A Design of a Remote Greenhouse Monitoring and Controlling System Based on Internet of Things

Taha, Fares M. A.; Osman, Abdalla A.; Awadalkareem, Sally D.; Omer, Mysoon S.A.; Saadaldeen, Razan S. M.

doi:10.1109/iccceee.2018.8515866

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…More recent developments with IoT involve network protocols to communicate through the internet with remote devices via applications designed for data reduction. For monitoring purposes, for example [191,193,194], researchers used the MQTT protocol for data collection from sensor nodes at greenhouses. These protocols allowed the gathering and analysis by Shukla et al of data at intermediate cloud middleware [195].…”

Section: Edge Computing In Precision Farmingmentioning

confidence: 99%

Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A Review

et al. 2021

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With the implementation of the Internet of Things, the agricultural domain has become data-driven, allowing for well-timed and cost-effective farm management while remaining environmentally sustainable. Thus, the incorporation of Internet of Things in the agricultural domain is the need of the hour for developing countries whose gross domestic product primarily depends on the farming sector. It is worth highlighting that developing nations lack the infrastructure for precision agriculture; therefore, it has become necessary to come up with a methodological paradigm which can accommodate a complete model to connect ground sensors to the compute nodes in a cost-effective way by keeping the data processing limitations and constraints in consideration. In this regard, this review puts forward an overview of the state-of-the-art technologies deployed in precision agriculture for soil assessment and pollutant monitoring with respect to heavy metal in agricultural soil using various sensors. Secondly, this manuscript illustrates the processing of data generated from the sensors. In this regard, an optimized method of data processing derived from cloud computing has been shown, which is called edge computing. In addition to this, a new model of high-performance-based edge computing is also shown for efficient offloading of data with smooth workflow optimization. In a nutshell, this manuscript aims to open a new corridor for the farming sector in developing nations by tackling challenges and providing substantial consideration.

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Section: Edge Computing In Precision Farmingmentioning

confidence: 99%

Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A Review

et al. 2021

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“…Node-RED is a browser-based tool for building Internet of Things (IoT) applications whose visual programming environment makes it easy for users to create applications as a flow [9]. Object-oriented programming languages currently rule the programming world, but there are alternatives for software development or production and also for prototyping ideas quickly.…”

Section: Node-redmentioning

confidence: 99%

Monitoring Pesticide Watering On Plants Shallot Using Mosquitto Network (MQTT) Client-Server Network

Melindra,

Hendrick,

Alfitri

et al. 2023

JECCOM

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Shallots are one of the leading commodities in several regions in Indonesia. In the cultivation of shallot plants there are pests that can reduce the quality of shallots. Along with the times, and to overcome the problem of watering pesticides for shallot plants, an automation tool is designed to make it easier for farmers to water pesticides. The design of this tool uses the concept of Internet of Thing (IoT) where the application used is Node-RED with the MQTT protocol. The optimum humidity for the growth and development of shallot plants is 50-70%, so soil moisture sensors are used to measure soil moisture. Pesticide watering also looks at weather conditions such as rain. Therefore, the raindrop sensor is used to detect rain. From several trials that have been carried out, it produces one experimental result that shows soil moisture of 35% where weather conditions are not raining and, the relay is active to perform pesticide watering. This indicates that the pesticide watering of shallot plants using the MQTT client-server network is successful carried out.

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“…In IoT-enabled greenhouse farming, there are some devices that can't use HTTP protocol directly, the CoAP protocol act as a bridge to connect such devices [28]. Further, the MQTT protocol is used to transmit information towards IoT about different greenhouse parameters such as humidity, temperature, and length intensity to take preventive measures [29]. However, AMQP and HTTP protocols are used for interfacing with the cloud and transmitting the data over the web such as environmental data [30][31] b: Transport Layer…”

Section: A: Application Layermentioning

confidence: 99%

IoT Based Smart Greenhouse Framework and Control Strategies for Sustainable Agriculture

et al. 2022

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In recent years, the Internet of Things (IoT) has become one of the most familiar names creating a benchmark and scaling new heights. IoT an indeed future of the communication that has transformed the objects (things) of the real world into smarter devices. With the advent of IoT technology, this decade is witnessing a transformation from traditional agriculture approaches to the most advanced ones. In perspective to the current standing of IoT in agriculture, identification of the most prominent application of IoT-based smart farming i.e. greenhouse has been highlighted and presented a comprehensive systematic literature review (SLR) in the Greenhouse field. The SLR has been conducted by reviewing the articles published between 2015-2022. This SLR analyses 32 relevant studies, which were selected manually from well-reputed digital databases. The primary objective of this SLR is to conduct state-of-the-art research to analyze and identify the current research trends, opportunities, challenges, and gaps in IoT-based greenhouse farming. A rigorous discussion on IoT-based greenhouse applications, sensors/devices, and communication protocols have been presented. Furthermore, this research also presents an inclusive review of IoT-based greenhouse sensors/devices and communication protocols. Moreover, we have also presented a rigorous discussion on smart greenhouse farming challenges and security issues as well as identified future research directions to overcome these challenges. This research has explained many aspects of the technologies involved in IoT-based greenhouse and proposed network architecture, topology, and platforms. In the end, review results have been summarized by presenting an IoT-based greenhouse farm management taxonomy and attacks taxonomy.INDEX TERMS Internet of things (IoT), greenhouse, applications, sensors, communication protocols, cloud computing, big data analytics, security attacks

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A Design of a Remote Greenhouse Monitoring and Controlling System Based on Internet of Things

Cited by 13 publications

References 2 publications

Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A Review

Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A Review

Monitoring Pesticide Watering On Plants Shallot Using Mosquitto Network (MQTT) Client-Server Network

IoT Based Smart Greenhouse Framework and Control Strategies for Sustainable Agriculture

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