Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysisChristoph Römer, Lutz Plümer, Christian Thurau et al.|Functional Plant Biology|2012Cited by 158
Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!Anne‐Katrin Mahlein, Kristian Kersting, Matheus Thomas Kuśka et al.|Current Opinion in Plant Biology|2019Cited by 107
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral ImagesKristian Kersting, Lutz Plümer, Zhao Xu et al.|Proceedings of the AAAI Conference on Artificial Intelligence|2021Cited by 26
Simplex Distributions for Embedding Data Matrices over TimeKristian Kersting, Lutz Plümer, Jens Léon et al.|Unknown|2012Cited by 15