Proximal and Drone Based Hyperspectral Sensing for Crop Nitrogen Status Detection in Historic Field Trials. - Gregor Perich; Patrick Meyer; Alice Wieser; Frank Liebisch (WHISPERS, 2021)

Crop mapping from image time series: deep learning with multi-scale label hierarchies. - Mehmet Ozgur Turkoglu; Stefano D'Aronco; Gregor Perich; Frank Liebisch; Constantin Streit; Konrad Schindler; Jan Dirk Wegner (CoRR, 2021)

Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data. - Gregor Perich; Helge Aasen; Jochem Verrelst; Francesco Argento; Achim Walter; Frank Liebisch (Remote. Sens., 2021)

EOdal: An open-source Python package for large-scale agroecological research using Earth Observation and gridded environmental data. - Lukas Graf 002; Gregor Perich; Helge Aasen (Comput. Electron. Agric., 2022)

In-season forecasting of within-field grain yield from Sentinel-2 time series data. - Eatidal Amin; Luca Pipia; Santiago Belda; Gregor Perich; Lukas Valentin Graf; Helge Aasen; Shari Van Wittenberghe; José F. Moreno; Jochem Verrelst (Int. J. Appl. Earth Obs. Geoinformation, 2024)

A comparison of proximal and remote optical sensor platforms for N status estimation in winter wheat. - Francesco Argento; Quirina Noëmi Merz; Gregor Perich; Thomas Anken; Achim Walter; Frank Liebisch (Comput. Electron. Agric., 2025)