Literature DB >> 32075172

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

Laura García1,2, Lorena Parra1, Jose M Jimenez1,2, Jaime Lloret1, Pascal Lorenz2.   

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.

Entities:  

Keywords:  IoT; irrigation; precision agriculture; sensors

Year:  2020        PMID: 32075172     DOI: 10.3390/s20041042

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  7 in total

1.  Distributed Key Management to Secure IoT Wireless Sensor Networks in Smart-Agro.

Authors:  Safwan Mawlood Hussein; Juan Antonio López Ramos; José Antonio Álvarez Bermejo
Journal:  Sensors (Basel)       Date:  2020-04-15       Impact factor: 3.576

2.  A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems.

Authors:  Sara Blanc; José-Luis Bayo-Montón; Senén Palanca-Barrio; Néstor X Arreaga-Alvarado
Journal:  Sensors (Basel)       Date:  2021-01-19       Impact factor: 3.576

3.  Design, Implementation, and Empirical Validation of an IoT Smart Irrigation System for Fog Computing Applications Based on LoRa and LoRaWAN Sensor Nodes.

Authors:  Iván Froiz-Míguez; Peio Lopez-Iturri; Paula Fraga-Lamas; Mikel Celaya-Echarri; Óscar Blanco-Novoa; Leyre Azpilicueta; Francisco Falcone; Tiago M Fernández-Caramés
Journal:  Sensors (Basel)       Date:  2020-11-30       Impact factor: 3.576

4.  Feasibility of a Planar Coil-Based Inductive-Capacitive Water Level Sensor with a Quality-Detection Feature: An Experimental Study.

Authors:  Lakshmi Areekath; Gaurav Lodha; Subham Kumar Sahana; Boby George; Ligy Philip; Subhas Chandra Mukhopadhyay
Journal:  Sensors (Basel)       Date:  2022-07-23       Impact factor: 3.847

5.  Smart Strawberry Farming Using Edge Computing and IoT.

Authors:  Mateus Cruz; Samuel Mafra; Eduardo Teixeira; Felipe Figueiredo
Journal:  Sensors (Basel)       Date:  2022-08-05       Impact factor: 3.847

6.  Cloud Data-Driven Intelligent Monitoring System for Interactive Smart Farming.

Authors:  Kristina Dineva; Tatiana Atanasova
Journal:  Sensors (Basel)       Date:  2022-08-31       Impact factor: 3.847

7.  Flow velocity sensors arrangement for vegetated channels.

Authors:  Yi Zhou; Weiwei Yao; Xiangli He; Tongshu Li; Shiyu Wang; Yu Han
Journal:  Front Plant Sci       Date:  2022-08-11       Impact factor: 6.627

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.