@inproceedings{6242a00e4b5f4fa9918acc2343a5b072,
title = "Development of IoT based fresh food delivery tracking system using GPS",
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.",
keywords = "GPS, Global Positioning System, Internet of things, IoT, delivery tracking",
author = "Yuen, \{Man Ching\} and Choi, \{Yip Hin\} and Ng, \{Tsun Hin\} and Poon, \{Chun Tung\} and Fung, \{Kin Chung\}",
note = "Publisher Copyright: {\textcopyright} 2020 The authors and IOS Press.; 6th International Conference on Fuzzy Systems and Data Mining, FSDM 2020 ; Conference date: 13-11-2020 Through 16-11-2020",
year = "2020",
doi = "10.3233/FAIA200718",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
pages = "397--404",
editor = "Tallon-Ballesteros, \{Antonio J.\}",
booktitle = "Frontiers in Artificial Intelligence and Applications",
}