Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …

Background Food processing is a technique to convert agricultural produce into a
consumable food product with enhanced shelf life. The advent of Industry 4.0 greatly …

Integration of the Internet of Things (IoT) into the fields of wastewater treatment and water
quality prediction has the potential to revolutionize traditional approaches and address …

Due to climate emergencies, water stress, and fast-growing populations, many cities around
the world are adopting wastewater reclamation and reuse to improve the water supply for …

The food loss and waste (FLW)–food security nexus is a relevant issue in the societal
debate, in that it contributes to understanding the challenges posed by a continuous and …

Inorganic and organic contaminants, such as fertilisers, heavy metals, and dyes, are the
primary causes of water pollution. The field of artificial intelligence (AI) has received …

The scarcity of water resources, climate change, and water-wasting behavior have
contributed to a worsening water crisis in many countries. This has raised concerns among …

Water is an essential service for the sustainable development and economic
competitiveness of any country. The global water demand has increased substantially due to …

The food industry is very resource-intensive and continuously under stakeholder's scanner
to address the impact of climate change, resource scarcity, ever-changing consumer …

Processes that utilise low-value wastes and convert them to high-value food ingredients
systemically add value across commercial operations. Current common disposal options …