Zobrazeno 1 - 10
of 2 106
pro vyhledávání: '"Precision Livestock Farming"'
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 12, Pp 11550-11562 (2024)
ABSTRACT: The deployment of diverse data-generating technologies in livestock farming holds the promise of early disease detection and improved animal well-being. In this paper, we combine routinely collected dairy farm and herd data with weather and
Externí odkaz:
https://doaj.org/article/2413d00f1eed49399d60fcf24645ea80
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 12, Pp 11087-11103 (2024)
ABSTRACT: Dairy cow fertility is a complex trait that depends on the cow's physiological status, the farm's environmental and management conditions, and their interactions. Already the slightest improvement in fertility can positively impact a farm's
Externí odkaz:
https://doaj.org/article/ef4dd7b08a344fc4ad24e7328c118c33
Autor:
Maura Sannino, Francesco Serrapica, Salvatore Faugno, Felicia Masucci, Grazia Scalera, Giuseppe De Rosa, Costanza Fiorentino, Antonio Di Francia
Publikováno v:
Italian Journal of Animal Science, Vol 23, Iss 1, Pp 1318-1324 (2024)
An on-farm observational study evaluated the use of individual automatic milk feeders (AMF) to wean 53 buffalo calves. Analysis of data retrieved from the AMF system over a 4-month period revealed positive indicators for animal adaptation, including
Externí odkaz:
https://doaj.org/article/ca34e61d3df14a7bbfe2905369b45d7d
Autor:
Diana Giannuzzi, Chiara Evangelista, Angela Costa, Giuseppe Conte, Gianluca Neglia, Umberto Bernabucci, Stefano Schiavon, Marcello Mele, Alessio Cecchinato
Publikováno v:
Italian Journal of Animal Science, Vol 23, Iss 1, Pp 780-801 (2024)
Over recent decades, there was a substantial evolution in the productive management of dairy animals worldwide with a consequent boost in individual milk yield. This evolution positioned the milk production as the central metabolic priority around wh
Externí odkaz:
https://doaj.org/article/3955ca1d292f4f969105b64a785e1a33
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 9, Pp 6888-6901 (2024)
ABSTRACT: Milk yield dynamics and production performance reflect how dairy cows cope with their environment. To optimize farm management, time series of individual cow milk yield have been studied in the context of precision livestock farming, and ma
Externí odkaz:
https://doaj.org/article/8ad1cbb70861476785fd2b0e875c688d
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 2749-2767 (2024)
Identifying bird numbers in hostile environments, such as poultry facilities, presents significant challenges. The complexity of these environments demands robust and adaptive algorithmic approaches for the accurate detection and tracking of birds ov
Externí odkaz:
https://doaj.org/article/a3877940c2da44d18c598e19a46887e1
Autor:
João Porto, Gabriel Higa, Vanessa Weber, Fabrício Weber, Newton Loebens, Pietro Claure, Leonardo de Almeida, Karla Porto, Hemerson Pistori
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 2941-2954 (2024)
This study explores the use of a Siamese neural network architecture to enhance classification performance in few-shot learning scenarios, with a focus on bovine facial recognition. Traditional methodologies often require large datasets, which can si
Externí odkaz:
https://doaj.org/article/fc5b313355314e5c94090257b3cc37a9
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 2115-2129 (2024)
This research proposes a low-cost system consisting of a hardware setup and a deep learning-based model to estimate broiler chickens’ feed intake, utilizing audio signals captured by piezoelectric sensors. The signals were recorded 24/7 for 19 cons
Externí odkaz:
https://doaj.org/article/f8d89f743d184918826f8aa2243c6118
Autor:
Verônica Madeira Pacheco, Tami M. Brown-Brandl, Rafael Vieira de Sousa, Gary A. Rohrer, Sudhendu Raj Sharma, Luciane Silva Martello
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100563- (2024)
Assessing sow posture is essential for understanding their physiological condition and helping farmers improve herd productivity. Deep learning-based techniques have proven effective for image interpretation, offering a better alternative to traditio
Externí odkaz:
https://doaj.org/article/d5560431dbb441d3b6d4fcacaef62405
Autor:
Philipp Heseker, Tjard Bergmann, Marc-Alexander Lieboldt, Imke Traulsen, Nicole Kemper, Jeanette Probst, Marina Scheumann
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100582- (2024)
Tail biting is a major problem in pig husbandry and early intervention is essential to maintain animal health and welfare. To facilitate early identification of tail biters a detector software was created that can detect scream-linked biting events t
Externí odkaz:
https://doaj.org/article/f50ddab3d020434dade317ce86a5fa94