Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …

Digitalisation is rapidly transforming the agri-food sector. This paper investigates emerging
opportunities, challenges and policy options. We show that digital innovations can contribute …

Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

Understanding the landscape of potential harms from algorithmic systems enables
practitioners to better anticipate consequences of the systems they build. It also supports the …

The digitalization of agricultural production and the use of digital data are fundamentally
transforming processes, products, and services of the agro-food systems. Digitalization …

Artificial intelligence (AI) innovation in healthcare has emerged as an increasingly significant
area of research. AI, digital data collection, and computer infrastructure advancements have …

Food waste is a global issue with significant economic, social, and environmental impacts.
Addressing this problem requires a multifaceted approach; one promising avenue is using …

Abstract According to the World Business Council for Sustainable Development (WBCSD),
the built environment contributes around 10% of global GDP but is also a major source of …

Ethics, explainability, responsibility, and accountability are important concepts for
questioning the societal impacts of artificial intelligence and machine learning (AI), but are …

Artificial intelligence (AI) and robots are increasingly becoming a part of workplaces across
the globe. The hospitality sector has also adopted the usage of AI, robots, and other modern …