Abstract
Eucalyptus is the main fast-growing and high-yielding tree species in southern China and is the main source of wood production. Over the years, there have been many reports that eucalyptus is a water pump and that eucalyptus causes serious damage to understory vegetation. In this paper, a sensor network of eucalyptus plantation has been established in Yinling branch of Gaofeng Forest Farm in Guangxi, the main eucalyptus producing province. The sensor network can monitor the DBH changes, trunk runoff, soil moisture, environmental information and so on of eucalyptus in the stand in real time. The collected data are uploaded to the artificial forest Internet of Things monitoring information cloud management system established in this paper. This paper introduces the functions of the cloud management system in detail. On this basis, this paper discusses the fusion of high-frequency information collected from monitoring points to meet different data requirements. The research on data fusion in this paper is very preliminary. In the conclusion part, the future research on long-term monitoring data fusion of eucalyptus forest is prospected.
Highlights
The southeast coastal areas of China have excellent natural conditions and are suitable for the development of short-term industrial raw material forests such as eucalyptus and tropical precious timber forests
Internet of Things technologies such as wireless sensor networks have been applied in agriculture, orchards and other fields in recent years, but there are still many technical problems to be solved, such as the large forest area and complex environment, how to arrange the collection nodes with sensing function and how to send wireless communication methods to the server
Internet of Things technologies such as wireless sensor network, field rapid measurement and feedback are adopted to sense the information of soil moisture, soil nutrients, environment, light, forest growth and other information of the artificial timber forest in a timely manner, so as to realize fine management and improve the management level
Summary
The southeast coastal areas of China have excellent natural conditions and are suitable for the development of short-term industrial raw material forests such as eucalyptus and tropical precious timber forests. Internet of Things technologies such as wireless sensor networks have been applied in agriculture, orchards and other fields in recent years, but there are still many technical problems to be solved, such as the large forest area and complex environment, how to arrange the collection nodes with sensing function and how to send wireless communication methods to the server. Internet of Things technologies such as wireless sensor network, field rapid measurement and feedback are adopted to sense the information of soil moisture, soil nutrients, environment, light, forest growth and other information of the artificial timber forest in a timely manner, so as to realize fine management and improve the management level. The existing plantation cultivation technology focuses on the seedling stage, and its Internet of Things monitoring is relatively easy, while there is still a lack of detailed technical research in the growth and management stage of trees. Forest managers use mathematical statistics to obtain a long-term management plan, which cannot be adjusted in time according to the actual situation of water, soil and gas
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