Detection of Eucalyptus Leaf Disease with UAV Multispectral Imagery

Forest disease is one of the most important factors affecting tree growth and product quality, reducing economic values of forest ecosystem goods and services. In order to prevent and control forest diseases, accurate detection in a timely manner is essential. Unmanned aerial vehicles (UAVs) are bec...

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Veröffentlicht in:	Forests 2022-08, Vol.13 (8), p.1322
Hauptverfasser:	Liao, Kuo, Yang, Fan, Dang, Haofei, Wu, Yunzhong, Luo, Kunfa, Li, Guiying
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Band spectra case studies Disease Disease detection disease severity Diseases Diseases and pests Emergency communications systems Environmental aspects Eucalyptus foliar diseases forest diseases Forest ecosystems Forestry research forests I.R. radiation Identification and classification Image acquisition Infections Infrared radiation Leaves multispectral imagery Nitrogen Plant diseases Plantations product quality Reflectance Remote sensing Research projects Sensors Spatial discrimination Spatial resolution Spectral bands Terrestrial ecosystems tree growth Unmanned aerial vehicles Vegetation Vegetation index Wavelengths
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