The Precision Agriculture Based on Wireless Sensor Network with MQTT Protocol

Syafarinda, Y.; Akhadin, F.; Fitri, Zilvanhisna Emka; Yogiswara,; Widiawan, Beni; Rosdiana, Eva

doi:10.1088/1755-1315/207/1/012059

Cited by 25 publications

(14 citation statements)

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“…As presented in Table 3 , different types of sensors were used in IoT solutions for smart agriculture to collect data from multiple aspects of agriculture, such as the crop, substrate, environment and other. For this purpose, as shown in Table 3 , for environment monitoring electronic sensors were used in IoT solutions to collect environmental data, such as temperature, humidity and luminosity [ 104 , 109 , 114 ]. In addition, for substrate monitoring electronic sensors were used to collect data from the substrate (e.g., soil and water), such as temperature, moisture and nitrogen.…”

Section: Discussionmentioning

confidence: 99%

“…IoT devices transmit information to cloud-based platforms or applications through application protocols [ 109 ]. Such protocols can follow the publisher/subscriber architecture which, as mentioned in Section 2 , are appropriate for devices with limited computing resources.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, although HTTP is not a specific protocol for machine-to-machine (M2M) communication, its use associated with REST APIs enables low coupling between IoT devices and applications, analogous to MQTT, for example. However, as [ 109 ] concludes, the MQTT protocol is preferable for smart farming applications due to its resiliency, interoperability across different network protocols and transmission rate.…”

Section: Discussionmentioning

confidence: 99%

“…Such protocols can follow the publisher/subscriber architecture which, as mentioned in Section 2, are appropriate for devices with limited computing resources. Among the application IoT devices transmit information to cloud-based platforms or applications through application protocols [109]. Such protocols can follow the publisher/subscriber architecture which, as mentioned in Section 2, are appropriate for devices with limited computing resources.…”

Section: Short Rangementioning

confidence: 99%

See 3 more Smart Citations

A Systematic Review of IoT Solutions for Smart Farming

Navarro

Costa

Pereira

2020

Sensors

191

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The world population growth is increasing the demand for food production. Furthermore, the reduction of the workforce in rural areas and the increase in production costs are challenges for food production nowadays. Smart farming is a farm management concept that may use Internet of Things (IoT) to overcome the current challenges of food production. This work uses the preferred reporting items for systematic reviews (PRISMA) methodology to systematically review the existing literature on smart farming with IoT. The review aims to identify the main devices, platforms, network protocols, processing data technologies and the applicability of smart farming with IoT to agriculture. The review shows an evolution in the way data is processed in recent years. Traditional approaches mostly used data in a reactive manner. In more recent approaches, however, new technological developments allowed the use of data to prevent crop problems and to improve the accuracy of crop diagnosis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Short Rangementioning

confidence: 99%

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A Systematic Review of IoT Solutions for Smart Farming

Navarro

Costa

Pereira

2020

Sensors

191

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“…The improvements in the physical attributes of greenhousebased plants following the installation of the automated water control systems of medium moisture control and irrigation timing intelligent systems are but a microcosm of the numerous benefits linked to IoT devices and sensors in greenhouse (Sagheer et al, 2020). However, IoT devices have critical limitations in remote monitoring and control and must be paired with cloud computing devices and MQTT or HTTP protocols to overcome the technical constraints (Syafarinda et al, 2018). A comparison of HTTP and MQTT protocols confirmed the utility of the latter.…”

Section: Application Of Iot Systems For Optimised Performance Of System Greenhouse-pv-energymentioning

confidence: 99%

Smart and Solar Greenhouse Covers: Recent Developments and Future Perspectives

et al. 2021

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The examination of recent developments and future perspectives on smart and solar greenhouse covers is significant for commercial agriculture given that traditional greenhouse relied on external energy sources and fossil fuels to facilitate lighting, heating and forced cooling. The aim of this review article was to examine smart and solar materials covering greenhouse. However, the scope was limited to intelligent PhotoVoltaic (PV) systems, optimization of some material properties including smart covers, heat loading and the use of Internet of Things (IoT) to reduce the cost of operating greenhouse. As such, the following thematic areas were expounded in the research; intelligent PV systems, optimization of the Power Conversion Efficiency (PCE), Panel Generator Factor (PGF) and other material properties, heat loading future outlook and perspectives. The intelligent PV section focused on next-generation IoT and Artificial Neural Networks (ANN) systems for greenhouse automation while the optimization of material parameters emphasized quantum dots, semi-transparent organic solar cells, Pb-based and Pb-based PVs and three dimensional (3D) printing. The evaluation translated to better understanding of the future outlook of the energy-independent greenhouse. Greenhouse fitted with transparent PV roofs are a sustainable alternative given that the energy generated was 100% renewable and economical. Conservative estimates further indicated that the replacement of conventional sources of energy with solar would translate to 40–60% energy cost savings. The economic savings were demonstrated by the Levelized cost of energy. A key constraint regarded the limited commercialization of emerging innovations, including transparent and semitransparent PV modules made of Pb-quantum dots, and amorphous tungsten oxide (WO3) films, with desirable electrochromic properties such as reversible color changes. In addition to intelligent energy harvesting, smart IoT-based materials embedded with thermal, humidity, and water sensors improved thermal regulation, frost mitigation and prevention, and the management of pests and disease. In turn, this translated to lower post-harvest losses and better yields and revenues.

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Evaluation of Scheduling Algorithms

Cruz

2024

Sustainable Energy Efficient Communities

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The Precision Agriculture Based on Wireless Sensor Network with MQTT Protocol

Cited by 25 publications

References 0 publications

A Systematic Review of IoT Solutions for Smart Farming

A Systematic Review of IoT Solutions for Smart Farming

Smart and Solar Greenhouse Covers: Recent Developments and Future Perspectives

Evaluation of Scheduling Algorithms

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