Affiliation:
1. Hangzhou Dianzi University
2. Zhejiang Academy of Agricultural Sciences
Abstract
In order to solve the current bee products quality and safety issues, this paper presents the quality traceability system for bee products based on intelligent business. This system uses state-of-the-art technologies, such as ASP.NET, CDMA, GPS, XML, data collection and barcode technology. Distinctive apiculture log as an information carrier plays a key role in the system. It saves the collection data from Android terminal and is uploaded to Access database server. The web client displays the analysis results for enterprise management personnel to view and feedback. To achieve quality traceability, its’ function reflects in the history search for raw materials source, beekeepers breeding technology help and bee products quality feedback.
Publisher
Trans Tech Publications, Ltd.
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