Cloud-Based Architecture for Farm Management

Mocanu, Mariana; Cristea, Valentin; Negru, Cătălin; Pop, Florin; Ciobanu, Vlad; Dobre, Ciprian

doi:10.1109/cscs.2015.55

Cited by 15 publications

(3 citation statements)

References 10 publications

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“…Zigbee protocol is used for communication between sensor nodes and actuators [57]. LoRa protocol is used in between Fog layer1 and Fog layer2 to send data after outlier recognition [58][59][60][61][62][63][64][65][66]. And finally for resource management in between fog layer2 and cloud platform we used the MQTT protocol.…”

Section: Cloud Platformmentioning

confidence: 99%

A User-Centered Security Approach to Create an IoT based Multi-Layered Fog-Cloud Architecture for Data Optimization in Raised Bed Farming

Raghu¹,

Jayaramaan²,

Jayaraman³

et al. 2022

IJSSE

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Cloud Computing and Internet of Things (IoT) are popularly intertwined to create a network of smart systems, especially in the field of Agriculture. As agricultural industries rise, augmented use of heterogeneous communication and sensing on the field would be needed. For all this data to be transferred and processed on the cloud efficiently, low latency rates, consistently high bandwidths, minimal congestion, etc. would be needed, which, is still a complication with the current cloud computing models. This paper proposes a multi-layered fog architecture that detects outliers in the data received from the sensing environment based on three categories: Classification, Isolation, and Clustering and then aggregates it before sending it to the cloud. The architecture works closely in a user-centered design approach that connects the farmers and analysts to the fog allowing them to create an automated agricultural system. With the help of Fog, processing abilities are brought closer to the data source which reduces the load on cloud resources, thereby making the overall system a lot more efficient and secured. This paper also presents a prototype of the interface that can be used to monitor and control IoT devices on the field as well as define fuzzy rules for the agricultural system.

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Section: Cloud Platformmentioning

confidence: 99%

A User-Centered Security Approach to Create an IoT based Multi-Layered Fog-Cloud Architecture for Data Optimization in Raised Bed Farming

Raghu¹,

Jayaramaan²,

Jayaraman³

et al. 2022

IJSSE

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“…Both current and historical data are used for this purpose [11,48]. If required, external data can also be included [42,51]. This includes, for example, data on the current economic situation, weather, the course of diseases or plagues, animals or plants, or from other companies along the value chain.…”

Section: Information System Architecture For Smart Farmingmentioning

confidence: 99%

“…The goal is to make the processed data directly available to the end user as precise, reliable, and optimal decision-supporting information in real time or as correction plans for problems arising on a farm [10,45]. This provides the farmer with new opportunities, such as monitoring the current status of the entire farm from any location and, if necessary, initiating corrective measures with the help of intelligent suggestions [11,21,49,51]. Furthermore, administrative functions, such as user administration or system condition monitoring, can be carried out to provide more functional value to the system operator [49].…”

Section: Information System Architecture For Smart Farmingmentioning

confidence: 99%

Farming in the Era of Internet of Things: An Information System Architecture for Smart Farming

Strobel¹

2020

WI2020 Community Tracks

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The Internet of Things and associated smart products are finding application in evermore domains. Within agriculture it is described under the term smart farming. Using smart products allows farmers to automatically record relevant information, monitor operating procedures or remotely control machines. To make these capabilities usable for added value, not only smart products but entire information systems that align to the domain and its requirements are necessary. Within the literature, various architectures can be found already. However, many lack a methodical foundation or an abstraction of application cases and technology. Against this background, the article presents an information system architecture independent of application cases or technology and oriented toward the domain of smart farming. Starting point of the development is a systematic literature review, based on Webster and Watson [1] in combination with Vom Brocke [2, 3], based on 18 existing architecture approaches that are analyzed and aggregated.

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