马尾松是我国南方主要造林树种,其苗木活力的快速精准评价是林业行业的关键技术问题。本项目将综合运用彩色3D重构技术，近红外光谱检测技术以及激光散斑技术等快速无损检测手段，并结合林学基础理论与方法实现马尾松苗木形态指标，生理指标以及根生长率指标的快速精准检测。在此基础上运用多种建模方法，通过与根生长势测试方法所得活力指标相类比，建立马尾松苗木多信息指标与苗木活力之间的快速精准评价模型。本项目以最新的测量检测技术丰富了传统的苗木质量指标数据获取的方法，并借鉴不同学科的理论挖掘蕴含其中的相互作用机理，进而为苗木质量评价研究和我国“数字化林业”的建设拓宽了思路。

Masson pine is the major afforestation tree species in south China, and rapid and precision evaluation of seedling vigor is the key technique problem in forestry industry. The project takes color 3D reconstruction, near infrared spectroscopy and laser speckle as the means for measurement, also combine with forest science to realize rapid and precision detection of quality indexes for masson pine seedling, such as morphological indexes, physiological indexes and rate of root growth. Some modeling methods are used to construct rapid and precision evaluation model between multi-information indexes and seedling vigor, with comparison with standard root growth potential testing method’s indexes. In brief, the topic use the latest measurement technology to extend traditional seedling quality index acquisition method, and combine multidisciplinary theory to seek interactive mechanism. After this project study, the modes of seedling quality measurement are broaden and the construction of Chinese forestry digitization process is developed.