Abstract
Forestry is included in the traditional industry. Due to the resource characteristics of naturalness, renewability and long harvest period. The management and decision are extremely dependent on data collection, interpretation and experience. Therefore, the cost of time, manpower, and material resources are quite large and it's difficult to a conduct large-scale monitoring and information processing. Moreover, lack of Long-term data and insufficient judgment information caused doubts about poor decision quality. In addition, regarding forest production, since the second half of the 20th century, the public environmental conservation opinion, the aging and shortage of the labor and low wages, have been reducing the self-sufficiency rate of domestic timber to low degree. Nevertheless, changing of global forest resources, environmental protection, climate change, carbon emissions and wood certification issues are being heated debate. Pursuing the principles of sustainable development, social fairness and intergenerational justice, increasing the self-sufficiency rate of domestic timber has become an inevitable trend. According to the conclusion of the 6th National Agricultural congress held in 2018, in the future, we will reach the goal of a self-sufficiency rate of wood in 5% within 10 years. However, most of the domestic timber that can be provided is still undersized. With the advanced of digital and intelligentized technologies, the project will stabilize domestic timber supply system and promote the development of forest industry by the establishment of production and supply decision systems on plantation. In order to achieve the goals, we will expect to conduct research in the following two items: ●Decision system for plantation thinning planning.●The link and traceability management system of timber production and sales.