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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

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Article number128952
JournalBioresource Technology
Volume377
DOIs
Publication statusPublished - Jun 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Artificial intelligence
  • Circular bioenergy
  • Food waste valorisation
  • Machine learning
  • Sustainability

ASJC Scopus subject areas

  • Bioengineering
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal

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