Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery

[Display omitted] •A yellow rust detection system was developed by learning from UAV imagery.•RVI, NDVI and OSAVI ranked top 3 among 18 SVIs for rust detection.•NIR and Red ranked top 2 among 5 VIS–NIR bands for rust detection.•An experiment was designed to verify the system with promising performan...

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Veröffentlicht in:	Computers and electronics in agriculture 2018-12, Vol.155, p.157-166
Hauptverfasser:	Su, Jinya, Liu, Cunjia, Coombes, Matthew, Hu, Xiaoping, Wang, Conghao, Xu, Xiangming, Li, Qingdong, Guo, Lei, Chen, Wen-Hua
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural land Agriculture Image classification Inoculation Inoculum Learning Low altitude Low cost Machine learning Monitoring Multispectral image Plant stress Plants (botany) Random forest Spectra Spectral bands Spectral vegetation index (SVI) Unmanned Aerial Vehicle (UAV) Unmanned aerial vehicles Vegetation index Wheat Wheat yellow rust
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