Abstract
In developing countries, like Vietnam, it is vital to ensure high quality of grain with traceable origins, because grain is of paramount importance for business and food security purposes. However, it is very challenging to build information systems to track, monitor, analyze and manage grain warehouses in scattered flood of Mekong delta—Vietnam, given under developed physical and informational infrastructures. In this paper, we analyze requirements and conceptualize monitoring and analytics as a service for grain warehouses, with a focus on Vietnam’s environment. We analyze different stakeholders and their needs for monitoring and analytics features for grain warehouses. Leveraging the cloud computing model, big data analytics and Internet of Things (IoT), we design a conceptual framework to monitor various important information for grain warehouses and present different data analytics services that should be provided.
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Notes
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As private discussion with Prof. Tong-Xuan Vo.
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Detailed pricing and contract models are out of the scope of this paper.
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Acknowledgement
We thank Prof Tong-Xuan Vo and the ITA-Rice company (http://tantaorice.com) for fruitful discussion and useful knowledge on grain. We thank Quang-Hieu Vu and Tran-Vu Pham for their fruitful discussion on IoT and data analytics.
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Cao, TD., Truong, HL. (2016). Analyzing and Conceptualizing Monitoring and Analytics as a Service for Grain Warehouses. In: Król, D., Madeyski, L., Nguyen, N. (eds) Recent Developments in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-31277-4_14
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DOI: https://doi.org/10.1007/978-3-319-31277-4_14
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