Dan Børge Jensen

Research output

Research output per year 2014 2015 2016 2019 2019

• 11 Journal article
• 3 Conference abstract in proceedings
• 3 Conference abstract for conference
• 2 Paper
• 6 More
  • 2 Poster
  • 1 Ph.D. thesis
  • 1 Article in proceedings
  • 1 Report chapter
  • 1 Conference abstract in journal

Research output per year

Research output per year

Search results

• 2019

  Comparison of time-series models for monitoring temporal trends in endemic diseases sero-prevalence: Lessons from porcine reproductive and respiratory syndrome in Danish swine herds

  Lopes Antunes, A. C. & Jensen, D., 2019, In: BMC Veterinary Research. 15, 1, 8 p., 231.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Porcine Reproductive and Respiratory Syndrome 100%
  • porcine reproductive and respiratory syndrome 91%
  • endemic diseases 85%
  • Endemic Diseases 81%
  • time series analysis 70%
  2 Citations (Scopus)

  13 Downloads (Pure)

• Estimating time evolving cross-dependence of porcine reproduction and respiratory syndrome sero-prevalence in Danish swine herds

  Lopes Antunes, A. C. & Jensen, D., 2019, In: Preventive Veterinary Medicine. 167, p. 85-89 5 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Porcine Reproductive and Respiratory Syndrome 100%
  • porcine reproductive and respiratory syndrome 66%
  • seroprevalence 66%
  • Reproduction 60%
  • herds 51%
  1 Citation (Scopus)

• Evaluation of reticuloruminal pH measurements from individual cattle: Sampling strategies for the assessment of herd status

  Jonsson, N. N., Kleen, J. L., Wallace, R. J., Andonovic, I., Michie, C., Farish, M., Mitchell, M., Duthie, C. A., Jensen, D. B. & Denwood, M. J., 2019, In: Veterinary Journal. 243, p. 26-32 7 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • herds 100%
  • Cattle 97%
  • cattle 73%
  • Rumen 51%
  • ruminal acidosis 43%
  9 Citations (Scopus)

  47 Downloads (Pure)

• Prediction of tail biting events in finisher pigs from automatically recorded sensor data

  Larsen, M. L. V., Pedersen, L. J. & Jensen, D. B., 2019, In: Animals. 9, 7, 458.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • tail biting 100%
  • Tail 61%
  • Swine 50%
  • prediction 43%
  • swine 40%
  7 Citations (Scopus)

  12 Downloads (Pure)

• Unweaving tangled mortality and antibiotic consumption data to detect disease outbreaks – Peaks, growths, and foresight in swine production

  Antunes, A. C. L., Jensen, V. F. & Jensen, D., 1 Oct 2019, In: PLoS ONE. 14, 10, 19 p., e0223250.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Antibiotics 100%
  • foresight 92%
  • swine production 81%
  • Mortality 76%
  • antibiotics 67%
  1 Citation (Scopus)

  14 Downloads (Pure)
• 2018

  Describing temporal variation in reticuloruminal pH using continuous monitoring data

  Denwood, M. J., Kleen, J. L., Jensen, D. B. & Jonsson, N. N., 2018, In: Journal of Dairy Science. 101, 1, p. 233-245 13 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • temporal variation 100%
  • monitoring 59%
  • statistical models 29%
  • Statistical Models 28%
  • Animals 25%
  11 Citations (Scopus)
• 2017

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

  Jensen, D. B., Toft, N. & Kristensen, A. R., 1 Apr 2017, In: Computers and Electronics in Agriculture. 135, p. 51-62 10 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • dynamic models 100%
  • fouling 97%
  • Fouling 95%
  • linear models 86%
  • pig 85%
  15 Citations (Scopus)

• A simulation study to evaluate the performance of five statistical monitoring methods when applied to different time-series components in the context of control programs for endemic diseases

  Lopes Antunes, A. C., Jensen, D. B., Halasa, T. & Toft, N., Mar 2017, In: PLoS ONE. 12, 3, 0173099.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • control components 100%
  • endemic diseases 94%
  • Endemic Diseases 89%
  • time series analysis 77%
  • Monitoring 69%
  5 Citations (Scopus)

  52 Downloads (Pure)

• Combining a multivariate dynamic linear model with artificial neural networks for detecting diarrhea in slaughter pigs

  Jensen, D. B., Kristensen, A. R. & Pedersen, L. J., Feb 2017.

  Research output: Contribution to conference › Conference abstract for conference › Research
• 2016

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

  Jensen, D. B., 3 Feb 2016, Up to date with pig: Book of presentations of the 3^rd CPH Pig seminar.

  Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Communication

  51 Downloads (Pure)

• Automatic learning and pattern recognition using sensor data in livestock farming

  Jensen, D. B., 1 Jul 2016, Centre for Herd-oriented Education, Research and Development, Department of Large Animal Sciences, University of Copenhagen. 159 p.

  Research output: Book/Report › Ph.D. thesis

  88 Downloads (Pure)

• Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis

  Jensen, D. B., Hogeveen, H. & De Vries, A., 1 Sept 2016, In: Journal of Dairy Science. 99, 9, p. 7344-7361 18 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Mastitis 100%
  • dynamic models 90%
  • mastitis 78%
  • linear models 77%
  • sensors (equipment) 72%
  26 Citations (Scopus)

  88 Downloads (Pure)

• Combining a multivariate dynamic linear model and a naive Bayesian classifier for mastitis detection

  Jensen, D. B. & De Vries, A., 2016. 1 p.

  Research output: Contribution to conference › Poster › Research › peer-review

  4 Downloads (Pure)

• Comparison of strategies for combining dynamic linear models with artificial neural networks for detecting diarrhea in slaughter pigs

  Jensen, D. B. & Kristensen, A. R., Oct 2016, In: Journal of Animal Science. 94, Supplement 5, p. 84-84 1 p., 0173.

  Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  14 Citations (Scopus)

• Dynamic generalized linear models for monitoring endemic diseases: moving beyond univariate process monitoring control algorithms

  Lopes Antunes, A. C., Jensen, D. B., Halasa, T. & Toft, N., Mar 2016. 11 p.

  Research output: Contribution to conference › Paper › Research › peer-review

  • process monitoring 100%
  • endemic diseases 95%
  • dynamic models 81%
  • linear models 70%
  • seroprevalence 59%
  2 Downloads (Pure)

• Early warning of diarrhea and pen fouling in growing pigs using sensor-based monitoring

  Jensen, D. B., Toft, N. & Kristensen, A. R., Jun 2016. 1 p.

  Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  • fouling 100%
  • diarrhea 84%
  • swine 56%
  • monitoring 55%
  • drinking 47%

• Temperature as a predictor of fouling and diarrhea in slaughter pigs

  Jensen, D. B. & Kristensen, A. R., 1 Jan 2016, In: Livestock Science. 183, p. 1-3 3 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • fouling 100%
  • diarrhea 84%
  • slaughter 78%
  • Diarrhea 72%
  • Swine 69%
  11 Citations (Scopus)
• 2015

  A multi-dimensional dynamic linear model for monitoring growing pigs

  Jensen, D. B., 2015, Up to date with pig research: book of presentations of the 2nd CPH Pig seminar. Faculty of Health and Medical Sciences, University of Copenhagen, p. 55-58 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research

• A multi-dimensional dynamic linear model for monitoring slaughter pig production

  Jensen, D. B., Cornou, C., Toft, N. & Kristensen, A. R., 2015.

  Research output: Contribution to conference › Paper › Research › peer-review

  • pig 100%
  • monitoring 17%
  • water consumption 17%
  • project 8%
  4 Citations (Scopus)

  10 Downloads (Pure)

• Bayesian prediction of mastitis using sensor data routinely collected in dairy herds

  Jensen, D. B. & Devries, A., Aug 2015, Book of Abstracts of the 66th Annual Meeting of the European Federation of Animal Science. p. 297 1 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

• Temperature as a predictor of fouling and diarrhea in Slaughter pigs

  Jensen, D. B., Toft, N. & Kristensen, A. R., 2015, Book of abstracts of the 66th Annual Meeting of the European Association for Animal Production: Warsaw, Poland, 31 August - 4 September 2015. Wageningen Academic Publishers, p. 303 1 p. Poster 14

  Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

  • fouling 100%
  • diarrhea 84%
  • slaughter 78%
  • swine 56%
  • temperature 35%
  74 Downloads (Pure)

• The intelligent pig barn

  Kristensen, A. R. & Jensen, D. B., 29 Apr 2015, Improving Pig Welfare - what are the ways forward?: International conference on pig welfare. p. 34-37 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

  491 Downloads (Pure)
• 2014

  Dynamic monitoring of weight data at the pen vs at the individual level

  Jensen, D. B., Toft, N., Kristensen, A. R. & Cornou, C., Aug 2014. 1 p.

  Research output: Contribution to conference › Conference abstract for conference › Research

  • monitoring 100%
  • swine 84%
  • tail biting 41%
  • herd productivity 38%
  • dynamic models 30%

• The effect of wind shielding and pen position on growth rate and efficiency in grower/finisher pigs

  Jensen, D. B., Toft, N. & Cornou, C., Aug 2014. 1 p.

  Research output: Contribution to conference › Poster › Research

• The effect of wind shielding and pen position on the average daily weight gain and feed conversion rate of grower/finisher pigs

  Jensen, D. B., Toft, N. & Cornou, C., Sept 2014, In: Livestock Science. 167, p. 353-361 9 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • feeder pigs 100%
  • Weight Gain 65%
  • feed conversion 59%
  • Swine 56%
  • weight gain 56%
  3 Citations (Scopus)