volume 377 pages 128952

Intelligent approaches for sustainable management and valorisation of food waste

Zafar Said 1, 2, 3
Prabhakar Sharma 4
Quach Thi Bich Nhuong 5
Bhaskor J Bora 6
Eric Lichtfouse 7
S. M. Muyeen 8, 9, 10
R. López-Luque 11, 12
Xuan Phuong Nguyen 13
Anh N. Hoang 14
5
 
Department of Technology, Dong Nai Technology University, Dong Nai 76000, Vietnam
8
 
Department of Electrical Engineering, University of Santiago, Avenida Libertador 3363, Santiago, RM, Chile
14
 
Institute of Engineering, HUTECH University, Ho Chi Minh City, Vietnam
Publication typeJournal Article
Publication date2023-06-01
scimago Q1
wos Q1
SJR2.395
CiteScore20.7
Impact factor9.0
ISSN09608524, 18732976
General Medicine
Bioengineering
Environmental Engineering
Renewable Energy, Sustainability and the Environment
Waste Management and Disposal
Abstract
Food waste (FW) is a severe environmental and social concern that today's civilization is facing. Therefore, it is necessary to have an efficient and sustainable solution for managing FW bioprocessing. Emerging technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) are critical to achieving this, in which IoT sensors' data is analyzed using AI and ML techniques, enabling real-time decision-making and process optimization. This work describes recent developments in valorizing FW using novel tactics such as the IoT, AI, and ML. It could be concluded that combining IoT, AI, and ML approaches could enhance bioprocess monitoring and management for generating value-added products and chemicals from FW, contributing to improving environmental sustainability and food security. Generally, a comprehensive strategy of applying intelligent techniques in conjunction with government backing can minimize FW and maximize the role of FW in the circular economy toward a more sustainable future.
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GOST |
Cite this
GOST Copy
Said Z. et al. Intelligent approaches for sustainable management and valorisation of food waste // Bioresource Technology. 2023. Vol. 377. p. 128952.
GOST all authors (up to 50) Copy
Said Z., Sharma P., Thi Bich Nhuong Q., Bora B. J., Lichtfouse E., Muyeen S. M., López-Luque R., Nguyen X. P., Hoang A. N. Intelligent approaches for sustainable management and valorisation of food waste // Bioresource Technology. 2023. Vol. 377. p. 128952.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.biortech.2023.128952
UR - https://doi.org/10.1016/j.biortech.2023.128952
TI - Intelligent approaches for sustainable management and valorisation of food waste
T2 - Bioresource Technology
AU - Said, Zafar
AU - Sharma, Prabhakar
AU - Thi Bich Nhuong, Quach
AU - Bora, Bhaskor J
AU - Lichtfouse, Eric
AU - Muyeen, S. M.
AU - López-Luque, R.
AU - Nguyen, Xuan Phuong
AU - Hoang, Anh N.
PY - 2023
DA - 2023/06/01
PB - Elsevier
SP - 128952
VL - 377
PMID - 36965587
SN - 0960-8524
SN - 1873-2976
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Said,
author = {Zafar Said and Prabhakar Sharma and Quach Thi Bich Nhuong and Bhaskor J Bora and Eric Lichtfouse and S. M. Muyeen and R. López-Luque and Xuan Phuong Nguyen and Anh N. Hoang},
title = {Intelligent approaches for sustainable management and valorisation of food waste},
journal = {Bioresource Technology},
year = {2023},
volume = {377},
publisher = {Elsevier},
month = {jun},
url = {https://doi.org/10.1016/j.biortech.2023.128952},
pages = {128952},
doi = {10.1016/j.biortech.2023.128952}
}
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