From data to decision: Implementation of a sow replacement model

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Standard

From data to decision : Implementation of a sow replacement model. / Hindsborg, Jeff; Kristensen, Anders Ringgaard.

I: Computers and Electronics in Agriculture, Bind 165, 104970, 2019.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Hindsborg, J & Kristensen, AR 2019, 'From data to decision: Implementation of a sow replacement model', Computers and Electronics in Agriculture, bind 165, 104970. https://doi.org/10.1016/j.compag.2019.104970

APA

Hindsborg, J., & Kristensen, A. R. (2019). From data to decision: Implementation of a sow replacement model. Computers and Electronics in Agriculture, 165, [104970]. https://doi.org/10.1016/j.compag.2019.104970

Vancouver

Hindsborg J, Kristensen AR. From data to decision: Implementation of a sow replacement model. Computers and Electronics in Agriculture. 2019;165. 104970. https://doi.org/10.1016/j.compag.2019.104970

Author

Hindsborg, Jeff ; Kristensen, Anders Ringgaard. / From data to decision : Implementation of a sow replacement model. I: Computers and Electronics in Agriculture. 2019 ; Bind 165.

Bibtex

@article{d2abf6f9337143b1b10eabaea884d82a,
title = "From data to decision: Implementation of a sow replacement model",
abstract = "An implementation of a sow replacement model is presented. The model estimates the economic value and potential of sows based on litter size history and inseminations of the individual sow as well as herd specific information about production level, farrowing rates and mortality. Herd specific prices and feeding are also considered. The software, called SoLiv, is both a decision support application for culling strategies in pig farms and an evaluation tool for consultants and veterinarians. The application supports the management software AgroSoft and Cloudfarms from which historical data is extracted and analysed using dynamical models, in order to assess herd specific trends. Further, the software can display historical trends, determine the optimal age distribution, and ascertain historical losses by having a non-optimal culling strategy.",
keywords = "Culling strategies, Decision support, Dynamic monitoring, Pig production",
author = "Jeff Hindsborg and Kristensen, {Anders Ringgaard}",
year = "2019",
doi = "10.1016/j.compag.2019.104970",
language = "English",
volume = "165",
journal = "Computers and Electronics in Agriculture",
issn = "0168-1699",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - From data to decision

T2 - Implementation of a sow replacement model

AU - Hindsborg, Jeff

AU - Kristensen, Anders Ringgaard

PY - 2019

Y1 - 2019

N2 - An implementation of a sow replacement model is presented. The model estimates the economic value and potential of sows based on litter size history and inseminations of the individual sow as well as herd specific information about production level, farrowing rates and mortality. Herd specific prices and feeding are also considered. The software, called SoLiv, is both a decision support application for culling strategies in pig farms and an evaluation tool for consultants and veterinarians. The application supports the management software AgroSoft and Cloudfarms from which historical data is extracted and analysed using dynamical models, in order to assess herd specific trends. Further, the software can display historical trends, determine the optimal age distribution, and ascertain historical losses by having a non-optimal culling strategy.

AB - An implementation of a sow replacement model is presented. The model estimates the economic value and potential of sows based on litter size history and inseminations of the individual sow as well as herd specific information about production level, farrowing rates and mortality. Herd specific prices and feeding are also considered. The software, called SoLiv, is both a decision support application for culling strategies in pig farms and an evaluation tool for consultants and veterinarians. The application supports the management software AgroSoft and Cloudfarms from which historical data is extracted and analysed using dynamical models, in order to assess herd specific trends. Further, the software can display historical trends, determine the optimal age distribution, and ascertain historical losses by having a non-optimal culling strategy.

KW - Culling strategies

KW - Decision support

KW - Dynamic monitoring

KW - Pig production

U2 - 10.1016/j.compag.2019.104970

DO - 10.1016/j.compag.2019.104970

M3 - Journal article

AN - SCOPUS:85071247821

VL - 165

JO - Computers and Electronics in Agriculture

JF - Computers and Electronics in Agriculture

SN - 0168-1699

M1 - 104970

ER -

ID: 227329279