Artificial Intelligence (AI) for Environmental Sustainability: A Concise Review of Technology Innovations in Energy, Transportation, Biodiversity, and Water Management

Abstract

Artificial Intelligence plays a crucial role in addressing various environmental sustainability challenges through technological innovations in the fields of energy, transportation, biodiversity, and water management. Thus, the present study aims to present a concise review of Artificial Intelligence (AI) toward achieving environmental sustainability. The main areas of concentration in innovations in the field of energy encompass neural networks, expert systems, pattern recognition, and fuzzy logic models. Artificial Intelligence enables the creation of advanced prediction models for renewable energy production, enhancing the allocation of resources and management of the power grid. Moreover, computer vision and decision assistance have been used in the field of transportation. Additionally, the use of Artificial Intelligence and machine learning is growing to predict and enhance water resource conservation. Besides, machine learning and natural language processing techniques are being used in biodiversity research to predict ecological services. However, regular monitoring of initiatives is necessary to enhance environmental sustainability.