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  • Wild, Andreas J.; Steiner, Franziska A.; Kiene, Marvin; Tyborski, Nicolas; Tung, Shu-Yin; Koehler, Tina; Carminati, Andrea; Eder, Barbara; Groth, Jennifer; Vahl, Wouter K.; Wolfrum, Sebastian; Lueders, Tillmann; Laforsch, Christian; Mueller, Carsten W.; Vidal, Alix; Pausch, Johanna (2024)
    Unraveling root and rhizosphere traits in temperate maize landraces and modern cultivars: Implications for soil resource acquisition and drought adaptation
    Plant Cell Environ - 47(7) 2526–2541, DOI: 10.1111/pce.14898

  • Genze, Nikita; Vahl, Wouter K.; Groth, Jennifer; Wirth, Maximilian; Grieb, Michael; Grimm, Dominik G. (2024)
    Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision
    Scientific Data - 11(1) 109, DOI: 10.1038/s41597-024-02945-6

  • Khan, Nazifa Azam; Cieslak, Mikolaj; McQuillan, Ian (2024)
    Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola
    - () , DOI: 10.48550/arXiv.2404.05128

  • Steiner, Franziska A.; Wild, Andreas J.; Tyborski, Nicolas; Tung, Shu-Yin; Koehler, Tina; Buegger, Franz; Carminati, Andrea; Eder, Barbara; Groth, Jennifer; Hesse, Benjamin D.; Pausch, Johanna; Lüders, Tillmann; Vahl, Wouter K.; Wolfrum, Sebastian; Mueller, Carsten W.; Vidal, Alix (2024)
    Rhizosheath drought responsiveness is variety-specific and a key component of belowground plant adaptation
    New Phytol (New Phytologist) - 242(2) 479–492, DOI: 10.1111/nph.19638

  • Wang, Weixuan; Guo, Weijun; Le, Liang; Yu, Jia; Wu, Yue; Li, Dongwei; Wang, Yifan; Wang, Huan; Lu, Xiaoduo; Qiao, Hong; Gu, Xiaofeng; Tian, Jian; Zhang, Chunyi; Pu, Li (2023)
    Integration of high-throughput phenotyping, GWAS, and predictive models reveals the genetic architecture of plant height in maize
    Molecular Plant - 16(2) 354–373, DOI: 10.1016/j.molp.2022.11.016

  • Xu, Zheng; Wu, Cong (2023)
    Combination of Transfer Deep Learning and Classical Machine Learning Models for Multi-View Image Analysis
    - () 13, DOI: 10.3390/IOCMA2023-14401

  • Thapa, Kantilata (2023)
    Characterization of Physical and Biochemical Traits in Wheat and Corn Plants Using High Throughput Image Analysis
    Thesis, University of Nebraska Lincoln - () , DOI:

  • Ramírez-Rojas, Christian; Peña-Valdivia, Cecilia Beatriz; García-Esteva, Antonio; Padilla-Chacón, Daniel (2022)
    Fenotipo de plantas de maíz con efecto del herbicida mesotrione
    Remexca (Revista Mexicana de Ciencias Agrícolas) - 13(8) 1399–1410, DOI: 10.29312/remexca.v13i8.2886

  • Tung, Shu-Yin; Köhler, Tina; Wild, Andreas J.; Steiner, Franziska; Tyborski, Nicolas; Pausch, Johanna; Lüders, Tillmann; Müller, Carsten W.; Vidal, Alix; Carminati, Andrea; Vahl, Wouter; Groth, Jennifer; Eder, Barbara; Wolfrum, Sebastian (2022)
    High-throughput phenotyping of 38 maize varieties for the study of rhizosphere traits affecting agronomic resilience under drought stress 
    - () , DOI: 10.5194/egusphere-egu22-4020

  • Rossi, Riccardo; Costafreda-Aumedes, Sergi; Summerer, Stephan; Moriondo, Marco; Leolini, Luisa; Cellini, Francesco; Bindi, Marco; Petrozza, Angelo (2022)
    A comparison of high-throughput imaging methods for quantifying plant growth traits and estimating above-ground biomass accumulation
    European Journal of Agronomy - 141() 126634, DOI: 10.1016/j.eja.2022.126634