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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Detaylı Bibliyografya
Asıl Yazarlar: Nikita Genze, Maximilian Wirth, Christian Schreiner, Raymond Ajekwe, Michael Grieb, Dominik G. Grimm
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: BMC 2023-08-01
Seri Bilgileri:Plant Methods
Konular:
Weed detection
Segmentation
Machine learning
Computer vision
Deblurring
UAV
Online Erişim:https://doi.org/10.1186/s13007-023-01060-8

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