Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art
- Autor/in: Mahlein, A.-K., M. T. Kuska, J. Behmann, G. Polder, A. Walter
- Jahr: 2018
- Zeitschrift: Annual Review of Phytopathology 56
- Seite/n: 535-558
- Stichworte: plant disease detection, noninvasive, digital technologies, machine learning, phenotyping, precision agriculture