Recent advances in AI for enhanced environmental monitoring and preservation

This paper explores the potential applications of cutting-edge Artificial Intelligence (AI) technologies, specifically Vision Transformer and Diffusion models in the field of environmental monitoring and preservation. By analyzing the current state of the art, we highlight the potential of these advanced techniques in capturing, analyzing, and communicating environmental data. Vision Transformer models demonstrate their effectiveness in identifying and classifying environmental features, while Diffusion models offer realistic image generation capabilities. We discuss the diverse applications of these models, such as visualizing environmental impacts, enhancing data quality, and generating synthetic images for training datasets. By bridging the gap between AI advancements and environmental research, this paper paves the way for improved accuracy, efficiency, and communication in the realm of sustainable environmental practices.