Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384158104> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W4384158104 abstract "Semantic segmentation based on the deep learning techniques can be used for the non-invasive phenotyping of quinces. In this paper we present a deep neural network for generating pixel wise mask from RGB and Hyperspectral images of the quinces using the U-Net architecture. The generated mask will be very useful for the experts involved in the phenotyping in order to get the dimension of the quinces. Also it can be used in the future for automatic plucking of quinces by the robot. This paper also compares the evaluation metrics of the model trained on both RGB and HSI data. We were able to achieve an accuracy of 93.33% and 70.225% for HSI and RGB data respectively. The developed segmentator is freely available in the GIT repository. The future works will include the model for detecting the ripeness of the quinces from the HSI data and also HSI images will be included in the dataset which will be helpful for the experts who are making research for other fruits." @default.
- W4384158104 created "2023-07-14" @default.
- W4384158104 creator A5004219935 @default.
- W4384158104 creator A5009843829 @default.
- W4384158104 creator A5016619386 @default.
- W4384158104 creator A5038276563 @default.
- W4384158104 creator A5057193861 @default.
- W4384158104 creator A5059386429 @default.
- W4384158104 creator A5075596966 @default.
- W4384158104 creator A5089677989 @default.
- W4384158104 date "2023-06-19" @default.
- W4384158104 modified "2023-09-26" @default.
- W4384158104 title "Semantic Segmentation Using U-Net Deep Learning Network for Quince Phenotyping on RGB and HyperSpectral Images" @default.
- W4384158104 cites W2809512934 @default.
- W4384158104 cites W3022554249 @default.
- W4384158104 cites W3088466712 @default.
- W4384158104 cites W3129635925 @default.
- W4384158104 cites W3148302677 @default.
- W4384158104 doi "https://doi.org/10.1109/ieeeconf58372.2023.10177638" @default.
- W4384158104 hasPublicationYear "2023" @default.
- W4384158104 type Work @default.
- W4384158104 citedByCount "0" @default.
- W4384158104 crossrefType "proceedings-article" @default.
- W4384158104 hasAuthorship W4384158104A5004219935 @default.
- W4384158104 hasAuthorship W4384158104A5009843829 @default.
- W4384158104 hasAuthorship W4384158104A5016619386 @default.
- W4384158104 hasAuthorship W4384158104A5038276563 @default.
- W4384158104 hasAuthorship W4384158104A5057193861 @default.
- W4384158104 hasAuthorship W4384158104A5059386429 @default.
- W4384158104 hasAuthorship W4384158104A5075596966 @default.
- W4384158104 hasAuthorship W4384158104A5089677989 @default.
- W4384158104 hasConcept C108583219 @default.
- W4384158104 hasConcept C124504099 @default.
- W4384158104 hasConcept C153180895 @default.
- W4384158104 hasConcept C154945302 @default.
- W4384158104 hasConcept C159078339 @default.
- W4384158104 hasConcept C31972630 @default.
- W4384158104 hasConcept C41008148 @default.
- W4384158104 hasConcept C50644808 @default.
- W4384158104 hasConcept C82990744 @default.
- W4384158104 hasConcept C89600930 @default.
- W4384158104 hasConceptScore W4384158104C108583219 @default.
- W4384158104 hasConceptScore W4384158104C124504099 @default.
- W4384158104 hasConceptScore W4384158104C153180895 @default.
- W4384158104 hasConceptScore W4384158104C154945302 @default.
- W4384158104 hasConceptScore W4384158104C159078339 @default.
- W4384158104 hasConceptScore W4384158104C31972630 @default.
- W4384158104 hasConceptScore W4384158104C41008148 @default.
- W4384158104 hasConceptScore W4384158104C50644808 @default.
- W4384158104 hasConceptScore W4384158104C82990744 @default.
- W4384158104 hasConceptScore W4384158104C89600930 @default.
- W4384158104 hasLocation W43841581041 @default.
- W4384158104 hasOpenAccess W4384158104 @default.
- W4384158104 hasPrimaryLocation W43841581041 @default.
- W4384158104 hasRelatedWork W1669643531 @default.
- W4384158104 hasRelatedWork W2122581818 @default.
- W4384158104 hasRelatedWork W2134924024 @default.
- W4384158104 hasRelatedWork W2159066190 @default.
- W4384158104 hasRelatedWork W2558375057 @default.
- W4384158104 hasRelatedWork W2739874619 @default.
- W4384158104 hasRelatedWork W2766146978 @default.
- W4384158104 hasRelatedWork W2785932105 @default.
- W4384158104 hasRelatedWork W2948658236 @default.
- W4384158104 hasRelatedWork W3173596272 @default.
- W4384158104 isParatext "false" @default.
- W4384158104 isRetracted "false" @default.
- W4384158104 workType "article" @default.