The standard view when using drones is looking straight down (nadir). Oblique viewing angles allow adding more information that can be used for plant disease incidence and severity estimates. 
In 2024, the IfZ is looking for a M.Sc. student to explore the diurnal variability of leaf angle in a cercospora/sugar beet variety trial. The goal is to understand the dynamics of angular leaf movement throughout multiple days and link this to weather parameters. Different sugar beet cultivars, inoculated with Cercospora beticola and healthy plants will be assessed. Eventually, the results will be used to link them to aerial reflectance data and evaluate to what extent diurnal variability in LAD in affecting spectral signals.
Teresa Starck evaluated the accuracy and practicability of spot-spraying robots in maize and sugar beet.
Nathan Okole is investigating whether optical sensors at close-range and from uncrewed aerial systems (UAS) can be used for phenotyping Virus Yellows in sugar beet.
Larissa Krey collected, and statistically associated, various - biologically relevant - plant functional traits to the pathosystem Austropuccinia psidii on Backhousia citridora.
Published in Frontiers in Plant Science, 2015
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Published in Remote Sensing, 2015
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Published in Plant Pathology, 2018
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Published in Drones, 2019
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Published in Plant Pathology, 2019
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Published in Tropical Plant Pathology, 2019
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Published in PeerJ, 2020
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Published in Geomatics, 2021
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Published in Journal of Plant Diseases and Protection, 2022
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Published in Journal of Plant Diseases and Protection, 2022
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Published in Remote Sensing, 2023
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Agricultural Sciences (M.Sc.), Georg-August-Universität Goettingen, Agricultural Sciences, 2023
In this module, students are introduced to selected digital technologies and their technical environment for use in crop production systems. In a second block of the course, the different sensors are in the foreground: environmental sensors / optical sensors such as RGB, multi- and hyperspectral technologies / 3D technologies, chlorophyll fluorescence and thermography / acoustic sensors and force measurement / remote sensing and satellites. In a third block of the lecture, practical applications are presented, some of which are already in use: Detection of the development of a crop and abiotic stress, case studies on the detection of plant diseases by means of optical sensors and on yield parameters and machine sensors with field applications (vehicle- or airborne). Applications in arable, fruit and vegetable production are considered.