Hyperspectral imaging is a powerful tool in phyisological phenotyping. In particular, assessments of plant disease can benefit from spectral imaging, and frequently non-visible wavelengths provide additional information to the spectral signatures derived from visible light.

Together with our partners in the DePhenSe project we recently published a paper in the “Remote Sensing” journal.

Brugger A, Behmann J, Paulus S, Luigs H-G, Kuska MT, Schramowski P, Kersting K, Steiner U, Mahlein A-K (2019) Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. Remote Sensing 11:1401

In the DePhenSe project we work with crop experts in the Institute for Crop Science and Resource Conservation (INRES) at University of Bonn and in the Institute for Sugar Beet Research at the University of Göttingen, as well as with the computer vision experts in the Computer Science Department and Centre for Cognitive Science at Technical University Darmstadt.

The DePhenSe project is funded by the Bundesministerium für Ernährung und Landwirtschaft.