| EFS: an ensemble feature selection tool implemented as R-package and web-application U Neumann, N Genze, D Heider BioData mining 10, 1-9, 2017 | 110 | 2017 |
| Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops N Genze, R Bharti, M Grieb, SJ Schultheiss, DG Grimm Plant methods 16, 1-11, 2020 | 75 | 2020 |
| Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields N Genze, R Ajekwe, Z Güreli, F Haselbeck, M Grieb, DG Grimm Computers and Electronics in Agriculture 202, 107388, 2022 | 54 | 2022 |
| Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model N Genze, M Wirth, C Schreiner, R Ajekwe, M Grieb, DG Grimm Plant Methods 19 (1), 87, 2023 | 19 | 2023 |
| HeliantHOME, a public and centralized database of phenotypic sunflower data N Bercovich, N Genze, M Todesco, GL Owens, JS Légaré, K Huang, ... Scientific Data 9 (1), 735, 2022 | 9 | 2022 |
| Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision N Genze, WK Vahl, J Groth, M Wirth, M Grieb, DG Grimm Scientific Data 11 (1), 109, 2024 | 2 | 2024 |
