Author

Nikita Genze

Observed name: Genze, Nikita

Institutions: Weihenstephan-Triesdorf University of Applied Sciences, Technical University of Munich

Observed institutions: Weihenstephan-Triesdorf University of Applied Sciences, Technical University of Munich

ORCID: 0000-0001-8869-6599

Observed ORCID: 0000-0001-8869-6599

OpenAlex ID: A5080904082

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops

2020 · Nikita Genze, Richa Bharti, et al. · Plant Methods · 126

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Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields

2022 · Nikita Genze, Raymond Ajekwe, et al. · Computers and Electronics in Agriculture · 119

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EFS: an ensemble feature selection tool implemented as R-package and web-application

2017 · Ursula Neumann, Nikita Genze, et al. · BioData Mining · 95

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Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model

2023 · Nikita Genze, Maximilian Wirth, et al. · Plant Methods · 42

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Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision

2024 · Nikita Genze, Wouter K. Vahl, et al. · Scientific Data · 26

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The combined effect of decreased stomatal density and aperture increases water use efficiency in maize

2025 · Larissa Barl, Betina Debastiani Benato, et al. · Scientific Reports · 14

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HeliantHOME, a public and centralized database of phenotypic sunflower data

2022 · Natalia Bercovich, Nikita Genze, et al. · Scientific Data · 13

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Data for: Genetic dissection of dehulling efficiency in sunflower

2026 · Stadlmeier, Melanie, Genze, Nikita, et al. · Mendeley Data

Deep learning–based identification of visually similar foliar diseases in field-grown barley

2026 · Sofia Martello, Nikita Genze, et al. · Plant Methods

Additional file 1 of Deep learning–based identification of visually similar foliar diseases in field-grown barley

2026 · Martello, Sofia, Genze, Nikita, et al. · Figshare

Deep learning–based identification of visually similar foliar diseases in field-grown barley

2026 · Martello, Sofia, Genze, Nikita, et al. · Figshare

EWIS1: Maize, Sorghum & Weed Dataset

2026 · Genze, Nikita, Grieb, Michael, et al. · Mendeley Data

Entwicklung von Beikraut-Applikationskarten für den teilflächenspezifischen Pflanzenschutz

2026 · Jänicke, Jan, Pitsyk, Vladyslav, et al. · Berichte über Landwirtschaft - Zeitschrift für Agrarpolitik und Landwirtschaft

Data for: Deep Learning–Based Identification of Visually Similar Foliar Diseases in Field-Grown Barley

2026 · Martello, Sofia, Genze, Nikita, et al. · Mendeley Data

Towards Data-efficient Weed Detection via Fine-Tuning Grounding DINO

2026 · Harshavardhan Subramanian, Nikita Genze, et al. · SSRN Electronic Journal

Assessing Training Data Efficiency of Fine-Tuned Object Detection Models for Drone-Based Crop and Weed Detection

2026 · Harshavardhan Subramanian, Nikita Genze, et al. · SSRN Electronic Journal

Works count: 31

Citation count: 441

H-index: 7

I10-index: 7