Reprint

New Multidisciplinary Approaches for Reducing Food Waste in Agribusiness Supply Chains

Edited by
January 2024
234 pages
  • ISBN978-3-7258-0030-8 (Hardback)
  • ISBN978-3-7258-0029-2 (PDF)

This book is a reprint of the Special Issue New Multidisciplinary Approaches for Reducing Food Waste in Agribusiness Supply Chains that was published in

Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts & Humanities
Summary

This reprint is a collection of research articles that highlight the achievements of the team of the European project called the REAMIT, funded by Interreg North-West Europe and ERDF. The chapters of this reprint were published as articles in the Special Issue titled "New Multidisciplinary Approaches for Reducing Food Waste in Agribusiness Supply Chains" published in the journal Sustainability. We gratefully acknowledge the generous funding received from the Interreg North-West Europe for carrying out our activities. We believe that the reprint and individual chapters will be of interest to a wide and various audience and will kindle interests in food companies, technology companies, business support organisations, policy-makers and members of the academic community in finding ways to reduce food waste with and without the use of technology.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
cold supply chain; food waste; IoT technologies; temperature control; read-to-eat meals; food waste; Raman spectroscopy; food quality; protein; human milk bank; IoT technologies; temperature monitoring; waste reduction; food loss and waste; IoT technologies; real-time; sensors; food supply chains; environmental analysis; food supply chain; IoT technologies; life cycle assessment; excel-based tool; stand-alone model; environmental analysis; human milk bank; IoT technologies; milk waste; organisational LCA; corporate reporting; interdisciplinary approach; food waste; UK seafood companies; food supply chain; postharvest losses; food waste; cold storage; temperature-controlled storage systems; food waste; Industry 4.0; business models; motivations; challenges; aquaculture; Brazil; IoT; Internet of Things; IoT; food waste; cold chain; remote monitoring; sensor technology; IoT sensors; food waste reduction; big data; communication technologies; supply chain; Internet of Things sensors; temperature control; temperature monitoring; decision support model; food waste; food supply chains