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Søren Østergaard

Optimal Replacement Policies for Dairy Cows Based on Daily Yield Measurements

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Optimal Replacement Policies for Dairy Cows Based on Daily Yield Measurements. / Jørgensen, Erik; Kristensen, Anders Ringgaard; Østergaard, Søren; Nielsen, Lars Relund.

I: Journal of Dairy Science, Bind 93, Nr. 1, 2010, s. 75-92.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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Author

Jørgensen, Erik ; Kristensen, Anders Ringgaard ; Østergaard, Søren ; Nielsen, Lars Relund. / Optimal Replacement Policies for Dairy Cows Based on Daily Yield Measurements. I: Journal of Dairy Science. 2010 ; Bind 93, Nr. 1. s. 75-92.

Bibtex

@article{7a13e5f0eed611de8a20000ea68e967b,
title = "Optimal Replacement Policies for Dairy Cows Based on Daily Yield Measurements",
abstract = "Markov decision processes (MDP) with finite state and action space have often been used to model sequential decision making over time in dairy herds. However, the length of each stage has been at least 1 mo, resulting in models that do not support decisions on a daily basis. The present paper describes the first step of developing an MDP model that can be integrated into a modern herd management system. A hierarchical MDP was formulated for the dairy cow replacement problem with stage lengths of 1 d. It can be used to assist the farmer in replacement decisions on a daily basis and is based on daily milk yield measurements that are available in modern milking systems. Bayesian updating was used to predict the performance of each cow in the herd and economic decisions were based on the prediction. Moreover, parameters in the model were estimated using data records of the specific herd under consideration. This includes herd-specific lactation curves.",
keywords = "hierarchical Markov decision process, stochastic dynamic programming, state space model, herd management",
author = "Erik J{\o}rgensen and Kristensen, {Anders Ringgaard} and S{\o}ren {\O}stergaard and Nielsen, {Lars Relund}",
note = "Copyright 2010 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.",
year = "2010",
doi = "10.3168/jds.2009-2209",
language = "English",
volume = "93",
pages = "75--92",
journal = "Journal of Dairy Science",
issn = "0022-0302",
publisher = "Elsevier Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Optimal Replacement Policies for Dairy Cows Based on Daily Yield Measurements

AU - Jørgensen, Erik

AU - Kristensen, Anders Ringgaard

AU - Østergaard, Søren

AU - Nielsen, Lars Relund

N1 - Copyright 2010 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

PY - 2010

Y1 - 2010

N2 - Markov decision processes (MDP) with finite state and action space have often been used to model sequential decision making over time in dairy herds. However, the length of each stage has been at least 1 mo, resulting in models that do not support decisions on a daily basis. The present paper describes the first step of developing an MDP model that can be integrated into a modern herd management system. A hierarchical MDP was formulated for the dairy cow replacement problem with stage lengths of 1 d. It can be used to assist the farmer in replacement decisions on a daily basis and is based on daily milk yield measurements that are available in modern milking systems. Bayesian updating was used to predict the performance of each cow in the herd and economic decisions were based on the prediction. Moreover, parameters in the model were estimated using data records of the specific herd under consideration. This includes herd-specific lactation curves.

AB - Markov decision processes (MDP) with finite state and action space have often been used to model sequential decision making over time in dairy herds. However, the length of each stage has been at least 1 mo, resulting in models that do not support decisions on a daily basis. The present paper describes the first step of developing an MDP model that can be integrated into a modern herd management system. A hierarchical MDP was formulated for the dairy cow replacement problem with stage lengths of 1 d. It can be used to assist the farmer in replacement decisions on a daily basis and is based on daily milk yield measurements that are available in modern milking systems. Bayesian updating was used to predict the performance of each cow in the herd and economic decisions were based on the prediction. Moreover, parameters in the model were estimated using data records of the specific herd under consideration. This includes herd-specific lactation curves.

KW - hierarchical Markov decision process

KW - stochastic dynamic programming

KW - state space model

KW - herd management

U2 - 10.3168/jds.2009-2209

DO - 10.3168/jds.2009-2209

M3 - Journal article

C2 - 20059907

VL - 93

SP - 75

EP - 92

JO - Journal of Dairy Science

JF - Journal of Dairy Science

SN - 0022-0302

IS - 1

ER -