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http://dx.doi.org/10.17703/JCCT.2020.6.4.709

Database Design for Growth Prediction of Forest using Drone Photo  

Oh, Sun Jin (Dept. of Computer & Information Science, Semyung University)
Publication Information
The Journal of the Convergence on Culture Technology / v.6, no.4, 2020 , pp. 709-714 More about this Journal
Abstract
Forest resources are the most important element that can affect the nature environment directly in modern society. Due to the fast industrialization of our country and marginal states like China, many people suffer torments from severe environmental pollution like yellow and fine dusts everyday recently. So the interests concerned about the significance of nature and environment become major issue nowadays. Precious forest resources, however, are not properly managed and destroyed vainly due to frequent mountain fires, damages by floods, and unplanned land development in real world. Therefore, efficient forest management is required to solve these problems effectively. In this research, we design and implement the forest information database that can predict the growth of forest resources and enables us to manage forest resources efficiently, make decision for logging, build the waterway to prevent flooding, and construct a future tree-planting project easily using forest aerial photograph taken by a drone in order to deploy and manage the forest resources scientifically and systematically.
Keywords
Forest resources; Growth prediction; Forest information database; Drone; Protection of environment;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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