitat Politècnica de València, 46730 Grau de Gandia, Spain; laugarg2@ 123456teleco.upv.es (L.G.); loparbo@ 123456doctor.upv.es (L.P.); jojiher@ 123456dcom.upv.es (J.M.J.)
                [2 ]Network and Telecommunication Research Group, University of Haute Alsace, 34 rue du Grillenbreit, 68008 Colmar, France; lorenz@ 123456ieee.org
                Author notes
                [* ]Correspondence: jlloret@ 123456dcom.upv.es
                Author information
                https://orcid.org/0000-0002-3688-7235
                https://orcid.org/0000-0002-0862-0533
                https://orcid.org/0000-0003-3346-7216
                Article
                sensors-20-01042
                10.3390/s20041042
                7070544
                32075172
                7d7529c0-a537-4e1f-8061-e10d5570efeb
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 24 December 2019
                : 10 February 2020
                Categories
                Review

                Biomedical engineering
                irrigation,iot,precision agriculture,sensors
                Biomedical engineering
                irrigation, iot, precision agriculture, sensors

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