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The poplar is important part of shelterbelt trees, so the farmland shelterbelts based on poplar play an important part in the plain, in recent years the research on structure and efficiency mode of farmland shelterbelt are more, while the prediction models of the yield and quality of the polar are much less. The growth model is main material base of poplar growth, the development of information technology provides new methods for the quantitative study of poplar growth model and evaluation. The information technology is used to extract growth character parameters of poplar, and the neural networks is used to establish the relational model of the character parameters and wood materials and wood production of poplar, these models are used to monitor and analyze growth situation and materials of poplar and potential utilization value, so can correctly assess the reasonable use of the poplar, meanwhile provide the basis for the oriented cultivation of poplar management, which have important theory value and practical significance.

Research on Yield and Quality Prediction Model of Poplar Based on Modern Information Technologies