Modeling and Simulation for Decision Support in Precision Livestock Farming

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Abstract

Precision Livestock Farming (PLF) is a system that allows real-time monitoring of animals, which comes with many benefits and ensures maximum use of farm resources, thus controlling the health status of animals. Decision support systems in livestock sector help farmers to take actions in support of animal health and better product yield. Due to the complexity of decision making processes, modeling and simulation tools are being extensively used to support farmers and decision makers in livestock industries. Modeling and simulation approaches minimize the risk of making wrong decisions and helps to assess the impact of different strategies before applying them in reality. In this paper, we highlight the role of modeling and simulation in enhancing decision-making processes in precision livestock farming, and provide a comprehensive overview and categorization with respect to the relevant goals and simulation paradigms. We, further, discuss the associated optimization approaches and data collection challenges.

OriginalsprogEngelsk
TitelProceedings of the 2020 Winter Simulation Conference, WSC 2020
RedaktørerK.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, R. Thiesing
ForlagIEEE
Publikationsdato14. dec. 2020
Sider2601-2612
ISBN (Elektronisk)9781728194998
DOI
StatusUdgivet - 14. dec. 2020
Begivenhed2020 Winter Simulation Conference, WSC 2020 - Orlando, USA
Varighed: 14. dec. 202018. dec. 2020

Konference

Konference2020 Winter Simulation Conference, WSC 2020
Land/OmrådeUSA
ByOrlando
Periode14/12/202018/12/2020
NavnProceedings - Winter Simulation Conference
Vol/bind2020-December
ISSN0891-7736

Bibliografisk note

Funding Information:
We would like to express our gratitude to the FarmSustainaBl project, which is administered through the European Union’s Seventh Framework Programme for research, technological development and demonstrationundergrantagreementno618123[ICT-AGRI2].Theprojecthasreceivedfundingfromthe General Secretariat for Research and Technology (Greece), the Ministry of Environment and Food (Denmark), the Danish Agricultural Agency (Denmark), and the Executive Agency for Higher Education, Research, Development and Innovation Funding (Romania). This work has been also partially supported by the Operational Programme Human Capital of the Ministry of European Funds through the Financial Agreement51675/09.07.2019,SMIScode125125.

Publisher Copyright:
© 2020 IEEE.

Finansiering

We would like to express our gratitude to the FarmSustainaBl project, which is administered through the European Union’s Seventh Framework Programme for research, technological development and demonstrationundergrantagreementno618123[ICT-AGRI2].Theprojecthasreceivedfundingfromthe General Secretariat for Research and Technology (Greece), the Ministry of Environment and Food (Denmark), the Danish Agricultural Agency (Denmark), and the Executive Agency for Higher Education, Research, Development and Innovation Funding (Romania). This work has been also partially supported by the Operational Programme Human Capital of the Ministry of European Funds through the Financial Agreement51675/09.07.2019,SMIScode125125.

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