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Russel et al., 2022 - Google Patents

Leaf species and disease classification using multiscale parallel deep CNN architecture

Russel et al., 2022

Document ID
3099467787334050336
Author
Russel N
Selvaraj A
Publication year
Publication venue
Neural Computing and Applications

External Links

Snippet

Plant species are often affected by conquering biotic strains and for sustainable yield more emphasis can be on the novel mitigation measures rather than traditional methods. Plant diseases are witnessed by visible effect on the leaf like the detectable change in color …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/6228—Selecting the most significant subset of features
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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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