Publications by authors named "Mungunkhuyag Ariunaa"
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Synopsis of recent research by authors named "Mungunkhuyag Ariunaa"
- Mungunkhuyag Ariunaa's recent research focuses on the utilization of unmanned aerial vehicle (UAV) technology to detect and analyze the impact of the Djak pest on larch forests in Mongolia, particularly in the Binder region.
- The study employs advanced machine learning techniques, including random forest (RF) and convolutional neural network (CNN) algorithms, to develop a recognition model that can effectively identify pest damage through the analysis of RGB and multispectral imagery.
- Findings indicate that the integration of UAV imagery and sophisticated data processing techniques can provide a low-cost and efficient means of monitoring and managing pest outbreaks, ultimately contributing to the preservation of forest ecosystems threatened by the Djak pest.
