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Abstract

Among the background of developments in automation and intelligence, machine learning technology has been extensively applied in aquaculture in recent years, providing a new opportunity for the realization of digital fishery farming. In the present paper, the machine learning algorithms and...

Author(s)
Zhao ShiLi; Zhang Song; Liu JinCun; Wang He; Zhu Jia; Li DaoLiang; Zhao Ran
Publisher
Elsevier Ltd, Oxford, UK
Citation
Aquaculture, 2021, 540,
Abstract

Lameness is a common welfare issue in dairy farms and can negatively influence productivity and farm profitability. On-farm measurements are time consuming and continuous monitoring of lameness can be thus challenging. A predictive model that is suitable for routine field applications can be thus...

Author(s)
Warner, D.; Vasseur, E.; Lefebvre, D. M.; Lacroix, R.
Publisher
Elsevier, Amsterdam, Netherlands
Citation
Computers and Electronics in Agriculture, 2020, 169, pp 105193
Abstract

Genomic selection (GS) using the whole-genome molecular makers to predict genomic estimated breeding values (GEBVs) is revolutionizing the livestock and plant breeding. Seeking out novel strategies with higher prediction accuracy for GS has been the ultimate goal of breeders. With the rapid...

Author(s)
Liang Mang; Miao Jian; Wang XiaoQiao; Chang TianPeng; An BingXing; Duan XingHai; Xu LingYang; Gao Xue; Zhang LuPei; Li JunYa; Gao HuiJiang
Publisher
Wiley, Berlin, Germany
Citation
Journal of Animal Breeding and Genetics, 2021, 138, 3, pp 291-299
Abstract

Artificial intelligence (AI) already represents a factor for increasing efficiency and productivity in many sectors, and there is a need for expanding its implementation in animal science. There is a growing demand for the development and use of smart devices at the farm level, which would generate ...

Author(s)
Milosevic, B.; Ciric, S.; Lalic, N.; Milanovic, V.; Savic, Z.; Omerovic, I.; Doskovic, V.; Djordjevic, S.; Andjusic, L.
Publisher
Cambridge University Press, Cambridge, UK
Citation
World's Poultry Science Journal, 2019, 75, 3, pp 401-410
Abstract

The aim of this study was to assess combining location, acceleration and machine learning technologies to detect estrus in dairy cows. Data were obtained from 12 cows, which were monitored continuously for 12 days. A neck mounted device collected 25,684 records for location and acceleration. Four ...

Author(s)
Wang Jun; Bell Matt; Liu XiaoHang; Liu Gang
Publisher
MDPI AG, Basel, Switzerland
Citation
Animals, 2020, 10, 7,
Abstract

Prevention of the emergence and spread of foodborne diseases is an important prerequisite for the improvement of public health. Source attribution models link sporadic human cases of a specific illness to food sources and animal reservoirs. With the next generation sequencing technology, it is...

Author(s)
Munck, N.; Njage, P. M. K.; Leekitcharoenphon, P.; Litrup, E.; Hald, T.
Publisher
Wiley, Boston, USA
Citation
Risk Analysis, 2020, 40, 9, pp 1693-1705
Abstract

In recent years, several researchers and practitioners applied machine learning algorithms in the dairy farm context and discussed several solutions to predict various variables of interest, most of which were related to incipient diseases. The objective of this article is to identify, assess, and...

Author(s)
Slob, N.; Catal, C.; Kassahun, A.
Publisher
Elsevier B.V., Amsterdam, Netherlands
Citation
Preventive Veterinary Medicine, 2021, 187,
AbstractFull Text

Machine learning is a sub field of artificial intelligence which allows forecasting through learning past behaviors and rules from old data. In today's world, machine learning is being used almost in any fields such as education, medicine, veterinary, banking, telecommunication, security, and...

Author(s)
Cİhan, P.; Gökçe, E.; Kalıpsız, O.
Publisher
Kafkas Üniversitesi, Veteriner Fakültesi Dergisi, Kars, Turkey
Citation
Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 2017, 23, 4, pp 673-680
Abstract

Claw lesions are a serious problem on dairy farms, affecting both the health and welfare of the cow. Automated detection of lameness with a practical, on-farm application would support the early detection and treatment of lame cows, potentially reducing the number and severity of claw lesions....

Author(s)
Volkmann, N.; Kulig, B.; Hoppe, S.; Stracke, J.; Hensel, O.; Kemper, N.
Publisher
Elsevier Inc., Philadelphia, USA
Citation
Journal of Dairy Science, 2021, 104, 5, pp 5921-5931
Abstract

Numerous influential animal breeds and plant varieties provide high-quality and nutritious foods for human. The popularity and high profit of premium foods usually accompany with adulterated products, which harmed rights of both consumers and law-abiding producers. So, it is necessary to build an...

Author(s)
Xu ZhiTing; Diao ShuQi; Teng JinYan; Chen ZiTao; Feng XueYan; Cai XiaoTian; Yuan XiaoLong; Zhang Hao; Li JiaQi; Zhang Zhe
Publisher
Elsevier Ltd, Oxford, UK
Citation
Food Control, 2021, 125,

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