Analyzing and Conceptualizing Monitoring and Analytics as a Service for Grain Warehouses

  • Tien-Dung Cao
  • Hong-Linh Truong
Part of the Studies in Computational Intelligence book series (SCI, volume 642)


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.


Grain warehouse monitoring Monitoring and analytics as a service IoT Cloud computing 



We thank Prof Tong-Xuan Vo and the ITA-Rice company ( 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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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of EngineeringTan Tao UniversityĐức HòaVietnam
  2. 2.Distributed Systems GroupTU WienViennaAustria

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