Research on Key Technologies and Applications of Unmanned Aerial Vehicle Remote Sensing in Forestry Pest and Disease Control
Abstract：Taking the rubber plantation area in Yunnan Province as an example, this study investigates the application of unmanned aerial vehicle (UAV) remote sensing technology in forestry pest and disease control. By analyzing key technologies such as high-precision positioning, multi-source data fusion, intelligent identification, and precise spraying, a monitoring and control system suitable for complex terrain was established. High-resolution multispectral images were obtained using UAVs, combined with deep learning algorithms to accurately identify the distribution of pests and diseases and develop differentiated control plans. The results show that UAV remote sensing technology effectively improves the accuracy and timeliness of pest and disease monitoring, significantly reduces control costs, and greatly reduces the area affected by pests and diseases, providing technical support for precise control in large forest areas. The study suggests that with further development of remote sensing technology, intelligent pest and disease control will have broader application prospects.
Keywords：UAV remote sensingmulti-source data fusionpest and disease control
Publication Date：2025-02-27
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 44-46 )