Nikita Genze
Nikita Genze
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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
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
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
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
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
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
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