Management of Big Data in the Internet of Things in Agriculture Based on Cloud Computing

Wang, Hui Zhe; Lin, Guo Wen; Wang, Jian Qin; Gao, Wan Lin; Chen, Yi Fei; Duan, Qing

doi:10.4028/www.scientific.net/amm.548-549.1438

Cited by 24 publications

(6 citation statements)

References 8 publications

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“…Meanwhile, in order to adapt to the limited resources of sensor devices, the gateway supports the Coap transmission protocol. For data transmission to the cloud, the cloud supports TCP/IP-based http, MQTT, and websocket application layer transport protocol [9].…”

Section: ) Multi-protocol Data Transmissionmentioning

confidence: 99%

Internet of Things Monitoring System of Modern Eco-Agriculture Based on Cloud Computing

et al. 2019

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In order to enhance the efficiency and safety of production and management of modern agriculture in China, problems, such as the quality and safety of agricultural products and the pollution of the environment from agricultural activities, should be unraveled. Based on the new generation of information technology (IT), an integrated framework system platform incorporating the Internet of Things (IoT), cloud computing, data mining, and other technologies is investigated and a new proposal for its application in the field of modern agriculture is offered. The experimental framework and simulation design suggest that the basic functions of the monitoring system of the IoT for agriculture can be realized. In addition, the innovation derived from integrating different technologies plays an important role in reducing the cost of system development and ensuring its reliability as well as security. INDEX TERMS Management system, modern agriculture, big data, cloud computing, Internet of Things (IoT).

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Section: ) Multi-protocol Data Transmissionmentioning

confidence: 99%

Internet of Things Monitoring System of Modern Eco-Agriculture Based on Cloud Computing

et al. 2019

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“…However, sometime the water quality is changing with the clay and grit, which is not captured through the irrigation filter model, which may cause the several drawbacks in the summer time production and can suffer deficiency in warm-days. In paper [4], they proposed the architectural view by using IoT depends upon the heterogeneous data sensor. They have designed the agriculture based cloud computing for implementing IoT and the modelling is depend on the structure of two-tier storage of HBase that is nothing but a distributed database under high scalability model.…”

Section: Literature Surveymentioning

confidence: 99%

Cloud Computing Model for Agricultural Applications

Vimala¹,

Ranjan²

2019

IJRTE

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There are major advancements in the technological fields, which include the smart farming with the IoT, Big-data, Cloud-service oriented architectures along with the internet etc. While considering the current situation in the field of agriculture, there are many issues being faced. Some of the major problems are climatic-changes, lack of the fresh-water availability, much barren lands and decrease in the farming lands, less power availability, etc. The agricultural architecture that are cloud-based or the cloud-service oriented architecture includes the monitoring of farming and the warehousing-information. In this paper, we provide a work on IoT, aerial images and SOA and how they can be applied on the large and the smart farming systems, which is scalable and that can be easily configured. An event-driven SOA is necessary to facilitate the flawless and significant information and integration of distributed and heterogeneous internet agricultural services to help real-time user preferences.

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“…Despite the challenges, IoT based applications have emerged in many domains over the years, such as healthcare [27], agriculture management [26,28,29], social relations study [30], context aware computing [24,31], smart city [32,33], and smart house [34].…”

Section: Related Workmentioning

confidence: 99%

A Stream Processing System for Multisource Heterogeneous Sensor Data

Sun

Wang

et al. 2016

Journal of Sensors

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With the rapid development of the Internet of Things (IoT), a variety of sensor data are generated around everyone’s life. New research perspective regarding the streaming sensor data processing of the IoT has been raised as a hot research topic that is precisely the theme of this paper. Our study serves to provide guidance regarding the practical aspects of the IoT. Such guidance is rarely mentioned in the current research in which the focus has been more on theory and less on issues describing how to set up a practical system. In our study, we employ numerous open source projects to establish a distributed real time system to process streaming data of the IoT. Two urgent issues have been solved in our study that are (1) multisource heterogeneous sensor data integration and (2) processing streaming sensor data in real time manner with low latency. Furthermore, we set up a real time system to process streaming heterogeneous sensor data from multiple sources with low latency. Our tests are performed using field test data derived from environmental monitoring sensor data collected from indoor environment for system validation. The results show that our proposed system is valid and efficient for multisource heterogeneous sensor data integration and streaming data processing in real time manner.

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Management of Big Data in the Internet of Things in Agriculture Based on Cloud Computing

Cited by 24 publications

References 8 publications

Internet of Things Monitoring System of Modern Eco-Agriculture Based on Cloud Computing

Internet of Things Monitoring System of Modern Eco-Agriculture Based on Cloud Computing

Cloud Computing Model for Agricultural Applications

A Stream Processing System for Multisource Heterogeneous Sensor Data

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