Matches in SemOpenAlex for { <https://semopenalex.org/work/W3105071723> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W3105071723 endingPage "385" @default.
- W3105071723 startingPage "380" @default.
- W3105071723 abstract "Soybean is a crop with a long cultivation history that occupies an important position in agricultural production. Soybean mosaic virus disease (SMV) has caused a rapid decline in soybean yields, causing huge losses to the soybean industry, wherefrom its early detection is particularly important. This study proposes a new classification method for the early SMV, dividing its severity into grades 0, 1 and 2. In the case of a small number of experimental samples of soybeans, this study proposes a combined convolutional neural network and support vector machine (CNN-SVM) method for the early detection of SMV. Experimental results showed that the accuracy of the training set of the CNN-SVM model reached 96.67%, and the accuracy rate of the test set reached 94.17%. The experiment proved the feasibility of using the proposed CNN-SVM model to classify early SMV under the new classification method, and provided a new direction for early SMV detection based on hyperspectral images." @default.
- W3105071723 created "2020-11-23" @default.
- W3105071723 creator A5006231860 @default.
- W3105071723 creator A5032833147 @default.
- W3105071723 creator A5057251232 @default.
- W3105071723 creator A5077040963 @default.
- W3105071723 creator A5080948922 @default.
- W3105071723 date "2021-09-01" @default.
- W3105071723 modified "2023-10-16" @default.
- W3105071723 title "Grading method of soybean mosaic disease based on hyperspectral imaging technology" @default.
- W3105071723 cites W2016963009 @default.
- W3105071723 cites W2094373529 @default.
- W3105071723 cites W2094675949 @default.
- W3105071723 cites W2109606373 @default.
- W3105071723 cites W2385046402 @default.
- W3105071723 cites W2500751094 @default.
- W3105071723 cites W2519653196 @default.
- W3105071723 cites W2596320876 @default.
- W3105071723 cites W2743284109 @default.
- W3105071723 cites W2779838041 @default.
- W3105071723 cites W2782030813 @default.
- W3105071723 cites W2793753132 @default.
- W3105071723 cites W2801148730 @default.
- W3105071723 cites W2809918877 @default.
- W3105071723 cites W2999709373 @default.
- W3105071723 cites W3024277995 @default.
- W3105071723 cites W3104795559 @default.
- W3105071723 doi "https://doi.org/10.1016/j.inpa.2020.10.006" @default.
- W3105071723 hasPublicationYear "2021" @default.
- W3105071723 type Work @default.
- W3105071723 sameAs 3105071723 @default.
- W3105071723 citedByCount "13" @default.
- W3105071723 countsByYear W31050717232021 @default.
- W3105071723 countsByYear W31050717232022 @default.
- W3105071723 countsByYear W31050717232023 @default.
- W3105071723 crossrefType "journal-article" @default.
- W3105071723 hasAuthorship W3105071723A5006231860 @default.
- W3105071723 hasAuthorship W3105071723A5032833147 @default.
- W3105071723 hasAuthorship W3105071723A5057251232 @default.
- W3105071723 hasAuthorship W3105071723A5077040963 @default.
- W3105071723 hasAuthorship W3105071723A5080948922 @default.
- W3105071723 hasBestOaLocation W31050717231 @default.
- W3105071723 hasConcept C109110057 @default.
- W3105071723 hasConcept C119857082 @default.
- W3105071723 hasConcept C12267149 @default.
- W3105071723 hasConcept C153180895 @default.
- W3105071723 hasConcept C154945302 @default.
- W3105071723 hasConcept C159047783 @default.
- W3105071723 hasConcept C159078339 @default.
- W3105071723 hasConcept C169903167 @default.
- W3105071723 hasConcept C2522874641 @default.
- W3105071723 hasConcept C2776625791 @default.
- W3105071723 hasConcept C2777410846 @default.
- W3105071723 hasConcept C41008148 @default.
- W3105071723 hasConcept C81363708 @default.
- W3105071723 hasConcept C86803240 @default.
- W3105071723 hasConceptScore W3105071723C109110057 @default.
- W3105071723 hasConceptScore W3105071723C119857082 @default.
- W3105071723 hasConceptScore W3105071723C12267149 @default.
- W3105071723 hasConceptScore W3105071723C153180895 @default.
- W3105071723 hasConceptScore W3105071723C154945302 @default.
- W3105071723 hasConceptScore W3105071723C159047783 @default.
- W3105071723 hasConceptScore W3105071723C159078339 @default.
- W3105071723 hasConceptScore W3105071723C169903167 @default.
- W3105071723 hasConceptScore W3105071723C2522874641 @default.
- W3105071723 hasConceptScore W3105071723C2776625791 @default.
- W3105071723 hasConceptScore W3105071723C2777410846 @default.
- W3105071723 hasConceptScore W3105071723C41008148 @default.
- W3105071723 hasConceptScore W3105071723C81363708 @default.
- W3105071723 hasConceptScore W3105071723C86803240 @default.
- W3105071723 hasFunder F4320321001 @default.
- W3105071723 hasIssue "3" @default.
- W3105071723 hasLocation W31050717231 @default.
- W3105071723 hasLocation W31050717232 @default.
- W3105071723 hasOpenAccess W3105071723 @default.
- W3105071723 hasPrimaryLocation W31050717231 @default.
- W3105071723 hasRelatedWork W2051197289 @default.
- W3105071723 hasRelatedWork W2337926734 @default.
- W3105071723 hasRelatedWork W2380707792 @default.
- W3105071723 hasRelatedWork W2783789044 @default.
- W3105071723 hasRelatedWork W2995914718 @default.
- W3105071723 hasRelatedWork W2996933976 @default.
- W3105071723 hasRelatedWork W3193301557 @default.
- W3105071723 hasRelatedWork W3208266890 @default.
- W3105071723 hasRelatedWork W3211035526 @default.
- W3105071723 hasRelatedWork W4285503465 @default.
- W3105071723 hasVolume "8" @default.
- W3105071723 isParatext "false" @default.
- W3105071723 isRetracted "false" @default.
- W3105071723 magId "3105071723" @default.
- W3105071723 workType "article" @default.