- ORCID iD
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0000-0002-5622-8210
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- Journal Article
- A1
- open access
Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images
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- Journal Article
- A1
- open access
Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields
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- PhD Thesis
- open access
An exploration of the use of machine learning techniques for site-specific weed management
(2020) -
Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop
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Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery
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Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery