Matches in SemOpenAlex for { <https://semopenalex.org/work/W3213040694> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W3213040694 abstract "Sri Lankan farmers face several issues and among them crop loss due to insect pest infestation is the major hurdle. Several approaches have been proposed to detect the pest class by using computer vision and machine learning techniques. These approaches gain the classification knowledge by using a large number of pest image samples, despite it being time consuming. In this paper, we propose an approach to detect the vegetable plant pests in Sri Lanka. To our best knowledge, no previous studies were conducted to detect pest classes in Sri Lankan vegetables. We have used the deep transfer learning technique to train the classification model with fewer number of samples as they are able to transfer the learned knowledge from one domain to another. Raw images of ten vegetable pest classes were collected and then a database was constructed. The VGG16 and InceptionV3 Convolutional Neural Network (CNN) pre-trained models were used to transfer the classification knowledge and they showed the accuracy of 97.5% and 99.8 %, respectively." @default.
- W3213040694 created "2021-11-22" @default.
- W3213040694 creator A5004514876 @default.
- W3213040694 creator A5074351425 @default.
- W3213040694 creator A5078321216 @default.
- W3213040694 creator A5088197363 @default.
- W3213040694 date "2021-08-11" @default.
- W3213040694 modified "2023-09-23" @default.
- W3213040694 title "Classification of Vegetable Plant Pests using Deep Transfer Learning" @default.
- W3213040694 cites W1955003279 @default.
- W3213040694 cites W2068064330 @default.
- W3213040694 cites W2097117768 @default.
- W3213040694 cites W2117539524 @default.
- W3213040694 cites W2161969291 @default.
- W3213040694 cites W2183341477 @default.
- W3213040694 cites W2316602945 @default.
- W3213040694 cites W2398330969 @default.
- W3213040694 cites W2593776451 @default.
- W3213040694 cites W2750506686 @default.
- W3213040694 cites W2889024854 @default.
- W3213040694 cites W2904529134 @default.
- W3213040694 cites W2922275516 @default.
- W3213040694 cites W2938719104 @default.
- W3213040694 cites W2946016983 @default.
- W3213040694 cites W2966160658 @default.
- W3213040694 cites W2994801906 @default.
- W3213040694 cites W3006183307 @default.
- W3213040694 cites W3128141573 @default.
- W3213040694 cites W3130071898 @default.
- W3213040694 doi "https://doi.org/10.1109/iciafs52090.2021.9606176" @default.
- W3213040694 hasPublicationYear "2021" @default.
- W3213040694 type Work @default.
- W3213040694 sameAs 3213040694 @default.
- W3213040694 citedByCount "3" @default.
- W3213040694 countsByYear W32130406942023 @default.
- W3213040694 crossrefType "proceedings-article" @default.
- W3213040694 hasAuthorship W3213040694A5004514876 @default.
- W3213040694 hasAuthorship W3213040694A5074351425 @default.
- W3213040694 hasAuthorship W3213040694A5078321216 @default.
- W3213040694 hasAuthorship W3213040694A5088197363 @default.
- W3213040694 hasConcept C108583219 @default.
- W3213040694 hasConcept C115961682 @default.
- W3213040694 hasConcept C119857082 @default.
- W3213040694 hasConcept C127413603 @default.
- W3213040694 hasConcept C144027150 @default.
- W3213040694 hasConcept C150899416 @default.
- W3213040694 hasConcept C153180895 @default.
- W3213040694 hasConcept C154945302 @default.
- W3213040694 hasConcept C205649164 @default.
- W3213040694 hasConcept C22508944 @default.
- W3213040694 hasConcept C2779357621 @default.
- W3213040694 hasConcept C3017649214 @default.
- W3213040694 hasConcept C41008148 @default.
- W3213040694 hasConcept C75294576 @default.
- W3213040694 hasConcept C81363708 @default.
- W3213040694 hasConcept C86803240 @default.
- W3213040694 hasConcept C88463610 @default.
- W3213040694 hasConcept C91375879 @default.
- W3213040694 hasConceptScore W3213040694C108583219 @default.
- W3213040694 hasConceptScore W3213040694C115961682 @default.
- W3213040694 hasConceptScore W3213040694C119857082 @default.
- W3213040694 hasConceptScore W3213040694C127413603 @default.
- W3213040694 hasConceptScore W3213040694C144027150 @default.
- W3213040694 hasConceptScore W3213040694C150899416 @default.
- W3213040694 hasConceptScore W3213040694C153180895 @default.
- W3213040694 hasConceptScore W3213040694C154945302 @default.
- W3213040694 hasConceptScore W3213040694C205649164 @default.
- W3213040694 hasConceptScore W3213040694C22508944 @default.
- W3213040694 hasConceptScore W3213040694C2779357621 @default.
- W3213040694 hasConceptScore W3213040694C3017649214 @default.
- W3213040694 hasConceptScore W3213040694C41008148 @default.
- W3213040694 hasConceptScore W3213040694C75294576 @default.
- W3213040694 hasConceptScore W3213040694C81363708 @default.
- W3213040694 hasConceptScore W3213040694C86803240 @default.
- W3213040694 hasConceptScore W3213040694C88463610 @default.
- W3213040694 hasConceptScore W3213040694C91375879 @default.
- W3213040694 hasLocation W32130406941 @default.
- W3213040694 hasOpenAccess W3213040694 @default.
- W3213040694 hasPrimaryLocation W32130406941 @default.
- W3213040694 hasRelatedWork W2738221750 @default.
- W3213040694 hasRelatedWork W2807839383 @default.
- W3213040694 hasRelatedWork W2963958939 @default.
- W3213040694 hasRelatedWork W2997709384 @default.
- W3213040694 hasRelatedWork W3012393889 @default.
- W3213040694 hasRelatedWork W3118457286 @default.
- W3213040694 hasRelatedWork W3189091156 @default.
- W3213040694 hasRelatedWork W4220996320 @default.
- W3213040694 hasRelatedWork W4285149559 @default.
- W3213040694 hasRelatedWork W4366224123 @default.
- W3213040694 isParatext "false" @default.
- W3213040694 isRetracted "false" @default.
- W3213040694 magId "3213040694" @default.
- W3213040694 workType "article" @default.