FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3164331326> ?p ?o ?g. }

• W3164331326 endingPage "110252" @default.
• W3164331326 startingPage "110252" @default.
• W3164331326 abstract "Olive in its various ripening stages is an important agricultural product, especially for its oil. Early detection of ripening stages of on-branch olives provides an insight into suitable site-specific managements. To fulfill these requirements, a model has been developed in the current study. This model is based on RGB images and deep Convolutional Neural Networks (CNN). Two Iranian olive cultivars (Zard and Roghani) in four ripening stages (immature, green maturity, black maturity, and fully mature) were considered (total eight classes). No structured imaging system was considered to ensure a natural condition of the experiment and generality of the method. The proposed model was selected based upon testing several popular or developed CNNs, and according to the criterion such as accuracy, prediction time, and computational burden. Multiple layers of Convolution, Max-Pooling, and Batch Normalization, followed by a Global Average Pooling layer (GAP), were contained in the proposed model. For this network, six different optimizers, i.e., Adagrad, SGD, SGDM, RMSProp, Adam, and Nadam, were evaluated, among which Nadam showed the best efficiency. According to the results, the overall accuracy of the proposed model was 91.91 %, and it performed the processing of a single frame in only 12.64 ms on CPU. It reflects the real-time potential and the robustness of the model to classify on-branch olives based on their ripening stages. If an orchard consists of just Zard cultivar or both the Zard and Roghani cultivars, the unripe Zard cultivar, among all eight classes, will be recognized with 100 % accuracy. However, if the Roghani cultivar is only considered, the over-ripening stage will be recognized with the highest accuracy. The results of this study showed that the proposed model could be effectively embedded in a system to treat olive trees based on the conditions of a particular branch in precision horticulture." @default.
• W3164331326 created "2021-06-07" @default.
• W3164331326 creator A5022849888 @default.
• W3164331326 creator A5036488271 @default.
• W3164331326 creator A5051211446 @default.
• W3164331326 date "2021-09-01" @default.
• W3164331326 modified "2023-10-04" @default.
• W3164331326 title "Real-time recognition of on-branch olive ripening stages by a deep convolutional neural network" @default.
• W3164331326 cites W1977819160 @default.
• W3164331326 cites W1981164212 @default.
• W3164331326 cites W1986669248 @default.
• W3164331326 cites W1994630924 @default.
• W3164331326 cites W2002742594 @default.
• W3164331326 cites W2008186366 @default.
• W3164331326 cites W2021237147 @default.
• W3164331326 cites W2056960292 @default.
• W3164331326 cites W2072031517 @default.
• W3164331326 cites W2099339366 @default.
• W3164331326 cites W2107628966 @default.
• W3164331326 cites W2108931803 @default.
• W3164331326 cites W2155083608 @default.
• W3164331326 cites W2255840091 @default.
• W3164331326 cites W2590335313 @default.
• W3164331326 cites W2738666506 @default.
• W3164331326 cites W2790979755 @default.
• W3164331326 cites W2890245523 @default.
• W3164331326 cites W2898512534 @default.
• W3164331326 cites W2913720723 @default.
• W3164331326 cites W2924094660 @default.
• W3164331326 cites W2936307272 @default.
• W3164331326 cites W2940447366 @default.
• W3164331326 cites W2943973298 @default.
• W3164331326 cites W2954789679 @default.
• W3164331326 cites W2980931795 @default.
• W3164331326 cites W2996480162 @default.
• W3164331326 cites W3017390625 @default.
• W3164331326 cites W3017396338 @default.
• W3164331326 cites W3020238878 @default.
• W3164331326 cites W3028960437 @default.
• W3164331326 cites W3038459602 @default.
• W3164331326 cites W3129465611 @default.
• W3164331326 doi "https://doi.org/10.1016/j.scienta.2021.110252" @default.
• W3164331326 hasPublicationYear "2021" @default.
• W3164331326 type Work @default.
• W3164331326 sameAs 3164331326 @default.
• W3164331326 citedByCount "17" @default.
• W3164331326 countsByYear W31643313262021 @default.
• W3164331326 countsByYear W31643313262022 @default.
• W3164331326 countsByYear W31643313262023 @default.
• W3164331326 crossrefType "journal-article" @default.
• W3164331326 hasAuthorship W3164331326A5022849888 @default.
• W3164331326 hasAuthorship W3164331326A5036488271 @default.
• W3164331326 hasAuthorship W3164331326A5051211446 @default.
• W3164331326 hasConcept C108583219 @default.
• W3164331326 hasConcept C144027150 @default.
• W3164331326 hasConcept C153180895 @default.
• W3164331326 hasConcept C154945302 @default.
• W3164331326 hasConcept C172353545 @default.
• W3164331326 hasConcept C197321923 @default.
• W3164331326 hasConcept C2992859235 @default.
• W3164331326 hasConcept C41008148 @default.
• W3164331326 hasConcept C70437156 @default.
• W3164331326 hasConcept C81363708 @default.
• W3164331326 hasConcept C86803240 @default.
• W3164331326 hasConceptScore W3164331326C108583219 @default.
• W3164331326 hasConceptScore W3164331326C144027150 @default.
• W3164331326 hasConceptScore W3164331326C153180895 @default.
• W3164331326 hasConceptScore W3164331326C154945302 @default.
• W3164331326 hasConceptScore W3164331326C172353545 @default.
• W3164331326 hasConceptScore W3164331326C197321923 @default.
• W3164331326 hasConceptScore W3164331326C2992859235 @default.
• W3164331326 hasConceptScore W3164331326C41008148 @default.
• W3164331326 hasConceptScore W3164331326C70437156 @default.
• W3164331326 hasConceptScore W3164331326C81363708 @default.
• W3164331326 hasConceptScore W3164331326C86803240 @default.
• W3164331326 hasLocation W31643313261 @default.
• W3164331326 hasOpenAccess W3164331326 @default.
• W3164331326 hasPrimaryLocation W31643313261 @default.
• W3164331326 hasRelatedWork W2517027266 @default.
• W3164331326 hasRelatedWork W2738221750 @default.
• W3164331326 hasRelatedWork W2758063741 @default.
• W3164331326 hasRelatedWork W2914959431 @default.
• W3164331326 hasRelatedWork W2940661641 @default.
• W3164331326 hasRelatedWork W3093238181 @default.
• W3164331326 hasRelatedWork W3156786002 @default.
• W3164331326 hasRelatedWork W4308191152 @default.
• W3164331326 hasRelatedWork W4321369474 @default.
• W3164331326 hasRelatedWork W564581980 @default.
• W3164331326 hasVolume "287" @default.
• W3164331326 isParatext "false" @default.
• W3164331326 isRetracted "false" @default.
• W3164331326 magId "3164331326" @default.
• W3164331326 workType "article" @default.