Shah et al., 2022 - Google Patents
A cascaded design of best features selection for fruit diseases recognitionShah et al., 2022
View PDF- Document ID
- 8488968656031030239
- Author
- Shah F
- Khan M
- Sharif M
- Tariq U
- Khan A
- Kadry S
- Thinnukool O
- Publication year
- Publication venue
- Comput. Mater. Contin
External Links
Snippet
Fruit diseases seriously affect the production of the agricultural sector, which builds financial pressure on the country's economy. The manual inspection of fruit diseases is a chaotic process that is both time and cost-consuming since it involves an accurate manual …
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/6228—Selecting the most significant subset of features
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