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Effects of Foregrou...
Effects of Foreground Augmentations in Synthetic Training Data on the Use of UAVs for Weed Detection
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- Hallösta, Simon, 1994- (författare)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
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- Pettersson, Mats, 1966- (författare)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
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- Dahl, Mattias (författare)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
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(creator_code:org_t)
- ML Research Press, 2024
- 2024
- Engelska.
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Ingår i: Proceedings of Machine Learning Research. - : ML Research Press.
- Relaterad länk:
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https://bth.diva-por... (primary) (Raw object)
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Abstract
Ämnesord
Stäng
- This study addresses the issue of black-grass, a herbicide-resistant weed that threatens wheat yields in Western Europe, through the use of high- resolution Unmanned Aerial Vehicles (UAVs) and synthetic data augmentation in precision agriculture. We mitigate challenges such as the need for large labeled datasets and environmental variability by employing synthetic data augmentations in training a Mask R-CNN model. Using a minimal dataset of 43 black-grass and 12 wheat field images, we achieved a 37% increase in Area Under the Curve (AUC) over the non-augmented baseline, with scaling as the most effective augmentation. The best model attained a recall of 53% at a precision of 64%, offering a promising approach for future precision agriculture applications. © NLDL 2024. All rights reserved.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Jordbruksvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Agricultural Science (hsv//eng)
Nyckelord
- Aircraft detection
- Antennas
- Large datasets
- Unmanned aerial vehicles (UAV)
- Weed control
- Aerial vehicle
- Data augmentation
- Herbicide resistant weeds
- High resolution
- Precision Agriculture
- Synthetic data
- Synthetic training data
- Weed detection
- Western Europe
- Wheat yield
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)