2018
DOI: 10.48048/wjst.2019.3620
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A Big Data Virtualization Role in Agriculture: A Comprehensive Review

Abstract: Big data is a collection of large volumes of data sets which are more complicated to analyze using standard data processing methods. It also emphasizes parameters like data variety and velocity data. Big data will play a most significant role in our daily life regarding applications like healthcare electronic commerce, agriculture, telecommunication, government, and financial trading. In the agriculture domain, big data is an optimal method to increase the productivity of farming by gathering and processing in… Show more

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Cited by 18 publications
(5 citation statements)
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References 36 publications
(50 reference statements)
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“…These techniques use the unrealistic assumption that all the deployed sensor nodes and the sink have predetermined transmission spacing [15]. In the current research, clustering processes and routing strategies are also considered distinct difficulties and lead to problems at the hot spot due to uneven resource distributions between WSN nodes [16]. According to the authors, the clustering process and routing strategies must be addressed together and not as distinct concerns [17].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…These techniques use the unrealistic assumption that all the deployed sensor nodes and the sink have predetermined transmission spacing [15]. In the current research, clustering processes and routing strategies are also considered distinct difficulties and lead to problems at the hot spot due to uneven resource distributions between WSN nodes [16]. According to the authors, the clustering process and routing strategies must be addressed together and not as distinct concerns [17].…”
Section: Related Workmentioning
confidence: 99%
“…The literature survey in the previous section shows that only a few studies have addressed clustering, optimal selection of CH, and routing in tandem [16,37]. Thus, this article aims to provide a mechanism that creates a network topology with long-term reliability and interconnectedness.…”
Section: Research Statementmentioning
confidence: 99%
“…Remote sensing and Artificial Intelligence technologies enables to integrate Big Data into predictive and prescriptive management tools, to improve e.g., the resilience of agricultural systems (Jung et al, 2020). Big Data virtualization in the field of agriculture enables physical objects to be virtualized, e.g., sensors and devices used for defining soil moisture, water flows, or salinity, where these objects can provide diverse meaningful information in each phase of a data chain to support decision-making and information handling (Mathivanan and Jayagopal, 2019). Furthermore, Big Data techniques are utilized in terms of plant breeding (Taranto et al, 2018), crop ideotypes for food security (Christensen et al, 2018), or in precision agriculture framework (Demestichas et al, 2020).…”
Section: Overview Of Big Data-based Climate Change Analysismentioning
confidence: 99%
“…The Web E-learning system has become a new method used for practicing skills in the task operation of both the educational sector and the industrial sector (Daniel & Yi-Shun, 2008). Therefore, the web application is very important for the forms of agricultural production (Mativanun & Jayagopal, 2019). Also, it is a new alternative used for the practice of new generations that have a skilled workforce, particularly on bio-safety.…”
Section: Introductionmentioning
confidence: 99%