Abstract: In recent years, significant progress has been made in wood color treatment technologies, with various methods collectively advancing the wood processing industry. The use of bleaching agents has improved the color uniformity of wood, laying a solid foundation for subsequent treatments. Fungal staining achieves color changes through biological processes, while natural dyes enhance the UV resistance and anti-mold properties of wood, extending its outdoor lifespan. Metal ion color changes, through reactions with wood components, bring rich color variations and enhance decorative appeal. Heat treatment alters the wood's structure, deepening its color and increasing durability. Building on these advancements, intelligent algorithms, particularly machine learning techniques, have been applied to staining and heat treatment processes, enabling precise parameter adjustments and outcome predictions, significantly boosting production efficiency and product quality. These integrated technologies are driving the wood processing industry toward greater efficiency, environmental sustainability, and long-term viability.