CNN feature based graph convolutional network for weed and crop recognition in smart farming
Computers and Electronics in Agriculture(2020)
摘要
•A graph-based semi-supervised learning scheme is introduced for weed and crop recognition.•Performance is assessed on four different weed datasets.•It achieved up to 98.93% accuracy which outperformed traditional CNN methods.•The proposed method can be used for similar recognition tasks.
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关键词
Weed recognition,Graph convolutional network,Deep learning,Semi-supervised learning,Smart farming
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