Intelligent approaches for sustainable management and valorisation of food waste

Zafar Said; Prabhakar Sharma; Quach Thi Bich Nhuong; Bhaskor J Bora; Eric Lichtfouse; Haris M Khalid; Rafael Luque; Xuan Phuong Nguyen; Anh Tuan Hoang

doi:10.1016/j.biortech.2023.128952

Intelligent approaches for sustainable management and valorisation of food waste

Bioresour Technol. 2023 Jun:377:128952. doi: 10.1016/j.biortech.2023.128952. Epub 2023 Mar 24.

Authors

Zafar Said¹, Prabhakar Sharma², Quach Thi Bich Nhuong³, Bhaskor J Bora⁴, Eric Lichtfouse⁵, Haris M Khalid⁶, Rafael Luque⁷, Xuan Phuong Nguyen⁸, Anh Tuan Hoang⁹

Affiliations

¹ Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, P. O. Box 27272, United Arab Emirates; U.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences and Technology (NUST), Islamabad, Pakistan; Department of Industrial and Mechanical Engineering, Lebanese American University (LAU), Byblos, Lebanon.
² Mechanical Engineering Department, Delhi Skill and Entrepreneurship University, Delhi-110089, India.
³ Department of Technology, Dong Nai Technology University, Dong Nai 76000, Vietnam.
⁴ Energy Institute Bengaluru, Centre of Rajiv Gandhi Institute of Petroleum Technology, Karnataka-560064, India.
⁵ State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an Shaanxi 710049 PR China.
⁶ Department of Electrical and Electronics Engineering, Higher Colleges of Technology, Sharjah 7947, United Arab Emirates; Department of Electrical and Electronic Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa; Department of Electrical Engineering, University of Santiago, Avenida Libertador 3363, Santiago, RM, Chile.
⁷ Peoples Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., 117198 Moscow, Russian Federation; Universidad ECOTEC, Km. 13.5 Samborondón, Samborondón, EC092302, Ecuador.
⁸ PATET Research Group, Ho Chi Minh City University of Transport, Ho Chi Minh City, Vietnam.
⁹ Institute of Engineering, HUTECH University, Ho Chi Minh City, Vietnam. Electronic address: hatuan@hutech.edu.vn.

PMID: 36965587
DOI: 10.1016/j.biortech.2023.128952

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.

Keywords: Artificial intelligence; Circular bioenergy; Food waste valorisation; Machine learning; Sustainability.

Publication types

Review

MeSH terms

Artificial Intelligence
Food
Refuse Disposal*
Waste Management*