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Bioresource Technology
Volume 377, 2023, 128952

Intelligent approaches for sustainable management and valorisation of food waste

Zafar Saida,b,c, Prabhakar Sharmad, Quach Thi Bich Nhuonge

Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, P. O. Box 27272, United Arab Emirates.

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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