Portable Food‐Freshness Prediction Platform Based on Colorimetric Barcode Combinatorics and Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

Portable Food‐Freshness Prediction Platform Based on Colorimetric Barcode Combinatorics and Deep Convolutional Neural Networks

Published:2020-10 Issue:45 Volume:32 Page:2004805
ISSN:0935-9648
Container-title:Advanced Materials
language:en
Short-container-title:Adv. Mater.

Author:

Guo Lingling¹,Wang Ting²,Wu Zhonghua³,Wang Jianwu²,Wang Ming²,Cui Zequn²,Ji Shaobo²,Cai Jianfei⁴,Xu Chuanlai¹,Chen Xiaodong²^ORCID

Affiliation:

1. International Joint Research Laboratory for Biointerface and Biodetection State Key Lab of Food Science and Technology, and School of Food Science and Technology Jiangnan University 1800 Lihu Road Wuxi Jiangsu Province 214122 P. R. China

2. Innovative Center for Flexible Devices (iFLEX) Max Planck–NTU Joint Lab for Artificial Senses School of Materials Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore

3. School of Computer Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore

4. Department of Data Science & AI Monash University Clayton Victoria 3168 Australia

Funder

Agency for Science, Technology and Research

National Research Foundation Singapore

Ministry of Education - Singapore

Nanyang Technological University

China Scholarship Council

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science