Energy and agriculture are two independent sectors that share a mutual coexistence
referred to as the energy-agriculture nexus. In an attempt to facilitate the capacity of this …

Artificial intelligence, an emerging concept, has successfully been applied to bioenergy
systems. However, highly scattered reviews were narrowly associated with either part of …

The chapter examines how machine learning (ML) and artificial intelligence (AI) could be
used to solve environmental problems throughout the world. It emphasizes how crucial AI …

Efficient and sustainable energy management is crucial for addressing global environmental
challenges. Artificial intelligence (AI) has emerged as a significant tool in the energy …

Innovations in digital technologies, especially in artificial intelligence (AI), promise
substantial benefits to the agricultural sector. Agriculture is increasingly expected to ensure …

Artificial intelligence (AI) is the algorithms designed to make decisions, often using big real-
time data to perform activities that at times go beyond human capabilities. Given the …

This study explores the application of artificial intelligence (AI) in achieving sustainable
development goals, focusing on sustainable agriculture and waste management. Using a …

This study presents an innovative framework for leveraging the potential of AI in energy
systems through a multidimensional approach. Despite the increasing importance of …

The integration of artificial intelligence (AI) into sustainable development practices holds
significant promise for addressing contemporary environmental, economic, and social …

This systematic review critically analyzes the literature on the study of energy-use patterns in
agricultural crop systems in Iran. We examine the relevant methodologies and research …