Publikationen und Medien

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Low, Johannes; Conrad, Christopher; Hill, Steven; Thiel, Michael; Ullmann, Tobias; Otte, Insa

A novel approach to assessing the tracking accuracy of crop phenology for multi-orbit and multi-feature Sentinel-1 time series Artikel

In: SCIENCE OF REMOTE SENSING, Bd. 13, 2026, ISSN: 2666-0172.

Verknüpfungen | BibTeX | Schlagwörter: Canola, DEMMIN, DiP-ZAZIkI, InSAR coherence, Phenology, Sugar beet, Wheat

Plutenko, Iaroslav; Radchuk, Volodymyr; Mayer, Simon; Keil, Peter; Ortleb, Stefan; Wagner, Steffen; Lehmann, Volker; Rolletschek, Hardy; Borisjuk, Ljudmilla

MRI-Seed-Wizard: combining deep learning algorithms with magnetic resonance imaging enables advanced seed phenotyping Artikel

In: JOURNAL OF EXPERIMENTAL BOTANY, Bd. 76, Nr. 2, S. 393-410, 2024, ISSN: 0022-0957.

Verknüpfungen | BibTeX | Schlagwörter: Automatic segmentation, Deep learning, DiP-Magdi, Grain phenotyping, Magnetic resonance imaging, Morphometry, Wheat