Recent trends of smart agricultural systems based on Internet of Things technology: A survey

Gzar, Dunia Abas; Mahmood, Ali Majeed; Abbas, Maythem K.

doi:10.1016/j.compeleceng.2022.108453

Cited by 21 publications

(10 citation statements)

References 17 publications

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“…It ensures convenient and stable remote data transmission through successive integration with wired data transmission. Continuous advancements in IoT-WSNs microprocessor research and development are evident, especially in integrating wireless sensing, control, communication, and data processing functions within the microprocessor [27]. Concerning real-time monitoring in agricultural production, utilize intelligence systems for precise functional and monitoring tasks in field cultivation, irrigation and fertilizer, and well-established production processes.…”

Section: A Short-range Protocols 1) Zigbeementioning

confidence: 99%

“…[565]- [572] Mitigation of Power Consumption: fixed battery life, high hardware costs, energy shortages, necessitating regular battery recharging Energy-efficient routing protocol, implementation of renewable energy in SA systems [21], [23], [27], [523],…”

Section: B Data Privacy and Confidentialitymentioning

confidence: 99%

“…Its potential lies in reducing initial barriers, addressing interoperability issues, and fostering healthy competition among various products and services. The evolution of security, communication, and identification standards within IoT demands a suitable approach to developing new technologies [21], [27]. Collaborative efforts among researchers are essential to define industry-specific guidelines and establish necessary standards for effective IoT implementation [576], [577].…”

Section: Cost Effectiveness and Standardizationmentioning

confidence: 99%

“…In the context of SA, integration, and interaction among intelligent entities are propelled by IoT, marking a transformation in a technologically advanced era [7], [25]- [27]. This integration includes IoT combined with WSNs, encompassing soil-embedded sensors for environmental monitoring.…”

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confidence: 99%

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Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey

Mowla,

Shah

et al. 2023

IEEE Access

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The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating the Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing food production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization and control, early-stage pest and crop disease management, and energy conservation. Wireless application protocols such as ZigBee, WiFi, SigFox, and LoRaWAN are commonly employed to collect real-time data for monitoring purposes. Embracing advanced technology is imperative to ensure efficient annual production. Therefore, this study emphasizes a comprehensive, futureoriented approach, delving into IoT-WSNs, wireless network protocols, and their applications in agriculture since 2019. It thoroughly discusses the overview of IoT and WSNs, encompassing their architectures and summarization of network protocols. Furthermore, the study addresses recent issues and challenges related to IoT-WSNs and proposes mitigation strategies. It provides clear recommendations for the future, emphasizing the integration of advanced technology aiming to contribute to the future development of smart agriculture systems. INDEX TERMSInternet of things, wireless sensor networks, wireless network protocols, smart agriculture applications.

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Section: A Short-range Protocols 1) Zigbeementioning

confidence: 99%

Section: B Data Privacy and Confidentialitymentioning

confidence: 99%

Section: Cost Effectiveness and Standardizationmentioning

confidence: 99%

mentioning

confidence: 99%

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Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey

Mowla,

Shah

et al. 2023

IEEE Access

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“…The development and adoption of sensors has allowed precision farming to collect unprecedented resolution of spatiotemporal information about the agricultural system [6]. Using additional smart technologies along with effective use of data can increase production efficiency [7] and in this context, digital technologies such as cloud and edge computing, Blockchain (BC), Artificial Intelligence (AI), big data and Internet of Things (IoT) are growing in public use [8]. These technologies along with remote sensing and Information and Communication Technology (ICT) could support farmers through increased performance and efficiency of farming systems, with utilization of the most effective farm management strategies.…”

Section: Introductionmentioning

confidence: 99%

A concept for application of integrated digital technologies to enhance future smart agricultural systems

Gebresenbet

Bosona

Patterson

et al. 2023

Smart Agricultural Technology

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Optimization of sprinkler irrigation scheduling scenarios for reducing irrigation energy consumption

Pang,

Tang,

et al. 2024

Irrigation and Drainage

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In recent years, traditional sprinkler irrigation scheduling scenarios have no longer been applicable to modern agriculture because of the increase in energy prices and the rapid development of smart agriculture. This paper proposes a new irrigation scheduling scenario in which a sprinkler is used as the minimum optimization unit for sectoring design. The main challenge of the proposed approach lies in obtaining the most energy‐efficient sectoring and pump operating frequencies, and the high complexity of the optimization problem requires considerable computational effort. To compare the irrigation performance before and after optimization, seven scheduling scenarios are established to analyse the performance of the unified control method, branch scheduling method and sprinkler scheduling method. Through numerical calculations and experimental verification, it was found that sprinkler scheduling can not only meet the pressure requirements of sprinklers without using pressure‐regulating valves but also minimize energy consumption. Compared with optimal branch pipe scheduling, optimal sprinkler scheduling can reduce the sprinkler pressure variance from 792 to 180 kPa2 and reduce the irrigation cost by approximately 18%. In addition, by analysing the uniformity coefficient and distribution uniformity under different scenarios, it was found that sprinkler scheduling optimization does not substantially improve irrigation uniformity.

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Recent trends of smart agricultural systems based on Internet of Things technology: A survey

Cited by 21 publications

References 17 publications

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey

A concept for application of integrated digital technologies to enhance future smart agricultural systems

Optimization of sprinkler irrigation scheduling scenarios for reducing irrigation energy consumption

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