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Monitoring monthly mortality of maricultured Atlantic salmon (Salmo salar L.) in Scotland II. A hierarchical dynamic linear model

Frontiers in Marine Science, 2024-10, Vol.11

2024

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Monitoring monthly mortality of maricultured Atlantic salmon (Salmo salar L.) in Scotland I. Dynamic linear models at production cycle level

Frontiers in Marine Science, 2024-09, Vol.11

2024

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Abortion studies in Iranian dairy herds: I. Risk factors for abortion

Livestock science, 2017-01, Vol.195, p.45-52

2017

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Dynamic production monitoring in pig herds III. Modeling and monitoring mortality rate at herd level

Livestock science, 2014-10, Vol.168, p.128-138

2014

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Dynamic production monitoring in pig herds II. Modeling and monitoring farrowing rate at herd level

Livestock science, 2013-07, Vol.155 (1), p.92-102

2013

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Sows’ activity classification device using acceleration data – A resource constrained approach

Computers and electronics in agriculture, 2011-06, Vol.77 (1), p.110-117

2011

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From data to decision – Implementation of a sow replacement model

Computers and electronics in agriculture, 2019-10, Vol.165, p.104970, Article 104970

2019

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From biological models to economic optimization

Preventive veterinary medicine, 2015-02, Vol.118 (2-3), p.226-237

Kristensen, Anders Ringgaard

2015

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A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs

European journal of operational research, 2016-05, Vol.250 (3), p.925-938

2016

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Use of information from monitoring and decision support systems in pig production: Collection, applications and expected benefits

Livestock science, 2013-11, Vol.157 (2-3), p.552-567

2013

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Comparison of management strategies for confinement of sows around farrowing in Sow Welfare And Piglet protection pens

Livestock science, 2022-09, Vol.263, p.105026, Article 105026

2022

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Assessment of the value of information of precision livestock farming: A conceptual framework

NJAS - Wageningen journal of life sciences, 2019-12, Vol.90-91 (1), p.1-9, Article 100311

2019

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A multivariate dynamic linear model for early warnings of diarrhea and pen fouling in slaughter pigs

Computers and electronics in agriculture, 2017-04, Vol.135, p.51-62

2017

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Monitoring individual activity before, during and after parturition using sensors for sows with and without straw amendment

Livestock science, 2014-10, Vol.168, p.139-148

2014

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Temperature as a predictor of fouling and diarrhea in slaughter pigs

Livestock science, 2016-01, Vol.183, p.1-3

2016

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Multivariate dynamic linear models for estimating the effect of experimental interventions in an evolutionary operations setup in dairy herds

Journal of dairy science, 2017-07, Vol.100 (7), p.5758-5773

2017

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Abortion and other risk factors for mastitis in Iranian dairy herds

Livestock science, 2019-01, Vol.219, p.40-44

2019

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Effects of abortion and other risk factors on conception rate in Iranian dairy herds

Livestock science, 2017-12, Vol.206, p.51-58

2017

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Dynamic production monitoring in pig herds I: Modeling and monitoring litter size at herd and sow level

Livestock science, 2012-11, Vol.149 (3), p.289-300

2012

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Modelling the economic impact of three lameness causing diseases using herd and cow level evidence

Preventive veterinary medicine, 2010-06, Vol.95 (1-2), p.64-73

2010

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Optimal slaughter pig marketing with emphasis on information from on-line live weight assessment

Livestock science, 2012-05, Vol.145 (1-3), p.95-108

2012

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Modelling and monitoring sows’ activity types in farrowing house using acceleration data

Computers and electronics in agriculture, 2011-05, Vol.76 (2), p.316-324

2011

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Automatic detection of oestrus and health disorders using data from electronic sow feeders

Livestock science, 2008, Vol.118 (3), p.262-271

2008

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Erratum to: “Dynamic production monitoring in pig herds II. Modeling and monitoring farrowing rate at herd level” [Livest. Sci. 155/1 (2013) 92–102]

Livestock science, 2014-10, Vol.168, p.183-186

2014

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Sow-activity classification from acceleration patterns: A machine learning approach

Computers and electronics in agriculture, 2013-04, Vol.93, p.17-26

2013

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Monitoring monthly mortality of maricultured Atlantic salmon (Salmo salar L.) in Scotland II. A hierarchical dynamic linear model

Monitoring monthly mortality of maricultured Atlantic salmon (Salmo salar L.) in Scotland I. Dynamic linear models at production cycle level

Abortion studies in Iranian dairy herds: I. Risk factors for abortion

Dynamic production monitoring in pig herds III. Modeling and monitoring mortality rate at herd level

Dynamic production monitoring in pig herds II. Modeling and monitoring farrowing rate at herd level

Sows’ activity classification device using acceleration data – A resource constrained approach

From data to decision – Implementation of a sow replacement model

From biological models to economic optimization

A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs

Use of information from monitoring and decision support systems in pig production: Collection, applications and expected benefits

Comparison of management strategies for confinement of sows around farrowing in Sow Welfare And Piglet protection pens

Assessment of the value of information of precision livestock farming: A conceptual framework

A multivariate dynamic linear model for early warnings of diarrhea and pen fouling in slaughter pigs

Monitoring individual activity before, during and after parturition using sensors for sows with and without straw amendment

Temperature as a predictor of fouling and diarrhea in slaughter pigs

Multivariate dynamic linear models for estimating the effect of experimental interventions in an evolutionary operations setup in dairy herds

Abortion and other risk factors for mastitis in Iranian dairy herds

Effects of abortion and other risk factors on conception rate in Iranian dairy herds

Dynamic production monitoring in pig herds I: Modeling and monitoring litter size at herd and sow level

Modelling the economic impact of three lameness causing diseases using herd and cow level evidence

Optimal slaughter pig marketing with emphasis on information from on-line live weight assessment

Modelling and monitoring sows’ activity types in farrowing house using acceleration data

Automatic detection of oestrus and health disorders using data from electronic sow feeders

Erratum to: “Dynamic production monitoring in pig herds II. Modeling and monitoring farrowing rate at herd level” [Livest. Sci. 155/1 (2013) 92–102]

Sow-activity classification from acceleration patterns: A machine learning approach

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