DJI P4 RTK with RGB camera (20 MP, 1” CMOS sensor)

DJI P4 Multispectral with multispectral camera, 5 bands (blue, green, red, red edge, near-infrared)

DJI Matrice 600 Pro with Sony alpha 7 mark III RGB camera and MicaSense RedEdge-M multispectral camera, 5 bands (blue, green, red, red edge, near-infrared)

DJI Matrice 600 Pro with Sony alpha 7 mark IV RGB MicaSense RedEdge-MX Dual multispectral camera, (2xblue, 2xgreen, 2xred, 3xred edge, near-infrared)

Fixedwing Glider with MicaSense RedEdge-M multispectral camera, 5 bands (blue, green, red, red edge, near-infrared) and FLIR Vue Pro thermal camera

Freefly Alta-X with solar-induced chlorophyll fluorescence sensors AirFLOX and SIFcam

FreeflySystems Alta-X with JB Hyperspectral AirFloX, SIFcam (own prototype) and Sony CyberShot DSC-RXO II

Chakhvashvili, E., Machwitz, M., Antala, M., Juliane Bendig & Uwe Rascher et al. (2024) Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies, Precision Agric (2024) doi 10.1007/s11119-024-10168-3

Wang N., Siegmann B., Rascher U., Clevers J.G.P.W., Muller O., Bartholomeus H., Bendig J., Masiliu D., Pude R. & Kooistra L. (2022) Comparison of a UAV- and an airborne-based system to acquire far-red sun-induced chlorophyll fluorescence measurements over structurally different crops. Agricultural and Forest Meteorology, 323, article no. 109081, doi: 10.1016/j.agrformet.2022.109081.

Chakhvashvili E., Siegmann B., Muller O., Verrelst J., Bendig J., Kraska T. & Rascher U. (2022) Retrieval of crop variables from proximal multispectral UAV image data using PROSAIL in maize canopy. Remote Sensing, 14, article no. 1247, doi: 10.3390/rs14051247.

Wilke N., Siegmann B., Postma J.A., Muller O., Krieger V., Pude R. & Rascher U. (2021) Assessment of plant density for barley and wheat using UAV multispectral imagery for high-throughput field phenotyping. Computers and Electronics in Agriculture, 189, article no. 106380, doi: 10.1016/j.compag.2021.106380.

Quirós-Vargas J., Bendig J., Mac Arthur A., Burkart A., Julitta T., Maseyk K., Thomas R., Siegmann B., Rossini M., Celesti M., Schüttemeyer D., Kraska T., Muller O. & Rascher U. (2020) Unmanned Aerial Systems (UAS)-based methods for Solar Induced Chlorophyll Fluorescence (SIF) retrieval with non-imaging spectrometers: State of the art. Remote Sensing, 12, article no. 1624, doi: 10.3390/rs12101624.

Wilke, N., Siegmann, B., Klingbeil, L., Burkart, A., Kraska, T., Muller, O., van Doorn, A., Heinemann, S. & Rascher, U. (2019) Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach. Remote Sensing, 11, 515.

von Bueren S.K., Burkart A., Hueni A., Rascher U., Tuohy M.P. & Yule I.J. (2015) Deploying four optical UAV-based sensors over grassland: challenges and limitations. Biogeosciences, 12, 163-175.

Burkart A., Aasen H., Alonso L., Menz G., Bareth G. & Rascher U. (2015) Angular dependency of hyperspectral measurements over wheat characterized by a novel UAV based goniometer. Remote Sensing, 7, 725-746.

Burkart A., Schickling A.; Pilar Cendrero Mateo M., Wrobel T.; Rossini M., Cogliati S., Julitta T. & Rascher, U. (2015) A method for uncertainty assessment of passive sun-induced chlorophyll fluorescence retrieval by using an infrared reference light. IEEE Sensors, doi 10.1109/JSEN.2015.2422894.

Our systems are modularly developed and will constantly modified and updated using novel components. For most of our projects we currently use the Multispectral camera systems from MicaSense [www.micasense.com] in combination with the Matrice 600 drones from DJI and the AltaX drone from FreeFlySystems.

The Units were integrated by Shoot Dynamics and currently used within the Excellence Cluster PhenoRob and the INNO Lab Projects [link]