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Shabrina et al., 2023 - Google Patents

A comparative analysis of convolutional neural networks approaches for phytoparasitic nematode identification

Shabrina et al., 2023

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Document ID
16076948720813638541
Author
Shabrina N
Indarti S
Lika R
Maharani R
Publication year
Publication venue
Commun. Math. Biol. Neurosci.

External Links

Snippet

Phytoparasitic nematode is a microscopic worm that affects the host plants and causes severe losses in the agricultural sector. Accurate and rapid identification of phytoparasitic nematodes is required to determine proper pest control and management. Hence it has …
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
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