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基于物联网的智能灌溉系统：精准农业中传感器和物联网系统在灌溉方面的最新趋势综述。

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

机构信息

Instituto de Investigación para la Gestión Integrada de zonas Costeras, Universitat Politècnica de València, 46730 Grau de Gandia, Spain.

Network and Telecommunication Research Group, University of Haute Alsace, 34 rue du Grillenbreit, 68008 Colmar, France.

出版信息

Sensors (Basel). 2020 Feb 14;20(4):1042. doi: 10.3390/s20041042.

DOI:10.3390/s20041042
PMID:32075172
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7070544/
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.

摘要

水资源管理在水资源短缺的国家至关重要。这也会影响到农业，因为大量的水都用于农业。全球变暖可能会导致人们考虑采取一些适应水情的措施，以确保生产和消费所需的水资源。因此，近年来旨在减少灌溉过程中用水量的研究不断增加。用于农业灌溉系统的典型商业传感器非常昂贵，这使得小型农户无法实施此类系统。然而，制造商目前正在提供低成本传感器，可以将这些传感器连接到节点上，从而为灌溉管理和农业监测实施负担得起的系统。由于物联网和 WSN 技术的最新进展可应用于这些系统的开发，因此我们进行了一项调查，旨在总结智能灌溉系统的最新技术。我们确定了灌溉系统中有关水量和水质、土壤特性和天气条件的监测参数。我们概述了最常用的节点和无线技术。最后，我们将讨论基于传感器的灌溉系统实施的挑战和最佳实践。

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