Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/8733
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dr. YUEN Man-Ching, Connie | en_US |
dc.contributor.author | Choi, Yip-Hin | en_US |
dc.contributor.author | Ng, Tsun-Hin | en_US |
dc.contributor.author | Poon, Chun-Tung | en_US |
dc.contributor.author | Fung, Kin-Chung | en_US |
dc.date.accessioned | 2023-11-27T07:52:45Z | - |
dc.date.available | 2023-11-27T07:52:45Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Yuen, Man Ching, Choi, Yip Hin, Ng, Tsun-Hin, Poon, Chun-Tung & Fung, Kin Chung (2020). Development of IoT based fresh food delivery tracking system using GPS. In Tallon-Ballesteros, Antonio J. (Ed.). Fuzzy systems and data mining VI. 6th International Conference on Fuzzy Systems and Data Mining, FSDM 2020, Online (pp. 397-404). IOS Press BV. | en_US |
dc.identifier.isbn | 9781643681344 | - |
dc.identifier.isbn | 9781643681351 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/8733 | - |
dc.description.abstract | Home delivery service is an essential service for online shopping. The need for reliable delivery system to ensure freshness of foods is challenging with consumers’ busy schedule and heavy traffic. An efficient fresh food delivery tracking system is designed and implemented for tracking the fresh food delivery ordered on an online shopping system. The proposed system made use of Internet of Things (IoT) technology, Global Positioning System (GPS) and a smart online shopping system. Using this GPS system, consumers are able to track their delivery and arrival of their grocery to ensure the freshness of products. To create the user-friendly access website, we have included four functions in this website: Online shopping cart, system to support various payment methods, GPS food tracking system, and members’ easily access account data system. Since the cost of this fresh food delivery tracking system is low, it is suitable for online shop of start-ups. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IOS Press BV | en_US |
dc.title | Development of IoT based fresh food delivery tracking system using GPS | en_US |
dc.type | Conference Paper | en_US |
dc.relation.conference | 6th International Conference on Fuzzy Systems and Data Mining, FSDM 2020 | en_US |
dc.identifier.doi | 10.3233/FAIA200718 | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Applied Data Science | - |
Appears in Collections: | Publication |
SCOPUSTM
Citations
5
checked on Jan 3, 2024
Page view(s)
7
checked on Jan 3, 2024
Google ScholarTM
Impact Indices
Altmetric
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.