Intelligent approaches for sustainable management and valorisation of food waste

Z Said, P Sharma, QTB Nhuong, BJ Bora… - Bioresource …, 2023 - Elsevier
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 …

Use of industry 4.0 technologies to reduce and valorize seafood waste and by-products: A narrative review on current knowledge

A Hassoun, J Cropotova, H Trollman, S Jagtap… - Current research in food …, 2023 - Elsevier
Fish and other seafood products represent a valuable source of many nutrients and
micronutrients for the human diet and contribute significantly to global food security …

[HTML][HTML] Artificial intelligence applications in the agrifood sectors

I Kutyauripo, M Rushambwa, L Chiwazi - Journal of Agriculture and Food …, 2023 - Elsevier
Food security is one of the priorities of every country in the World. However, different factors
are making it difficult to meet global targets on food security. Some unprecedented shocks …

[HTML][HTML] Tackling food waste management: professional training in the public interest

MG Montesdeoca-Calderón, I Gil-Saura… - International Journal of …, 2024 - Elsevier
The magnitude of food waste is a matter of public concern, particularly in the food service
sector. This research seeks to examine the influence of employee training policies on food …

[HTML][HTML] Integrating bio-hubs in biomass supply chains: Insights from a systematic literature review

M Valipour, F Mafakheri, B Gagnon, R Prinz… - Journal of Cleaner …, 2024 - Elsevier
Biomass sources are geographically scattered, and seasonal changes influence their
availability. Variations in location, type, and feedstock quality impose logistical and storage …

[HTML][HTML] Improving efficiency and sustainability via supply chain optimization through CNNs and BiLSTM

S Dalal, UK Lilhore, S Simaiya, M Radulescu… - … Forecasting and Social …, 2024 - Elsevier
Supply chain management is changing rapidly due to increasing complexity, uncertain
demand, and the requirement for sustainable methods. Advanced technologies like …

[HTML][HTML] Predicting demand for new products in fashion retailing using censored data

MS Sousa, ALD Loureiro, VL Miguéis - Expert Systems with Applications, 2025 - Elsevier
In today's highly competitive fashion retail market, it is crucial to have accurate demand
forecasting systems, namely for new products. Many experts have used machine learning …

Optimization of apparel supply chain using deep reinforcement learning

JW Chong, W Kim, J Hong - IEEE Access, 2022 - ieeexplore.ieee.org
An effective supply chain management system is indispensable for an enterprise with a
supply chain network in several aspects. Especially, organized control over the production …

Machine learning for sustainable development: leveraging technology for a greener future

M Kagzi, S Khanra, SK Paul - Journal of Systems and Information …, 2023 - emerald.com
Purpose From a technological determinist perspective, machine learning (ML) may
significantly contribute towards sustainable development. The purpose of this study is to …

Big data—supply chain management framework for forecasting: Data preprocessing and machine learning techniques

MA Jahin, MSH Shovon, J Shin, IA Ridoy… - … Methods in Engineering, 2024 - Springer
This article systematically identifies and comparatively analyzes state-of-the-art supply chain
(SC) forecasting strategies and technologies within a specific timeframe, encompassing a …