Abstract: Juglans mandshurica Maxim. plantation radical anatomical characteristics between rings were analyzed in order to confirm the mature period. Sequential clustering optimal segmentation, principal component clustering, BP neural network and support vector machine(SVM)methods were respectively used for the demarcation. Results indicated that principal component clustering, BP neural network and SVM methods could determine the growth period of Juglans mandshurica Maxim. plantation, which had 0 to 3 years distinction to the sequential clustering optimal segmentation method. Mature period and transitional period of Juglans mandshurica Maxim. plantation could be determined efficiently, while juvenile period and transitional which could not demarcated on a specific year. Through the comparative analysis of these above methods, SVM was a preferred method for juvenile and mature period demarcation of Juglans mandshurica Maxim. plantation.