A Comprehensive Review of Using WSNs and Drones for Improving Crop Production in Precision Agriculture

IF 2.4 Q3 TELECOMMUNICATIONS
Nada M. Khalil Al-Ani, Sadik Kamel Gharghan, Ziad Qais Al-Abbasi, Hasan Kahtan
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引用次数: 0

Abstract

Precision agriculture (PA) plays an essential role in resource use and crop yields while minimising environmental impact through data-driven farming techniques. The combination of unmanned aerial vehicles (UAVs), the Internet of Things (IoT) and wireless sensor networks (WSNs) has significantly transformed the current state of farming, enabling decisions based on data, predicting outcomes and precise control. This review presents the current developments, challenges and complementary advantages of these technologies to improve agricultural efficiency and sustainability in a comprehensive manner. The search timeframe of this search is 2019–2025. The analysis of the WSN-based systems begins with the analysis of sensing technologies, communication protocols (LoRa, Sigfox, Wi-Fi, Bluetooth, ZigBee, NB-IoT and RFID), sensor architecture, energy consumption and path-loss models, which affect the data transmission in an agricultural setting. It highlights the weaknesses of WSN deployment, such as power consumption and coverage. Second, the use of UAVs in crop monitoring, irrigation, pest detection and resource optimisation is reviewed with references to the incorporation of sensing and data analytics algorithms and the challenges associated with UAV use, such as the short flight duration and energy consumption. Third, IoT-based frameworks are researched in the context of their roles in the PA of real-time monitoring, automated controls and smart decision-making. The findings suggest that a network of WSNs, UAVs and the IoT can be used to enhance monitoring quality, data quality and resource utilisation by multiple orders of magnitude. However, such barriers as energy consumption, connectivity differences, complexity of data and costs will be topical. Overall, the WSN-UAV-IoT combo is a potentially fruitful direction that could assist PA to take a step forward in terms of productivity, sustainability and environmental friendliness.

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无线传感器网络与无人机在精准农业作物生产中的应用综述
精准农业(PA)在资源利用和作物产量方面发挥着至关重要的作用,同时通过数据驱动的农业技术将环境影响降至最低。无人机(uav)、物联网(IoT)和无线传感器网络(wsn)的结合极大地改变了农业的现状,使基于数据的决策、预测结果和精确控制成为可能。本文综述了这些技术的发展现状、挑战和互补优势,以全面提高农业效率和可持续性。本次搜索的搜索时间框架为2019-2025年。对基于无线网络的系统的分析始于对传感技术、通信协议(LoRa、Sigfox、Wi-Fi、蓝牙、ZigBee、NB-IoT和RFID)、传感器架构、能耗和路径损耗模型的分析,这些都会影响农业环境中的数据传输。它突出了WSN部署的弱点,如功耗和覆盖范围。其次,回顾了无人机在作物监测、灌溉、害虫检测和资源优化方面的应用,并参考了传感器和数据分析算法的结合以及与无人机使用相关的挑战,例如飞行时间短和能耗低。第三,研究了基于物联网的框架在实时监控、自动化控制和智能决策中的作用。研究结果表明,由无线传感器网络、无人机和物联网组成的网络可用于提高监测质量、数据质量和资源利用率。然而,诸如能源消耗、连接差异、数据复杂性和成本等障碍将成为热门话题。总体而言,WSN-UAV-IoT组合是一个潜在的富有成效的方向,可以帮助PA在生产力,可持续性和环境友好性方面向前迈进一步。
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来源期刊
IET Wireless Sensor Systems
IET Wireless Sensor Systems TELECOMMUNICATIONS-
CiteScore
4.90
自引率
5.30%
发文量
13
审稿时长
33 weeks
期刊介绍: IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.
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