Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lorenzo Serva"'
Autor:
Claudia Manfrè, Monica Battini, Alberto Simonetto, Barbara Contiero, Lorenzo Serva, Silvana Mattiello, Stavros Ntalampiras, Simona Normando, Marta Brscic
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
Animal behavior can provide useful information about animal welfare, but methods and tools used to gather behavioral data and data treatment can influence the results. Therefore, this study was carried out on dairy cow (Bos taurus) behavior and inter
Externí odkaz:
https://doaj.org/article/909deb80067e47cd9fa3284bd95e900b
Autor:
Paolo Balasso, Cristian Taccioli, Lorenzo Serva, Luisa Magrin, Igino Andrighetto, Giorgio Marchesini
Publikováno v:
Animals, Vol 13, Iss 11, p 1886 (2023)
The accurate detection of behavioural changes represents a promising method of detecting the early onset of disease in dairy cows. This study assessed the performance of deep learning (DL) in classifying dairy cows’ behaviour from accelerometry dat
Externí odkaz:
https://doaj.org/article/dd896541c717450bb61a525f8de47c67
Publikováno v:
Animals, Vol 11, Iss 10, p 2972 (2021)
The aim of the present study was to develop a model to identify posture and behavior from data collected by a triaxial accelerometer located on the left flank of dairy cows and evaluate its accuracy and precision. Twelve Italian Red-and-White lactati
Externí odkaz:
https://doaj.org/article/b35fe1fadb2644b9809e8b2b171df4e4
Autor:
Marchesini, Paolo Balasso, Cristian Taccioli, Lorenzo Serva, Luisa Magrin, Igino Andrighetto, Giorgio
Publikováno v:
Animals; Volume 13; Issue 11; Pages: 1886
The accurate detection of behavioural changes represents a promising method of detecting the early onset of disease in dairy cows. This study assessed the performance of deep learning (DL) in classifying dairy cows’ behaviour from accelerometry dat
Publikováno v:
Animals : an Open Access Journal from MDPI
Animals, Vol 11, Iss 2972, p 2972 (2021)
Animals
Volume 11
Issue 10
Animals, Vol 11, Iss 2972, p 2972 (2021)
Animals
Volume 11
Issue 10
Simple Summary This study analyzed the possibility of automatically detecting dairy cow behavior by combining the use of a single triaxial accelerometer applied to the animal’s left flank with a machine learning technique. This combination enabled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59470dc605837f8f9b2cc337eb6c253a
http://hdl.handle.net/11577/3416356
http://hdl.handle.net/11577/3416356