Raymond Ajekwe

Statistics

Publications

Citations

126

H-Index

Active since

2022

Affiliations

Weihenstephan-Triesdorf University of Applied Sciences(Current)

Technical University of Munich

Technologie- und Förderzentrum im Kompetenzzentrum für Nachwachsende Rohstoffe

Raymond Ajekwe is an author at Weihenstephan-Triesdorf University of Applied Sciences specializing in drone-based weed detection, crop classification, and drone-based weed monitoring.

Publications per year

2022–2023

Publications

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

Nikita Genze, Raymond Ajekwe, Zeynep Güreli et al. · Computers and Electronics in Agriculture · 2022 · 96 citations · Full text

Agriculture, Computer Science, Weed Science +17

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

Nikita Genze, Maximilian Wirth, Christian Schreiner et al. · Plant Methods · 2023 · 30 citations · Full text

Agriculture, Computer Science, Crop Sciences +17

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