A Literature Review Of Ai Technique Application In Environmental

Literature Review Pdf Artificial Intelligence Intelligence Ai There has been an increase in the use of ai applications in environmental science and engineering, particularly for modeling, monitoring, energy analysis, research, and predicting climate change. ai powered tools allow for real time monitoring of air and water quality. Through a systematic analysis of 191 research articles, we classified ai techniques applied in the field of sustainability. our review found that 65% of the studies applied supervised learning methods, 18% employed unsupervised learning, and 17% utilized reinforcement learning approaches.

How To Write Environmental Reports And Articles Using Ai Writing Tools Applications of ai in environmental management are diverse, spanning areas such as climate change mitigation, agriculture optimization, ocean health monitoring, water resource management, weather forecasting, and disaster resilience (ogundiran et al., 2024; rautela et al., 2020). The application of artificial intelligence in addressing environmental issues is an innovative and solution oriented approach with great potential to reduce environmental pollution that can disrupt human health, economic stability, and even threaten life. this article employs a literature review method. Artificial intelligence has been applied to address a wide scope of environmental sustainability topics such as biodiversity, energy, transportation, and water management. actions need to be monitored as soon as feasible in the benefits of environmental sustainability. While the conceptual nature of this study may limit its immediate application across all organizational contexts and scales, further empirical research will be needed to validate the proposed frameworks across specific industry sectors, this work provides valuable insights into the unique issues faced by green companies implementing ai.

An Application Of Selected Artificial Intelligence Techniques To Artificial intelligence has been applied to address a wide scope of environmental sustainability topics such as biodiversity, energy, transportation, and water management. actions need to be monitored as soon as feasible in the benefits of environmental sustainability. While the conceptual nature of this study may limit its immediate application across all organizational contexts and scales, further empirical research will be needed to validate the proposed frameworks across specific industry sectors, this work provides valuable insights into the unique issues faced by green companies implementing ai. Define and characterize ai agents within the context of environmental sciences, highlighting their various types, functions, and capabilities. give a summary of iot technologies applicable to environmental monitoring, highlighting the various sensors utilized for collecting water quality and climate data. 1.5.1 review existing research on ai ml applications in water treatment plant automation. this aim concerns the systematic literature review that will be used to establish the analysis of earlier studies, projects, and related initiatives that have applied ai and ml in the automation of water treatment plants. Artificial intelligence (ai) is increasingly pivotal in addressing global challenges by integrating technological advancements into environmental conservation and societal. This research examines the application of artificial intelligence (ai) in urban solid waste management, focusing on innovative solutions that optimize processes and promote environmental.