FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3020578323> ?p ?o ?g. }

• W3020578323 endingPage "105439" @default.
• W3020578323 startingPage "105439" @default.
• W3020578323 abstract "It is of great significance to accurately estimate the fish mass in their different growth stages for achieving reasonable feeding, promoting healthy growth and improving breeding efficiency. In current fish mass estimation methods, the distance between the image acquisition device and the target fish is generally needed to be fixed, which limits the practicability of these methods in actual aquaculture. Aiming at the above problem, through image analysis, a fish mass estimation method based on principal component analysis - calibration factor (PCA-CF) and neural network was proposed. Firstly, image segmentation, image enhancement, and other preprocessing operations were carried out on these collected fish images. Secondly, fish image features were extracted using the PCA method and feature values were calculated by the CF method. Finally, the fish mass was estimated by the back-propagation neural network (BPNN) algorithm. In this paper, the proposed method CF was used to calculate the fish images feature values, which solved the problem that the distance between the acquisition device and the target fish is inconsistent, affecting the fish mass estimation accuracy. Crucian carp was taken as the experimental object and the proposed fish mass estimation method has been tested on the real dataset with the mean absolute error (MAE) of 0.0104, the root mean square error (RMSE) of 0.0137 and the coefficient of determination (R2) of 0.9021. Furthermore, when compared with the BPNN-Weight, Support Vector Regression (SVR)-Weight, Linear Discriminant Analysis (LDA)-CF-BPNN, PCA-CF-Decision Tree (DT), PCA-CF- k-Nearest Neighbor (KNN), Length-Weight, Area-Weight, and Multiple-factor-Weight fish mass estimation methods, the performance of each evaluation metric of the proposed method was improved. The experimental results indicated that the proposed method can accurately estimate the fish mass." @default.
• W3020578323 created "2020-05-01" @default.
• W3020578323 creator A5023372230 @default.
• W3020578323 creator A5032072748 @default.
• W3020578323 creator A5044757881 @default.
• W3020578323 date "2020-06-01" @default.
• W3020578323 modified "2023-10-16" @default.
• W3020578323 title "Estimation for fish mass using image analysis and neural network" @default.
• W3020578323 cites W1869003302 @default.
• W3020578323 cites W1970360626 @default.
• W3020578323 cites W1987552279 @default.
• W3020578323 cites W1997119261 @default.
• W3020578323 cites W2018716012 @default.
• W3020578323 cites W2023737915 @default.
• W3020578323 cites W2026130217 @default.
• W3020578323 cites W2027282853 @default.
• W3020578323 cites W2056621476 @default.
• W3020578323 cites W2063422727 @default.
• W3020578323 cites W2080609440 @default.
• W3020578323 cites W2088072322 @default.
• W3020578323 cites W2089468765 @default.
• W3020578323 cites W2095628549 @default.
• W3020578323 cites W2117580587 @default.
• W3020578323 cites W2124351162 @default.
• W3020578323 cites W2130675919 @default.
• W3020578323 cites W2131251535 @default.
• W3020578323 cites W2133059825 @default.
• W3020578323 cites W2141834896 @default.
• W3020578323 cites W2166645321 @default.
• W3020578323 cites W2528149772 @default.
• W3020578323 cites W2528261749 @default.
• W3020578323 cites W2531851789 @default.
• W3020578323 cites W2578353911 @default.
• W3020578323 cites W2736256544 @default.
• W3020578323 cites W2741682658 @default.
• W3020578323 cites W2797538836 @default.
• W3020578323 cites W2798259146 @default.
• W3020578323 cites W2806315586 @default.
• W3020578323 cites W2887183736 @default.
• W3020578323 cites W2966784605 @default.
• W3020578323 doi "https://doi.org/10.1016/j.compag.2020.105439" @default.
• W3020578323 hasPublicationYear "2020" @default.
• W3020578323 type Work @default.
• W3020578323 sameAs 3020578323 @default.
• W3020578323 citedByCount "38" @default.
• W3020578323 countsByYear W30205783232021 @default.
• W3020578323 countsByYear W30205783232022 @default.
• W3020578323 countsByYear W30205783232023 @default.
• W3020578323 crossrefType "journal-article" @default.
• W3020578323 hasAuthorship W3020578323A5023372230 @default.
• W3020578323 hasAuthorship W3020578323A5032072748 @default.
• W3020578323 hasAuthorship W3020578323A5044757881 @default.
• W3020578323 hasConcept C105795698 @default.
• W3020578323 hasConcept C138885662 @default.
• W3020578323 hasConcept C139945424 @default.
• W3020578323 hasConcept C153180895 @default.
• W3020578323 hasConcept C154945302 @default.
• W3020578323 hasConcept C27438332 @default.
• W3020578323 hasConcept C2776401178 @default.
• W3020578323 hasConcept C33923547 @default.
• W3020578323 hasConcept C41008148 @default.
• W3020578323 hasConcept C41895202 @default.
• W3020578323 hasConcept C50644808 @default.
• W3020578323 hasConcept C69738355 @default.
• W3020578323 hasConceptScore W3020578323C105795698 @default.
• W3020578323 hasConceptScore W3020578323C138885662 @default.
• W3020578323 hasConceptScore W3020578323C139945424 @default.
• W3020578323 hasConceptScore W3020578323C153180895 @default.
• W3020578323 hasConceptScore W3020578323C154945302 @default.
• W3020578323 hasConceptScore W3020578323C27438332 @default.
• W3020578323 hasConceptScore W3020578323C2776401178 @default.
• W3020578323 hasConceptScore W3020578323C33923547 @default.
• W3020578323 hasConceptScore W3020578323C41008148 @default.
• W3020578323 hasConceptScore W3020578323C41895202 @default.
• W3020578323 hasConceptScore W3020578323C50644808 @default.
• W3020578323 hasConceptScore W3020578323C69738355 @default.
• W3020578323 hasFunder F4320335843 @default.
• W3020578323 hasLocation W30205783231 @default.
• W3020578323 hasOpenAccess W3020578323 @default.
• W3020578323 hasPrimaryLocation W30205783231 @default.
• W3020578323 hasRelatedWork W1993173579 @default.
• W3020578323 hasRelatedWork W2052589448 @default.
• W3020578323 hasRelatedWork W2066119650 @default.
• W3020578323 hasRelatedWork W2312955079 @default.
• W3020578323 hasRelatedWork W2350996391 @default.
• W3020578323 hasRelatedWork W2391447249 @default.
• W3020578323 hasRelatedWork W2765337000 @default.
• W3020578323 hasRelatedWork W4224057882 @default.
• W3020578323 hasRelatedWork W42780011 @default.
• W3020578323 hasRelatedWork W3104072235 @default.
• W3020578323 hasVolume "173" @default.
• W3020578323 isParatext "false" @default.
• W3020578323 isRetracted "false" @default.
• W3020578323 magId "3020578323" @default.
• W3020578323 workType "article" @default.