Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art.

@article{Mahlein2018HyperspectralSA,
  title={Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art.},
  author={Anne-Katrin Mahlein and Matheus Thomas Kuska and Jan Behmann and Gerrit Polder and Arnold Walter},
  journal={Annual review of phytopathology},
  year={2018},
  volume={56},
  pages={
          535-558
        }
}
Plant disease detection represents a tremendous challenge for research and practical applications. Visual assessment by human raters is time-consuming, expensive, and error prone. Disease rating and plant protection need new and innovative techniques to address forthcoming challenges and trends in agricultural production that require more precision than ever before. Within this context, hyperspectral sensors and imaging techniques-intrinsically tied to efficient data analysis approaches-have… 
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