Datasets
MuST-C Dataset: The Multi-Sensor and Multi-Temporal Data Set of Multiple Crops for In-Field Phenotyping and Monitoring
https://www.ipb.uni-bonn.de/data/MuST-C/
Y. L. Chong, J. Krämer, E. Chakhvashvili, E. Marks, F. Esser, A. Dreier, R. A. Rosu, K. Warstat, R. Pude, S. Behnke, O. Muller, U. Rascher, H. Kuhlmann, C. Stachniss, J. Behley, L. Klingbeil. The Multi-Sensor and Multi-Temporal Dataset of Multiple Crops for In-Field Phenotyping and Monitoring. Sci Data (2026). https://doi.org/10.1038/s41597-025-06462-y
Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis
https://www.ipb.uni-bonn.de/data/pheno4d
D. Schunck, F. Magistri, R. A. Rosu, A. Cornelißen, N. Chebrolu, S. Paulus, J. Léon, S. Behnke, C. Stachniss, H. Kuhlmann, and L. Klingbeil, “Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis,” PLOS ONE, vol. 16, iss. 8, pp. 1-18, 2021. doi:10.1371/journal.pone.0256340