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

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

Abstract Background Efficient and site-specific weed management is a critical step in many agricultural tasks. Image captures from drones and modern machine learning based computer vision methods can be used to assess weed infestation in agricultural fields more efficiently. However, the image quali...

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Bibliographic Details
Main Authors: Nikita Genze, Maximilian Wirth, Christian Schreiner, Raymond Ajekwe, Michael Grieb, Dominik G. Grimm
Format: Article
Language:English
Published: BMC 2023-08-01
Series:Plant Methods
Subjects:
Weed detection
Segmentation
Machine learning
Computer vision
Deblurring
UAV
Online Access:https://doi.org/10.1186/s13007-023-01060-8

Internet

https://doi.org/10.1186/s13007-023-01060-8

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