Matches in SemOpenAlex for { <https://semopenalex.org/work/W2294367776> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2294367776 endingPage "345" @default.
- W2294367776 startingPage "338" @default.
- W2294367776 abstract "Spatial and temporal changes in surface temperature of infected and non-infected rose plant (Rosa hybrida cv. ‘Angelina’) leaves were visualized using digital infrared thermography. Infected areas exhibited a presymptomatic decrease in leaf temperature up to 2.3 °C. In this study, two experiments were conducted: one in the greenhouse (semi-controlled ambient conditions) and the other, in a growth chamber (controlled ambient conditions). Effect of drought stress and darkness on the thermal images were also studied in this research. It was found that thermal histograms of the infected leaves closely follow a standard normal distribution. They have a skewness near zero, kurtosis under 3, standard deviation larger than 0.6, and a Maximum Temperature Difference (MTD) more than 4. For each thermal histogram, central tendency, variability, and parameters of the best fitted Standard Normal and Laplace distributions were estimated. To classify healthy and infected leaves, feature selection was conducted and the best extracted thermal features with the largest linguistic hedge values were chosen. Among those features independent of absolute temperature measurement, MTD, SD, skewness, R2l, kurtosis and bn were selected. Then, a neuro-fuzzy classifier was trained to recognize the healthy leaves from the infected ones. The k-means clustering method was utilized to obtain the initial parameters and the fuzzy “if-then” rules. Best estimation rates of 92.55% and 92.3% were achieved in training and testing the classifier with 8 clusters. Results showed that drought stress had an adverse effect on the classification of healthy leaves. More healthy leaves under drought stress condition were classified as infected causing PPV and Specificity index values to decrease, accordingly. Image acquisition in the dark had no significant effect on the classification performance." @default.
- W2294367776 created "2016-06-24" @default.
- W2294367776 creator A5005307079 @default.
- W2294367776 creator A5054588656 @default.
- W2294367776 creator A5076719851 @default.
- W2294367776 creator A5079948185 @default.
- W2294367776 date "2016-05-01" @default.
- W2294367776 modified "2023-10-18" @default.
- W2294367776 title "Early detection and classification of powdery mildew-infected rose leaves using ANFIS based on extracted features of thermal images" @default.
- W2294367776 cites W1898091954 @default.
- W2294367776 cites W1969664199 @default.
- W2294367776 cites W1971812186 @default.
- W2294367776 cites W1992937654 @default.
- W2294367776 cites W2003724897 @default.
- W2294367776 cites W2007550651 @default.
- W2294367776 cites W2007739294 @default.
- W2294367776 cites W2011325105 @default.
- W2294367776 cites W2014859876 @default.
- W2294367776 cites W2037305710 @default.
- W2294367776 cites W2045699106 @default.
- W2294367776 cites W2068377282 @default.
- W2294367776 cites W2081544115 @default.
- W2294367776 cites W2082453394 @default.
- W2294367776 cites W2118643504 @default.
- W2294367776 cites W2121493036 @default.
- W2294367776 cites W2171011474 @default.
- W2294367776 cites W2171530279 @default.
- W2294367776 doi "https://doi.org/10.1016/j.infrared.2016.03.003" @default.
- W2294367776 hasPublicationYear "2016" @default.
- W2294367776 type Work @default.
- W2294367776 sameAs 2294367776 @default.
- W2294367776 citedByCount "6" @default.
- W2294367776 countsByYear W22943677762017 @default.
- W2294367776 countsByYear W22943677762019 @default.
- W2294367776 countsByYear W22943677762021 @default.
- W2294367776 countsByYear W22943677762022 @default.
- W2294367776 crossrefType "journal-article" @default.
- W2294367776 hasAuthorship W2294367776A5005307079 @default.
- W2294367776 hasAuthorship W2294367776A5054588656 @default.
- W2294367776 hasAuthorship W2294367776A5076719851 @default.
- W2294367776 hasAuthorship W2294367776A5079948185 @default.
- W2294367776 hasConcept C105795698 @default.
- W2294367776 hasConcept C115961682 @default.
- W2294367776 hasConcept C120665830 @default.
- W2294367776 hasConcept C121332964 @default.
- W2294367776 hasConcept C122342681 @default.
- W2294367776 hasConcept C144027150 @default.
- W2294367776 hasConcept C154945302 @default.
- W2294367776 hasConcept C158355884 @default.
- W2294367776 hasConcept C166963901 @default.
- W2294367776 hasConcept C22679943 @default.
- W2294367776 hasConcept C2779222261 @default.
- W2294367776 hasConcept C33923547 @default.
- W2294367776 hasConcept C41008148 @default.
- W2294367776 hasConcept C53533937 @default.
- W2294367776 hasConcept C86803240 @default.
- W2294367776 hasConceptScore W2294367776C105795698 @default.
- W2294367776 hasConceptScore W2294367776C115961682 @default.
- W2294367776 hasConceptScore W2294367776C120665830 @default.
- W2294367776 hasConceptScore W2294367776C121332964 @default.
- W2294367776 hasConceptScore W2294367776C122342681 @default.
- W2294367776 hasConceptScore W2294367776C144027150 @default.
- W2294367776 hasConceptScore W2294367776C154945302 @default.
- W2294367776 hasConceptScore W2294367776C158355884 @default.
- W2294367776 hasConceptScore W2294367776C166963901 @default.
- W2294367776 hasConceptScore W2294367776C22679943 @default.
- W2294367776 hasConceptScore W2294367776C2779222261 @default.
- W2294367776 hasConceptScore W2294367776C33923547 @default.
- W2294367776 hasConceptScore W2294367776C41008148 @default.
- W2294367776 hasConceptScore W2294367776C53533937 @default.
- W2294367776 hasConceptScore W2294367776C86803240 @default.
- W2294367776 hasLocation W22943677761 @default.
- W2294367776 hasOpenAccess W2294367776 @default.
- W2294367776 hasPrimaryLocation W22943677761 @default.
- W2294367776 hasRelatedWork W107293534 @default.
- W2294367776 hasRelatedWork W1496883226 @default.
- W2294367776 hasRelatedWork W2019937518 @default.
- W2294367776 hasRelatedWork W2099651523 @default.
- W2294367776 hasRelatedWork W240819278 @default.
- W2294367776 hasRelatedWork W2460187158 @default.
- W2294367776 hasRelatedWork W2613759284 @default.
- W2294367776 hasRelatedWork W2617284716 @default.
- W2294367776 hasRelatedWork W2913090294 @default.
- W2294367776 hasRelatedWork W85590864 @default.
- W2294367776 hasVolume "76" @default.
- W2294367776 isParatext "false" @default.
- W2294367776 isRetracted "false" @default.
- W2294367776 magId "2294367776" @default.
- W2294367776 workType "article" @default.