Weed instance segmentation from UAV Orthomosaic Images based on Deep Learning

Weed instance segmentation from UAV Orthomosaic Images based on Deep Learning

Weeds significantly impact agricultural production, and traditional weed control methods often harm soil health and environment. This study aimed to develop deep learning-based segmentation models in identifying weeds in potato fields captured by Unmanned Aerial Vehicle (UAV) orthophotos and to expl...

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Bibliographic Details
Main Authors: Chenghao Lu, Klaus Gehring, Stefan Kopfinger, Heinz Bernhardt, Michael Beck, Simon Walther, Thomas Ebertseder, Mirjana Minceva, Yuncai Hu, Kang Yu
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Smart Agricultural Technology
Subjects:
Drone orthophotos
Weed segmentation
Yolov8
Mask r-cnn
Real-esrgan
Super-resolution
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525001996
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http://www.sciencedirect.com/science/article/pii/S2772375525001996

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