Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Mathieu Bonneau"'
Autor:
Océane Girardie, Denis Laloë, Mathieu Bonneau, Yvon Billon, Jean Bailly, Ingrid David, Laurianne Canario
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Large White and Meishan sows differ in maternal ability and early piglet growth. We investigated the relationships between 100 maternal traits, grouped into 11 blocks according to the biological function they describe and litter growth over
Externí odkaz:
https://doaj.org/article/9f3014c53cb84b3eadd68638e631eb46
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Animal behavior is a critical aspect for a better understanding and management of animal health and welfare. The combination of cameras with artificial intelligence holds significant potential, particularly as it eliminates the need to handl
Externí odkaz:
https://doaj.org/article/4ec8fff9d0dd44369f6ab6a896ec7fb9
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract We introduce a new dataset for goat detection that contains 6160 annotated images captured under varying environmental conditions. The dataset is intended for developing machine learning algorithms for goat detection, with applications in pr
Externí odkaz:
https://doaj.org/article/8786283b579a45ec89b9d1899df2ce6d
Autor:
Hervé HOSTE, Nadine RAVINET, Christophe CHARTIER, Carine MARIE-MAGDELEINE, Jean-Christophe BAMBOU, Mathieu BONNEAU, Nathalie MANDONNET, Philippe JACQUIET, Marc DESQUESNES
Publikováno v:
INRAE Productions Animales (2023)
Les parasites (Helminthes, Protozoaires, Acariens, Insectes) restent responsables de pathologie majeures impactant l’élevage des ruminants. Pendant des décennies, la maitrise de ces divers groupes de parasites a reposé pour l’essentiel sur des
Externí odkaz:
https://doaj.org/article/15bd8b38f2e0430f8dc4c5981b4a3fb3
Publikováno v:
Frontiers in Veterinary Science, Vol 9 (2023)
An activity pattern describes variations in activities over time. The objectives of this study are to automatically predict sow activity from computer vision over 11 days peripartum and estimate how sow behavior influences piglet's performance during
Externí odkaz:
https://doaj.org/article/eb07e2616c554068baf3219ad8aa0c49
Publikováno v:
Frontiers in Animal Science, Vol 3 (2022)
The recent advances in sensor technologies and data analysis could improve our capacity to acquire long-term and individual dataset on animal behavior. In livestock management, this is particularly interesting when behavioral data could be linked to
Externí odkaz:
https://doaj.org/article/88ce4a066b024c378d93138372bd7aa1
Autor:
Mathieu Bonneau, Nausicaa Poullet, David Beramice, Laurent Dantec, Laurianne Canario, Jean-Luc Gourdine
Publikováno v:
Frontiers in Animal Science, Vol 2 (2021)
Behavior is a good indicator of animal welfare, especially in challenging environments. However, few studies have investigated how pig behavior changes during heat stress. The current study is a proof-of-concept using Convolutional Neural Network (CN
Externí odkaz:
https://doaj.org/article/6931ed51a31d46ff82a81d0c2ae66bfb
Autor:
Alexandre Dore, Cristian Pasquaretta, Dominique Henry, Edmond Ricard, Jean-François Bompa, Mathieu Bonneau, Alain Boissy, Dominique Hazard, Mathieu Lihoreau, Hervé Aubert
Publikováno v:
Sensors, Vol 21, Iss 23, p 8140 (2021)
The automated quantification of the behaviour of freely moving animals is increasingly needed in applied ethology. State-of-the-art approaches often require tags to identify animals, high computational power for data collection and processing, and ar
Externí odkaz:
https://doaj.org/article/326f25f0a9e9424f9d53f055887a52ab
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0193093 (2018)
Conversion of wild habitats to human dominated landscape is a major cause of biodiversity loss. An approach to mitigate the impact of habitat loss consists of designating reserves where habitat is preserved and managed. Determining the most valuable
Externí odkaz:
https://doaj.org/article/cfc4cdbbd13744e0b7055f584e7ae224
Publikováno v:
Biosystems Engineering
Biosystems Engineering, Elsevier, 2021, 212, pp.19-29. ⟨10.1016/j.biosystemseng.2021.09.014⟩
Biosystems Engineering, Elsevier, 2021, 212, pp.19-29. ⟨10.1016/j.biosystemseng.2021.09.014⟩
International audience; The use of CNN and segmentation to extract image features for the prediction of four postures for sows kept in crates was examined. The extracted features were used as input variables in an SVM classification method to estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8dfb4e4dc5b77ef333c888143673bb8
https://doi.org/10.1016/j.biosystemseng.2021.09.014
https://doi.org/10.1016/j.biosystemseng.2021.09.014