Abstract
Wireless sensors on cold chain containers generate huge volume of real-time data that needs efficient processing for decision making, e.g. shelf life prediction due to quality decay. This paper introduces a Cloud Computing Traceability Platform (CCTP) which is constructed on top of Hadoop cloud computing framework. The user requirements for CCTP are gathered through various means including literature review, case study, brainstorming and expert questionnaire. The system is developed in Java and is evaluated on its effectiveness. CCTP provides a cloud-based unified data mining and decision support model for enterprises to achieve fresh agro-product supply chain management optimization.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IADIS International Conference Intelligent Systems and Agents |
| Subtitle of host publication | Las Palmas de Gran Canaria, Spain 22 - 24 July 2015 |
| Editors | Piet Kommers, Pedro Isaías, Heredina Fernandez Betancort |
| Publisher | IADIS Press |
| Pages | 37-44 |
| Number of pages | 8 |
| ISBN (Print) | 978-9898533395 |
| Publication status | Published - 22 Jul 2015 |