Narvekar et al., 2014 - Google Patents
Grape leaf diseases detection & analysis using SGDM matrix methodNarvekar et al., 2014
View PDF- Document ID
- 11787824383720711484
- Author
- Narvekar P
- Kumbhar M
- Patil S
- Publication year
- Publication venue
- International Journal of Innovative Research in Computer and Communication Engineering
External Links
Snippet
Producing Grape is a daunting task as the plant is exposed to the attacks from various micro organisms, bacterial diseases and pests. The symptoms of the attacks are usually distinguished through the leaves, stems or fruit inspection. This proposed system discusses …
- 201000010099 disease 0 title abstract description 45
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
- G06K9/0014—Pre-processing, e.g. image segmentation ; Feature extraction
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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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
- G06K9/4652—Extraction of features or characteristics of the image related to colour
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- G—PHYSICS
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- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
- G06K9/00147—Matching; Classification
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