SmartNoshWaste: Using Blockchain, Machine Learning, Cloud Computing and QR Code to Reduce Food Waste in Decentralized Web 3.0 Enabled Smart Cities

被引：33

作者：

Dey, Somdip ^{[1
,2
,3
]}

Saha, Suman ^{[2
]}

Singh, Amit Kumar ^{[1
]}

McDonald-Maier, Klaus ^{[1
]}

机构：

[1] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, Essex, England

[2] Nosh Technol, Colchester CO4 3SL, Essex, England

[3] Univ Essex, Wivenhoe Pk, Colchester CO4 3SQ, Essex, England

来源：

SMART CITIES | 2022年 / 5卷 / 01期

关键词：

food production; supply chain; blockchain; qr code; machine learning; food security; food waste; sustainability; reinforcement learning; agriculture; TECHNOLOGY; MANAGEMENT;

D O I：

10.3390/smartcities5010011

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Food waste is an important social and environmental issue that the current society faces, where one third of the total food produced is wasted or lost every year while more than 820 million people around the world do not have access to adequate food. However, as we move towards a decentralized Web 3.0 enabled smart city, we can utilize cutting edge technologies such as blockchain, artificial intelligence, cloud computing and many more to reduce food waste in different phases of the supply chain. In this paper, we propose SmartNoshWaste-a blockchain based multi-layered framework utilizing cloud computing, QR code and reinforcement learning to reduce food waste. We also evaluate SmartNoshWaste on real world food data collected from the nosh app to show the efficacy of the proposed framework and we are able to reduce food waste by 9.46% in comparison to the originally collected food data based on the experimental evaluation.

引用

页码：162 / 176

页数：15

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