Artificial intelligence in food safety: A decade review and bibliometric analysis

Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …

Unleashing the Potential of Digitalization in the Agri-Food Chain for Integrated Food Systems

C Krupitzer, A Stein - Annual Review of Food Science and …, 2023 - annualreviews.org
Digitalization transforms many industries, especially manufacturing, with new concepts such
as Industry 4.0 and the Industrial Internet of Things. However, information technology also …

[HTML][HTML] Deep learning in food category recognition

Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou… - Information …, 2023 - Elsevier
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

The deep features and attention mechanism-based method to dish healthcare under social IoT systems: An empirical study with a hand-deep local–global net

H Gao, K Xu, M Cao, J Xiao, Q Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Many mobile apps of social Internet of Things (sIOT) systems can help us record and share
daily events, such as health and sport events. In fact, healthy diet recognition is an important …

Applications of deep learning into supply chain management: a systematic literature review and a framework for future research

F Hosseinnia Shavaki… - Artificial Intelligence …, 2023 - Springer
In today's complex and ever-changing world, Supply Chain Management (SCM) is
increasingly becoming a cornerstone to any company to reckon with in this global era for all …

A step forward in food science, technology and industry using artificial intelligence

R Esmaeily, MA Razavi, SH Razavi - Trends in Food Science & Technology, 2023 - Elsevier
Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

[HTML][HTML] Recent trends of machine learning applied to multi-source data of medicinal plants

Y Zhang, Y Wang - Journal of Pharmaceutical Analysis, 2023 - Elsevier
In traditional medicine and ethnomedicine, medicinal plants have long been recognized as
the basis for materials in therapeutic applications worldwide. In particular, the remarkable …

[HTML][HTML] Machine vision-based colorimetric sensor systems for food applications

X Jia, P Ma, K Tarwa, Q Wang - Journal of Agriculture and Food Research, 2023 - Elsevier
Food safety and quality are of importance in daily life. Colorimetric sensors can be used to
rapidly and sensitively detect food safety and quality parameters. In this review, we …

[HTML][HTML] Identifying type of sugar adulterants in honey: Combined application of NMR spectroscopy and supervised machine learning classification

K Rachineni, VMR Kakita, NP Awasthi… - Current research in food …, 2022 - Elsevier
Nuclear magnetic resonance (NMR) is a powerful analytical tool which can be used for
authenticating honey, at chemical constituent levels by enabling identification and …

Future food production prediction using AROA based hybrid deep learning model in agri-sector

S Baswaraju, VU Maheswari, K Chennam… - Human-Centric …, 2023 - Springer
Policymaking and administration of national tactics of action for food security rely heavily on
advances in models for accurate estimation of food output. In several fields, including food …