Smart Agricultural Knowledge Discovery System using IoT Technology and Fog Computing

Sakthi, U.; Rose, J. Dafni

doi:10.1109/icssit48917.2020.9214102

Cited by 7 publications

(15 citation statements)

References 11 publications

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“…[ 56 ] proposed a model for efficient soil moisture monitoring. Other applications such as [ 53 , 57 , 58 , 71 , 79 , 80 , 81 ] are pointed out as multi domain applications. Weather Management: The authors of [ 82 ] proposed a remote farm monitoring system to monitor temperature, humidity, and soil moisture.…”

Section: Discussionmentioning

confidence: 99%

“…Ref. [ 80 ] proposed a multi-domain system that also covers environmental monitoring parameters like temperature, air humidity, and rainfall. The authors in [ 84 ] developed an Agricultural Environment Management System (AEMS) to monitor temperature and humidity.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, Refs. [ 58 , 59 , 70 , 80 , 81 ] identified multi-domain categories where Ref. [ 58 ] developed a system to monitor and predict the data of soil moisture, humidity, light, and temperature.…”

Section: Discussionmentioning

confidence: 99%

“…[ 56 ] proposed a model for efficient soil moisture monitoring. Other applications such as [ 53 , 57 , 58 , 71 , 79 , 80 , 81 ] are pointed out as multi domain applications.…”

Section: Discussionmentioning

confidence: 99%

“…The applications and systems about smart agriculture and modern computing paradigms were observed from our survey. The notable applications are Decision Support System (DSS) for potato late blight disease prevention [ 69 ], Cloud of Things (CoT)-based automated irrigation system [ 75 ], Cloud-based digital farm management system for vegetable production process management and quality traceability [ 96 ], Fog assisted application for animal behaviour analysis and health monitoring in dairy farming [ 62 , 63 ], a smart agricultural knowledge support system to provide real-time information [ 80 ], smart farm computing systems for animal welfare monitoring [ 64 ], and a greenhouse system [ 61 ].…”

Section: Discussionmentioning

confidence: 99%

See 4 more Smart Citations

A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Kalyani

Collier

2021

Sensors

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Cloud Computing is a well-established paradigm for building service-centric systems. However, ultra-low latency, high bandwidth, security, and real-time analytics are limitations in Cloud Computing when analysing and providing results for a large amount of data. Fog and Edge Computing offer solutions to the limitations of Cloud Computing. The number of agricultural domain applications that use the combination of Cloud, Fog, and Edge is increasing in the last few decades. This article aims to provide a systematic literature review of current works that have been done in Cloud, Fog, and Edge Computing applications in the smart agriculture domain between 2015 and up-to-date. The key objective of this review is to identify all relevant research on new computing paradigms with smart agriculture and propose a new architecture model with the combinations of Cloud–Fog–Edge. Furthermore, it also analyses and examines the agricultural application domains, research approaches, and the application of used combinations. Moreover, this survey discusses the components used in the architecture models and briefly explores the communication protocols used to interact from one layer to another. Finally, the challenges of smart agriculture and future research directions are briefly pointed out in this article.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…[ 56 ] proposed a model for efficient soil moisture monitoring. Other applications such as [ 53 , 57 , 58 , 71 , 79 , 80 , 81 ] are pointed out as multi domain applications.…”

Section: Discussionmentioning

confidence: 99%