FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2049119397> ?p ?o ?g. }

• W2049119397 endingPage "236" @default.
• W2049119397 startingPage "227" @default.
• W2049119397 abstract "The aim of this study was to explore wavelet filtering for early detection of mastitis and lameness. Data were recorded at the Karkendamm dairy research farm between January 2009 and October 2010. In total, data of 237 cows with 46,427 cow days were analysed. Mastitis was specified according to three definitions: (1) udder treatment, (2) udder treatment and/or somatic cell count with more than 100,000 cells/ml and (3) udder treatment and/or somatic cell count exceeding 400,000 cells/ml. Lameness treatments were used to determine two definitions of lameness. They differed in the length of the corresponding disease block: (1) day of treatment including three days before treatment, (2) day of treatment including five days before treatment. Milk electrical conductivity and cow activity were utilised as indicator parameters for detection of mastitis and lameness, respectively. These values were filtered by wavelets. Filtered values of cow activity and the residuals between the observed and filtered values of milk electrical conductivity were applied to a classic and a self-starting CUSUM chart to identify blocks of disease (days of disease). Regarding performance of mastitis detection, the classic chart showed better results than the self-starting chart. The block sensitivity ranged between 72.6% and 76.3% (self-starting chart between 72.1% and 74.5%) while the obtained error rates were between 69.2% and 94.4% (self-starting chart between 73.4% and 95.7%). For both charts, block sensitivity and error rate improved from definition (1) to (3). In the case of lameness detection, the block sensitivity of the classic chart varied between 40.4% and 48.3%, which was lower than the block sensitivities of the self-starting chart (47.2% and 63.5%). The error rates of lameness detection were also high (90.6% to 93.3%). In conclusion, wavelet analysis seems to be applicable to mastitis and lameness detection in dairy cows. Results could probably be enhanced if more traits for a multivariate consideration are used." @default.
• W2049119397 created "2016-06-24" @default.
• W2049119397 creator A5016406747 @default.
• W2049119397 creator A5028035138 @default.
• W2049119397 creator A5091388563 @default.
• W2049119397 date "2012-10-01" @default.
• W2049119397 modified "2023-10-03" @default.
• W2049119397 title "Detection of mastitis and lameness in dairy cows using wavelet analysis" @default.
• W2049119397 cites W1597815444 @default.
• W2049119397 cites W1964272330 @default.
• W2049119397 cites W1964451878 @default.
• W2049119397 cites W1966665425 @default.
• W2049119397 cites W1974972880 @default.
• W2049119397 cites W1981188489 @default.
• W2049119397 cites W1987167399 @default.
• W2049119397 cites W1987287703 @default.
• W2049119397 cites W1989979548 @default.
• W2049119397 cites W1994613193 @default.
• W2049119397 cites W1996021349 @default.
• W2049119397 cites W2001100372 @default.
• W2049119397 cites W2017282078 @default.
• W2049119397 cites W2027755342 @default.
• W2049119397 cites W2051617857 @default.
• W2049119397 cites W2054048365 @default.
• W2049119397 cites W2054163076 @default.
• W2049119397 cites W2062189902 @default.
• W2049119397 cites W2067526404 @default.
• W2049119397 cites W2069994642 @default.
• W2049119397 cites W2073928120 @default.
• W2049119397 cites W2093579861 @default.
• W2049119397 cites W2094013156 @default.
• W2049119397 cites W2096116170 @default.
• W2049119397 cites W2104587498 @default.
• W2049119397 cites W2111793995 @default.
• W2049119397 cites W2137174365 @default.
• W2049119397 cites W2140348099 @default.
• W2049119397 cites W2144903153 @default.
• W2049119397 cites W2152144742 @default.
• W2049119397 cites W2156875887 @default.
• W2049119397 cites W2157426231 @default.
• W2049119397 cites W2163639802 @default.
• W2049119397 doi "https://doi.org/10.1016/j.livsci.2012.06.010" @default.
• W2049119397 hasPublicationYear "2012" @default.
• W2049119397 type Work @default.
• W2049119397 sameAs 2049119397 @default.
• W2049119397 citedByCount "37" @default.
• W2049119397 countsByYear W20491193972013 @default.
• W2049119397 countsByYear W20491193972014 @default.
• W2049119397 countsByYear W20491193972015 @default.
• W2049119397 countsByYear W20491193972016 @default.
• W2049119397 countsByYear W20491193972017 @default.
• W2049119397 countsByYear W20491193972018 @default.
• W2049119397 countsByYear W20491193972019 @default.
• W2049119397 countsByYear W20491193972020 @default.
• W2049119397 countsByYear W20491193972021 @default.
• W2049119397 countsByYear W20491193972022 @default.
• W2049119397 countsByYear W20491193972023 @default.
• W2049119397 crossrefType "journal-article" @default.
• W2049119397 hasAuthorship W2049119397A5016406747 @default.
• W2049119397 hasAuthorship W2049119397A5028035138 @default.
• W2049119397 hasAuthorship W2049119397A5091388563 @default.
• W2049119397 hasConcept C140793950 @default.
• W2049119397 hasConcept C141071460 @default.
• W2049119397 hasConcept C142724271 @default.
• W2049119397 hasConcept C22641795 @default.
• W2049119397 hasConcept C2776344049 @default.
• W2049119397 hasConcept C2776659692 @default.
• W2049119397 hasConcept C2776792119 @default.
• W2049119397 hasConcept C2776921810 @default.
• W2049119397 hasConcept C2776977481 @default.
• W2049119397 hasConcept C2779234561 @default.
• W2049119397 hasConcept C2779771469 @default.
• W2049119397 hasConcept C33923547 @default.
• W2049119397 hasConcept C42972112 @default.
• W2049119397 hasConcept C54355233 @default.
• W2049119397 hasConcept C71924100 @default.
• W2049119397 hasConcept C86803240 @default.
• W2049119397 hasConceptScore W2049119397C140793950 @default.
• W2049119397 hasConceptScore W2049119397C141071460 @default.
• W2049119397 hasConceptScore W2049119397C142724271 @default.
• W2049119397 hasConceptScore W2049119397C22641795 @default.
• W2049119397 hasConceptScore W2049119397C2776344049 @default.
• W2049119397 hasConceptScore W2049119397C2776659692 @default.
• W2049119397 hasConceptScore W2049119397C2776792119 @default.
• W2049119397 hasConceptScore W2049119397C2776921810 @default.
• W2049119397 hasConceptScore W2049119397C2776977481 @default.
• W2049119397 hasConceptScore W2049119397C2779234561 @default.
• W2049119397 hasConceptScore W2049119397C2779771469 @default.
• W2049119397 hasConceptScore W2049119397C33923547 @default.
• W2049119397 hasConceptScore W2049119397C42972112 @default.
• W2049119397 hasConceptScore W2049119397C54355233 @default.
• W2049119397 hasConceptScore W2049119397C71924100 @default.
• W2049119397 hasConceptScore W2049119397C86803240 @default.
• W2049119397 hasIssue "3" @default.
• W2049119397 hasLocation W20491193971 @default.
• W2049119397 hasOpenAccess W2049119397 @default.
• W2049119397 hasPrimaryLocation W20491193971 @default.
• W2049119397 hasRelatedWork W2133337612 @default.

• next