Tree Ring

Tree ring analysis, or dendrochronology, focuses on extracting information from the annual growth rings of trees to understand past climates and environmental changes. Current research emphasizes automated tree ring boundary detection using machine learning techniques, such as U-Net architectures and iterative boundary detection methods, improving accuracy and efficiency in image analysis of cross-sections. These advancements, along with the development of new datasets and algorithms for pith detection and watermarking techniques applied to diffusion model outputs, are significantly enhancing the field's capabilities and expanding its applications in areas like forestry, climate science, and digital image security.