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Dongmei et al., 2020 - Google Patents

Classification and identification of citrus pests based on InceptionV3 convolutional neural network and migration learning

Dongmei et al., 2020

Document ID
4649172621474147396
Author
Dongmei Z
Ke W
Hongbo G
Peng W
Chao W
Shaofeng P
Publication year
Publication venue
2020 International Conference on Internet of Things and Intelligent Applications (ITIA)

External Links

Snippet

As one of the origins of citrus in the world, China has a large number of excellent citrus resources and mature cultivation techniques. Pests and diseases have become an important constraint on citrus harvest and quality. At present, deep learning has been widely used in …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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    • G06N3/08Learning methods
    • G06N3/082Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
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