Publications by the PigIT project group

The following publications are written by PigIT project members as part of the project.

PhD dissertations

• Dominiak, K.N. 2017. Spatial modeling of drinking patterns as a tool for
  reducing alarms in pig production. Graduate School of Health and Medical Sciences, University of Copenhagen, Department of Veterinary and Animal Sciences.
• Pourmoayed, R. 2016. Optimization Methods in a Stochastic Production Environment. Aarhus BSS, Aarhus University, Department of Economics and Business Economics.
• Jensen. D.B. 2016. Automatic learning and pattern recognition using sensor data in livestock farming. Graduate School of Health and Medical Sciences, University of Copenhagen, Department of Large Animal Sciences.

Articles with peer review

• Tu, G.J. & E. Jørgensen. 2023. Vision analysis and prediction for estimation of pig weight in slaughter pens. Expert Systems with Applications 220. 119684.
• Pourmoayed. R. & L.R. Nielsen. 2022. Optimizing pig marketing decisions under price fluctuations. Annals of Operations Reseach 314, 617–644.
• Hauschild, L., A. R. Kristensen, I. Andretta, A. Remus, L. S. Santos & C. Pomar. 2020. Toward better estimates of the real-time individual amino acid requirements of growing-finishing pigs showing deviations from their typical feeding patterns. Animal 14, Supplement 2, 371-381.
• Jensen, D.B., M.L.V. Pedersen & L.J. Pedersen. 2019. Predicting pen fouling in slaughter pigs from pig position. Livestock Science 231, 103852.
• Rojo-Gimeno, C., M. van der Voort, J.K. Niemi, L. Lauwers, A.R. Kristensen & E. Wauters. 2019. Assessment of the value of information of precision livestock farming: A conceptual framework. NJAS - Wageningen Journal of Life Sciences 90-91, 100311. 
• Hindsborg. J. & A.R. Kristensen 2019.  From data to decision – Implementation of a sow replacement model. Computers and Electronics in Agriculture 165, 104970.
• Larsen, M.L.V., M. Bertelsen & L.J. Pedersen. 2019. Pen fouling in finisher pigs: Changes in the lying pattern and pen temperature prior to fouling. Frontiers in Veterinary Science 6, Article 118.
• Larsen, M.L.V., L.J. Pedersen & D.B. Jensen. 2019. Prediction of tail biting events in finisher pigs from automatically recorded sensor data. Animals 9, 458.
• Lopes Antunes A.C. & D. Jensen. 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. BMC Veterinary Research 15, 231. 
• Dominiak, K.N., J. Hindsborg, L.J. Pedersen & A.R. Kristensen. 2019. Spatial modeling of pigs’ drinking patterns as an alarm reducing method. II. Application of a multivariate dynamic linear model. Computers and Electronics in Agriculture 161, 92-103.
• Dominiak, K.N., L.J. Pedersen & A.R. Kristensen. 2019. Spatial modeling of pigs’ drinking patterns as an alarm reducing method. I. Developing a multivariate dynamic linear model. Computers and Electronics in Agriculture 161, 79-91.
• Pourmoayed. R. & L.R. Nielsen. 2019. An approximate dynamic programming approach for sequential pig marketing decisions at herd level. European Journal of Operational Research 276, 1056-1070
• Jonsson, N.N., J.L. Kleen, R.J. Wallace, I. Andonovice, C. Michiee, M. Farish, M. Mitchell, C. Duthie, D.B. Jensen & M.J. Denwood. 2019. Evaluation of reticuloruminal pH measurements from individual cattle: sampling strategies for the assessment of herd status. The Veterinary Journal 243, 26-32.
• Stygar, A.H. & A.R. Kristensen. 2018. Detecting abnormalities in pigs growth - a dynamic linear model with diurnal growth pattern for identified and unidentified pigs. Computers and Electronics in Agriculture 155, 180-189.
• Denwood, M.J., J.L. Kleen, D.B. Jensen & N.N. Jonsson. 2018. Describing temporal variation in reticuloruminal pH using continuous monitoring data. Journal of Dairy Science 101, 233-245.
• Stygar, A.H., K. Dolecheck & A. R. Kristensen. 2018. A new view on body weight in pigs for frequent monitoring. Animal 12, 295-302.
• Larsen, M.L.V., M. Bertelsen & L.J. Pedersen. 2018. Review: Factors affecting fouling in conventional pens for slaughter pigs. Animal 12, 322-328.
• Lopes Antunes, A.C., D. B. Jensen, T. Halasa & N. Toft. 2017. 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. PloS One 12, e0173099.
• Jensen, D.B., N. Toft & A.R. Kristensen. 2017. A multivariate dynamic linear model for early warnings of diarrhea and pen fouling in slaughter pigs. Computers and Electronics in Agriculture 135, 51-62.
• Dominiak, K.N. & A.R. Kristensen. 2017. Prioritizing alarms from sensor-based detection models in livestock production - A review on model performance and alarm reducing methods. Computers and Electronics 133, 46-67.
• Jensen, D.B., H. Hogeveen & A. de Vries. 2016. Bayesian integration of
  sensor information and a dynamic linear model for prediction of dairy cow
  mastitis. Journal of Dairy Science. Journal of Dairy Science 99, 7344-7361.
• Andersen, H.M.L., E. Jørgensen & L.J. Pedersen. 2016. Using Evolutionary Operation technique to evaluate different management initiatives at herd
  level. Livestock Science 187, 109-113.
• Stygar, A.H. & A.R. Kristensen. 2016. Monitoring growth in finishers by weighing selected groups of pigs - a dynamic approach. Journal of Animal Science 94, 1255-1266.
• Larsen, M.L.V., H.M.-L. Andersen & L.J. Pedersen. 2016. Can tail damage out-breaks in the pig be predicted by behavioural change? The Veterinary Journal 209, 50-56.
• Jensen, D.B. & A.R. Kristensen. 2016. Temperature as a predictor of fouling and diarrhea in slaughter pigs. Livestock Science 183, 1-3.
• Pourmoayed, R., L.R. Nielsen & A.R. Kristensen. A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs. European Journal of Operational Research 250, 925-938.
• Kristensen, A.R. 2015. From biological  models to economic optimization. Preventive Veterinary Medicine 118,  226-237.
• Jensen, D.B., N. Toft & C. Cornou. 2014. The effect of wind shielding and pen position on the average daily weight gain and feed conversion rate of grower/finisher pigs. Livestock Science 167, 353-361. [Abstract][Full text]

Book chapters

• Nielsen, L.R. & A.R. Kristensen. 2015. Markov Decision  Processes to Model Livestock Systems. In: Plà-Aragonés, L.M. (Ed.): Handbook of Operations Research in Agriculture and the Agri-Food Industry.  International Series in Operations Research & Management Science. Volume 224,  Chapter 19, 419-454. Springer, New York.

Conferences

Conference articles, peer reviewed

• Jensen, D.B., K.N. Dominiak & L.J. Pedersen. 2018. Automatic estimation of slaughter pig live weight using convolutional neural networks. II International Conference on Agro BigData and Decision Support Systems in Agriculture. Lleida, Spain, 12-14 July 2018.
• Dominiak, K.N., J. Hindsborg, L.J. Pedersen & A.R. Kristensen. 2018. Area-specific predictions of unwanted events using multivariate modeling of water data. II International Conference on Agro BigData and Decision Support Systems in Agriculture. Lleida, Spain, 12-14 July 2018.
• Lopes Antunes, A.C., D. Jensen, T. Halasa & N. Toft. 2017. What tools are useful for monitoring endemic diseases? A simulation study based on different time-series components. Proceedings of the 3rd International  Conference on Animal Health Surveillance, Rotorua, New Zealand, 2017. p. 5-7.
• Dominiak, K.N., J. Hindsborg, L.J. Pedersen & A.R. Kristensen. 2017. Reducing alarms and prioritising interventions in pig production by simultaneous monitoring of water consumption in multiple pens.  EC-PLF conference in Nantes, 12-14 September 2017.
• Lopes Antunes, A.C., D.B. Jensen, T. Halasa & N. Toft. 2016. Dynamic generalized linear models for monitoring endemic diseases: moving beyond univariate process monitoring control algorithms. Annual Conference of The Society for Veterinary Epidemiology and Preventive Medicine (SVEPM), 16th-18th March 2016, Helsingør, Denmark.
• Andersen, H.M-L., E. Jørgensen, L.J. Pedersen and L. Foldager. 2015. Can use of online measurements in EVOP designs reduce the time to locate production optimum? EC-PLF conference in Milan, 15-18 September 2015.
• Jensen, D.B., C. Cornou, N. Toft and A.R. Kristensen. 2015. A multi-dimensional dynamic linear model for monitoring slaughter pig production. EC-PLF conference in Milan, 15-18 September 2015.

Conference articles in proceedings

• Kristensen, A.R. and D.B. Jensen. 2015. The intelligent pig barn. International conference on pig welfare: Improving Pig Welfare - what are the ways forward? Copenhagen, 29-30 April 2015. p. 34-37.

Oral presentations

• Hindsborg, J. 2018. From raw data to optimal sow replacement decisions - an integrated solution. Closing Conference of the PigIT project, 13 November, Copenhagen, Denmark.
• Pourmoayed, R. 2018. Models and methods for optimization of pig production in a stochastic environment. Closing Conference of the PigIT project, 13 November, Copenhagen, Denmark.
• Domun, Y. 2018. Using machine learning to predict tail-biting, fouling and diarrhea in pigs. Closing Conference of the PigIT project, 13 November, Copenhagen, Denmark.
• Pedersen, L.J. 2018. Behavioral changes preceding tail biting and pen fouling in slaughter pig pens. Closing Conference of the PigIT project, 13 November, Copenhagen, Denmark.
• Dominiak, K.N. 2018. Spatial modeling of drinking patterns as a tool for reducing alarms in pig production. Closing Conference of the PigIT project, 13 November, Copenhagen, Denmark.
• Jensen, D.B. 2018. Automatic learning and pattern recognition using sensor data. Closing Conference of the PigIT project, 13 November, Copenhagen, Denmark.
• Stygar, A.H. 2018. A dynamic approach to monitoring of growth in finishers. Closing Conference of the PigIT project, 13 November, Copenhagen, Denmark.
• Kristensen, A.R. 2018. The ideas behind the PigIT project. Closing Conference of the PigIT project, 13 November, Copenhagen, Denmark.
• Jensen, D.B., K.N. Dominiak & L.J. Pedersen. 2018. Automatic estimation of slaughter pig live weight using convolutional neural networks. Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science, 27-31 August, Dubrovnik, Croatia. p437.
• Hindsborg, J. & A.R. Kristensen. 2018. From raw data to optimal sow replacement decisions - an integrated solution. Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science, 27-31 August, Dubrovnik, Croatia. p531.
• Stygar, A.H. & A.R. Kristensen. 2018. Monitoring growth of identified and unidentified pigs using data from an automatic weighing system. Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science, 27-31 August, Dubrovnik, Croatia. p530.
• Dominiak, K.N., J. Hindsborg, L.J. Pedersen & A.R. Kristensen. 2018. Area-specific predictions of unwanted events using multivariate modeling of water data. II International Conference on Agro BigData and Decision Support Systems in Agriculture. Lleida, Spain, 12-14 July 2018.
• Jensen, D.B., K.N. Dominiak & L.J. Pedersen. 2018. Automatic estimation of slaughter pig live weight using convolutional neural networks. II International Conference on Agro BigData and Decision Support Systems in Agriculture. Lleida, Spain, 12-14 July 2018.
• Dominiak, K.N. & A.R. Kristensen. 2018. Predicting tail bites and diarrhea amongst growing pigs from changes in drinking patterns - a validation of a dynamic spatial detection system on data from an independent herd. Precision Livestock Researchers Workshop Seminar, 3-4 May 2018, Wageningen, The Netherlands.
• Hauschild, L., A.R. Kristensen, I. Andretta & C. Pomar. 2018. Dynamic feeding intake monitoring in growing-finishing pigs reared under precision feeding strategies. Precision Livestock Researchers Workshop Seminar, 3-4 May 2018, Wageningen, The Netherlands.
• Dominiak, K.N. 2018. Management support by drinking pattern modeling. 5th CPH Pig seminar January 30, 2018.
• Jensen, D.B. 2018. Automatic estimation of weaner live weight using artificial neural networks. 5th CPH Pig seminar January 30, 2018.
• Dominiak, K.N., J. Hindsborg, L.J. Pedersen & A.R. Kristensen. 2017. Reducing alarms and prioritising interventions in pig production by simultaneous monitoring of water consumption in multiple pens. EC-PLF conference in Nantes, 12-14 September 2017.
• Jensen, D.B. 2017. Combining a multivariate dynamic linear model with artificial neural networks for detecting diarrhea in slaughter pigs. Book of presentations of the 4th CPH Pig seminar February 1, 2017. P52.
• Boel, M. & L. Foldager. 2017. Development of a predictive algorithm for a pig farming decision support system. 39. Symposium i Anvendt Statistik, 23-24 January 2017, Odense. 
• Stygar, A.H., K. Dolecheck and A.R. Kristensen. 2016. A new view on the growth of pigs in relation to frequent body weight monitoring. Joint Annual Meeting (JAM). Salt Lake City, Utah, July 19-23.
• Jensen, D.B. & A.R. Kristensen. 2016. Comparison of strategies for combining dynamic linear models with artificial neural networks for detecting diarrhea in slaughter pigs. Joint Annual Meeting (JAM). Salt Lake City, Utah, July 19-23.
• Dominiak, K.N., L.J. Pedersen & A.R. Kristensen. 2016. Simultaneous monitoring of water consumption in eight double pens as a tool for improving welfare and predicting diseases and unwanted behavioral changes in finisher pigs. Joint Annual Meeting (JAM). Salt Lake City, Utah, July 19-23. 
• Jensen, D.B., A.R. Kristensen & N. Toft. 2016. Early warning of diarrhea and pen fouling in growing pigs using sensor-based monitoring. International Pig Veterinary Society Congress (IPVS). 07-10 June 2016. Dublin, Ireland.
• Stygar, A. H. 2016. Monitoring growth in finishers by weighing selected groups of pigs. Book of presentations of the 3rd CPH Pig seminar February 3rd, 2016 - Up to Date with Pig Research. Copenhagen, Denmark, 28 January 2015. P23.
• Lopes Antunes, A.C., D.B. Jensen, T. Halasa & N. Toft. 2016. Monitoring PRRS using laboratory data. Book of presentations of the 3rd CPH Pig seminar February 3rd, 2016 - Up to Date with Pig Research. Copenhagen, Denmark, 28 January 2015. P35.
• Jensen, D.B. A multivariate dynamic linear model for early warnings of diarrhea and pen fouling in slaughter pigs. Book of presentations of the 3rd CPH Pig seminar February 3rd, 2016 - Up to Date with Pig Research. Copenhagen, Denmark, 28 January 2015. P13.
• Stygar, A.H. & A.R. Kristensen. What we can learn from weighing selected group of animals? - A dynamic production monitoring in pig fattening herd. Maataloustieteen Päivät 2016, Helsinki 12.-13.1.2016.
• Pourmoayed, R. & L.R. Nielsen. A hierarchical Markov decision process for finding the best replacement policy of fattening pigs. INFORMS Annual Meeting, Philadelphia 1.-4. November 2015.
• Stygar, A.H & A.R. Kristensen. 2015. Evaluation of manual weight measurement system in fattening pigs - dynamic monitoring approach. Book of abstracts of the 66th Annual Meeting of the European Federation of Animal Science. Warsaw, Poland. p298.
• Jensen, D.B. & A. De Vries. 2015. Bayesian prediction of mastitis using sensor data routinely collected in dairy herds. Book of abstracts of the 66th Annual Meeting of the European Federation of Animal Science. Warsaw, Poland. p297.
• Dominiak, K.N. 2015. How Performance Impairs Implementation - A Review of the Performance of Sensor-based Automatic Monitoring Systems in Livestock Production. Book of abstracts of the 66th Annual Meeting of the European Federation of Animal Science. Warsaw, Poland. p297.
• Jensen, D.B. 2015. Temperature as a predictor of fouling and diarrhea in slaughter pigs. PhD day, Faculty of Health and Medical Sciences, University of Copenhagen, 21 May 2015.
• Jensen, D.B., 2015 Multivariate Dynamic Linear Models for Monitoring of Grower/Finisher Pigs. Book of presentations of the 2nd CPH Pig seminar January 28, 2015 - Up to Date with Pig Research. Copenhagen, Denmark, 28 January 2015. p55.
• Dominiak, K.N. 2015. Prioritization of alarms from automatic monitoring systems in livestock production – a review. Book of presentations of the 2nd CPH Pig seminar January 28, 2015 - Up to Date with Pig Research. Copenhagen, Denmark, 28 January 2015. p59.
• Jensen, D.B., N. Toft, A.R. Kristensen & C. Cornou. 2014. Dynamic monitoring of weight data at the pen vs at the individual level. Book of Abstracts of the 65th Annual Meeting of the European Federation of Animal Science. Copenhagen, Denmark, 25 - 29 August 2014. p224. [Abstract]
• Pourmoayed, R., L.R. Nielsen and A.R. Kristensen. 2014. A hierarchical Markov decision process modelling feeding and marketing decisions of growing pigs. Conference of the International Federation of Operational Research Societies (IFORS).  Barcelona,  Spain, 13-18 July 2014.
• Pourmoayed, R., L.R. Nielsen and A.R. Kristensen. 2014. A hierarchical Markov decision process modelling feeding and marketing decisions of growing pigs. Workshop on OR in Agriculture and Forest Management.  Lleida, Spain, 20-23 July 2014.
• Pourmoayed, R., and L.R. Nielsen. 2013, A Markov model for optimal slaughter pig marketing- An outline of the PigIT project (an example and extensions). NorForsk Workshop. Aarhus, Denmark, 13-14 May 2013.

Posters

• Denwood, M.J., D.B. Jensen, J.L. Kleen & N.N. Jonsson. 2018. Association between temporal patterns in continuously monitored reticuloruminal pH data and production characteristics in dairy cows. 15th International Symposium of Veterinary Epidemiology and Economics. 12-16 November 2018, Chang Mai, Thailand.
• Jensen, D.B. and A. De Vries. 2016. Combining a multivariate dynamic linear model and a naive Bayesian classifier for mastitis detection. Book of abstracts of the conference on Precision Dairy Farming (PDF). 21-23 June 2016. Leeuwarden, The Netherlands.
• Lopes Antunes, A.C., D.B. Jensen, T. Halasa & N. Toft. 2016. What to look for when monitoring animal diseases? Annual Conference of The Society for Veterinary Epidemiology and Preventive Medicine (SVEPM). 16-18 March 2016. Helsingør, Denmark.
• Jensen, D.B., N.Toft & A.R.Kristensen. 2015. Temperature as a predictor of
  fouling and diarrhea in slaughter pigs. Book of abstracts of the 66th Annual
  Meeting of the European Federation of Animal Science. Warsaw, Poland.
  p303.
• Jensen, D.B. 2015. Temperature as a predictor of fouling and diarrhea in slaughter pigs. PhD day, Faculty of Health and Medical Sciences, University of Copenhagen, 21 May 2015. Programme & Abstracts, p20.
• Tu, G.J. & E. Jørgensen. 2014. Pig video tracking methods: a review and new trends. Book of Abstracts of the 65th Annual Meeting of the European Federation of Animal Science. Copenhagen, Denmark, 25 - 29 August 2014. p450. [Abstract][Poster]
• Jensen, D.B., N. Toft & C. Cornou. 2014. The effect of wind shielding and pen position on growth rate and efficiency in grower/finisher pigs. Book of Abstracts of the 65th Annual Meeting of the European Federation of Animal Science. Copenhagen, Denmark, 25 - 29 August 2014. p451. [Abstract][Poster]
• Cornou, C. & A.R. Kristensen. 2014. Monitoring the nest building and parturition progress using acceleration data. Book of Abstracts of the 65th Annual Meeting of the European Federation of Animal Science. Copenhagen, Denmark, 25 - 29 August 2014. p104. [Abstract][Poster]
• Pourmoayed. R., L.R. Nielsen & A.R. Kristensen. 2014. A Markov model for optimal feeding and marketing decisions in production units of growing pigs.  Book of Abstracts of the 65th Annual Meeting of the European Federation of Animal Science. Copenhagen, Denmark, 25 - 29 August 2014. p451. [Abstract][Poster]
• Andersen, H.M-L., E. Jørgensen & L.J. Pedersen. 2014. Use of evolutionary operation technique on farm level. Proceedings of the 48th Congress of the International Society for Applied Animal Ethology. Vitoria-Gasteiz, Spain,
  29 July - 2 August 2014. p164. [Abstract][Poster]

Master's theses

• Sørensen, K.B. 2019. Detecting abnormalities in daily weight gain in finisher pigs using automatic camera weighing. Department of Veterinary and Animal Sciences, University of Copenhagen.
• Xu, Hao. 2017. Analyses of body weight in growing pigs. The influence of different penetration rates of electronic ear tags for frequent monitoring. Department of Veterinary and Animal Sciences, University of Copenhagen.

PigIT Reports

PigIT reports are either preprints of articles to be submitted for journal publication or they are of more technical nature with documentation of farms, sensor infrastructure, data models or preliminary analyses.

1. Kristensen, A.R., E. Jørgensen, N. Toft & L.R. Nielsen. 2012. The PhD projects of PigIT. PigIT Report No. 1.
2. Kristensen, A.R. 2014. Data model for supplementary registrations in the PigIT project. PigIT Report No. 2.
3. Kristensen, A.R. 2014. Logbook and supplementary registrations at the Kappel farm. PigIT Report No. 3.
4. Pourmoayed, R. & L.R. Nielsen. 2014. An overview over pig production of fattening pigs with a focus on possible decisions in the production chain. PigIT Report No. 4.
5. Krogsdahl, J. 2014. Description of Kappel farm. PigIT Report No. 5.
6. Krogsdahl, J. 2014. Description of Grønhøj farm. PigIT Report No. 6.
7. Krogsdahl, J. 2015. Description of herd with large common pens. PigIT Report No. 7. 
8. Lyderik, K.K., H.M.-L. Andersen, H.H. Kristensen & L.J. Pedersen. 2016. Protocol for daily observations in the herds of the PigIT project. PigIT Report No. 8.
9. Lyderik, K.K. 2016. Description of Søndergaard farm. PigIT Report No. 9.
10. Anonymous. 2018. The PigIT Closing Conference. Book of Presentations I. PigIT Report No. 10.
11. Anonymous. 2018. The PigIT Closing Conference. Book of Presentations II. Publications of PigIT. PigIT Report No. 11.