CONFERENCE O N PRECISION DAIRY FARMING LEEUWARDEN THE NETHERLANDS 21-23 JUNE 2016 Program SPONSORS Gold

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Bronze PROGRAM AT A GLANCE 09.00 - 09.15 Opening by Henk Hogeveen, Wageningen UR, Chairman of the Organizing Committee - Room New York 1&2 09.15 - 09.45 Key note presentation by Ynte Hein Schukken, GD Animal Health, the Netherlands • Animal health challenges on dairy farms increasing in size - 21 June are protocols and precision farming compatible? - Room New York 1&2

09.45 - 10.15 Key note presentation by James Hills, Tasmanian Institute of Agricultures Dairy Centre, Australia • Precision feeding and grazing management for temperate pasture-based dairy systems - Room New York 1&2 10.15 - 10.45 Break 10.45 - 12.05 Session 1 - Room NY 1 Session 2 - Room NY 2 Session 3 - Room NY 3 Reproduction (shared Feeding I Metabolic disorders session with DairyCare) 12.05 - 13.00 Lunch 13.00 - 14.00 Poster presentations

Tuesday 14.00 - 15.00 Session 4 - Room NY 1 Session 5 - Room NY 2 Session 6 - Room NY 3 Activity and lameness Requirements for PDF Udder health and reproduction

15.00 - 15.30 Break 15.30 - 16.50 Session 7 - Room NY 1 Session 8 - Room NY 2 Session 9 - Room NY 3 Cow traffic and AMS Economic impact of PDF Welfare 18.00 - 20.30 Welcome Reception at Harmonie, Ruiterskwartier 4, 8911 BP Leeuwarden 20.30 - Social activity

Wednesday 22 June 18.00 -late 09.00 -18.00 Conference Campus dinnerattheDairy Farms Visiting Precision Dairy

Thursday 23 June 16.50 -17.00 16.20 -16.50 15.20 -16.20 14.50 -15.20 13.30 -14.50 12.25 -13.30 11.05 -12.25 10.35 -11.05 09.35 -10.35 09.00 -09.30 Closing -RoomNew York 1&2 farms • Updateonuseof sensorsondairy Key notepresentation by Jeffrey Bewley, ofKentucky, University USA Grazing New PDFtechnologiesIII New PDFtechnologiesII Lameness detection New PDFtechnologiesI: Session 10 • Novel Farming Precision Dairy Technologies Key notepresentation by DanielBerckmans, KULeuven, Belgium Session 19 Break Session 13 Break Session Session 16 Lunch - - - - Room NY Room NY 1 Room NY 1 Room NY 1 1 Data modelling Data management Adding value to sensor data Big data Session 20- Session 17 - Session 14 - Session 11 - RoomNY 3 -RoomNew York 1&2 Room NY3 Room NY3 Room NY3 - RoomNew York 1&2 Performance of AMS Feeding II AMS efficiency Session 18 Session 15 Session 12 - - Room Milan - RoomMilan Room Milan

DETAILED PROGRAM Session 1 Session 2 Session 3 Reproduction (shared Feeding I Metabolic disorders session with DairyCare) Tuesday 21 June Chairperson: Dr Vivi Thorop Chairperson: Kees de Koning, MSc Chairperson: Dr. Hiemke Knijn Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 10.45-12.05 hrs 10.45 - 11.05 Derks, M.; Blavy, P.; Estimating chances of Sponsor presentation by Nutrition, Sensors & Hallén Sandgren, C.; Consistency of Christensen, J.M.; insemination success Agrifirm - Bahr, C. Genetics - A data driven Emanuelson, U. measurements from an Friggens, N.C. using milk progesterone smart feeding approach by automatic body condition measurements Agrifirm scoring camera

11.05 - 11.25 Lind, A.; Karlsson, M.; Calving alert system for Oberschätzl-Kopp, R.; Effects of an automatic Kaufman, E.I.; Leblanc, S.J.; Association between Lindahl, C.; Båge, R. better working Haidn, B.; Peis, R.; feeding system with dyna- Mcbride, B.W.; Duffield, T.F.; behavior and subclinical environment Reiter, K.; Bernhardt, H. mic feeding times on the Devries, T.J. ketosis in transition dairy behaviour of dairy cows cows

11.25 - 11.45 Krieger, S.; Prediction of calving Van Riel, J.W.; Dynamic concentrate Schcolnik, T.; Honig, H. Treating cows for ketosis Sattlecker, G.; in dairy cows using Lokhorst, C. feeding and the benefits in by milk fat-to-protein Kickinger, F.; Auer, W.; tail-mounted different parity groups on ratio levels to improve Iwersen, M.; Drillich, M. accelerometers dairy farms production

11.45 - 12.05 Borchers, M.; Predicting impending Mottram, T.T.F.; Redefining SARA in dairy Chang, Y.M.; calving using activity, lying, Worfolk, J.P. cows with reticulum pH Wadsworth, B.; and rumination behavior measurements Stone, A.; Bewley, J. monitors in dairy cattle

Room New York 1 Room New York 2 Room New York 3 Session 4 Session 5 Session 6 Lameness detection Requirements for PDF Udder health and reproduction Tuesday 21 June Chairperson: Prof. Lene Munksgaard Chairperson: Niels Rutten, MSc Chairperson: Prof. Ynte Schukken

Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 14.00 - 15.00 hrs 14.00 - 14.20 Link, Y.; Salau, J.; Using classifiers based Van Weyenberg, S.; Farmers’ preference Gouw, A.; De Jong, L.; Optimizing dry cow Karsten, S.; Krieter, J. on 3D-head acceleration Pluym, L.M.; Piccart, K.; towards heat detection Van der Tol, R.; therapy using frequent data for lameness Van Nuffel, A.; Aernouts, B.; sensor technology Van der Kamp, A.J. SCC monitoring detection Huybrechts, T.; De Busser, E.; Mondelaers, K.; Saeys, W.

14.20 - 14.40 Wadsworth, B.A.; Behavioral comparisons Eastwood, C.; Understanding the roles Adriaens, I.; Improved milk Mayo, L.M.; Tsai, I.C.; among lame versus sound Chaplin, S.; Dela Rue, B. of farm advisors in Huybrechts, T.; Aernouts, B.; progesterone algorithm Stone, A.E.; Ray, D.R.; cattle using precision Lyons, N.; Gray, D. precision dairy farming Piccart, K.; Geerincks, K.; to monitor reproduction Clark, J.D.; Bewley, J.M. technologies Daems, D.; Lammertyn, J.; in dairy cows De Ketelaere, B.; Saeys, W.

14.40 - 15.00 Van Erp-Van der Validation of Nedap Kort, J.; Van der Smart Dairy Farming Sponsor presentation by Recent advances in Kooij, E.; Van de Brug, Smarttag Leg and Neck Weerdt, C.; De Boer, J.; in practice: design Fullwood mastitis detection with M.; Roelofs, J.B. to assess behavioural Paradies, G.L. requirements for automatic milking activity level in cattle user-friendly data based systems services

Room New York 1 Room New York 2 Room New York 3 Session 7 Session 8 Session 9 Cow traffic and AMS Economic impact of PDF Welfare

Tuesday 21 June Chairperson: Prof. Marcia Endres Chairperson: Prof. Jeffrey Bewley Chairperson: Assoc Prof. Karin Orsel Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 15.30 - 16.50 hrs 15.30 - 15.50 Sponsor presentation Precision livestock farming Van de Gught, T.; Relation between sensor Koene, P.; Hogewerf, P.; Dairy cow welfare: by Lely - to unburden the dairy Van Nuffel, A.; Piccart, K.; performance and willingness Ipema, B effects of a virtual fence Van der Kamp, A.J. farmer Lauwers, L.; Saeys, W.; of farmers to pay for on social behavior Van Weyenberg, S. lameness detection systems

15.50 - 16.10 Pitkäranta, J.; Automatic Milking in De Veer, J.; Development of an invest- Keeling, L.J.; De Oliveira, D.; Use of mechanical rota- Rodenburg, J. Large Dairy Herds Eastwood, C.; ment model for automated Rustas, B.-O. ting brushes in dairy cows Neal, M.; Dela Rue, B.; mastitis detection systems - a potential proxy for Kamphuis, C. performance and welfare?

16.10 - 16.30 Wildridge, A.; The impact of a partially Lyons, N.; Eastwood, C.; Current and future technolo- Gabrieli, R. Monitoring social Thomson, P.; Garcia, S.; shaded laneway on vo- Dela Rue, B.; Kerrisk, K. gy adoption of milking related behaviour in grazing cows Jongman, E.; Clark, C.; luntary traffic between technologies on Australian Kerrisk, K. pasture and an AMS and New Zealand dairy farms

16.30 - 16.50 Heurkens, D.; Kamphuis, C.; Effects of freestall barn Allain, C.; Chanvallon, Technical, economic and Guzhva, O.; Nilsson, M.; Development of a seven- Van der Kamp, A.J. layout on efficiency of A.; Courties, R.; Billon, D.; sociological impacts of an Herlin, A.; Ardö, H.; point shape model for Dutch dairy farms with an Bareille, N. automated estrus detection Åström, K.; Bergsten, C. analysis of social inter- automatic milking system system for dairy cows actions in dairy cattle

Room New York 1 Room New York 2 Room New York 3 Session 10 Session 11 Session 12 New PDF technologies I: Big data Feeding II Lameness Detection Thursday 21 June Chairperson: Dr. Claudia Bahr Chairperson: Prof. Nathalie Bareille Chairperson: Prof. Trevor de Vries

Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 09.35 - 10.35 hrs 09.35 - 09.55 Zhao, K.; He, D.; Detection of lameness Van der Tol, R.; When cow health counts, Van der Waaij, B.D.; Cow feed intake Bewley, J. in dairy cattle based on Kool, P.; Van der Kamp, A.J. probabilities matter Feldbrugge, R.L.; prediction with machine limb motion analysis Veerkamp, R.F. learning with automatic image processing

09.55 - 10.15 Orsel, K.; Solano, L.M.; Automated footbaths to Verhoosel, J.P.C; Semantics for big data Dias, K.M.; Clark, C.E.F.; Creating value from data: Pickel, C.; Dopfer, D.; implement a standardized Spek, J. application in the Smart John, A. Milking order and its Barkema, H.W. protocol: impact Digital Dairy Farming domain role in future precision Dermatitis dynamic dairy feeding systems

10.15 - 10.35 Van De Gucht, T.; Assessment of the Harty, E.; Healy, J. Using Big Data and De Mol, R.M.; The relation between Saeys, W.; possibilities to downscale Advanced Analytics to Goselink, R.M.A.; feeding duration and Van Weyenbergh, S.; the Gaitwise system by optimise Health and Knijn, H.M. roughage intake of dairy Lauwers, L.; Mertens, K.C.; reducing the amount of Fertility cows Vandaele, L.; Vangeyte, J.; sensors Van Nuffel, A.

Room New York 1 Room New York 3 Room Milan Session 13 Session 14 Session 15 New PDF technologies II Adding value to sensor data AMS efficiency

Thursday 21 June Chairperson: Prof. Daniel Berckmans Chairperson: Prof. Albert de Vries Chairperson: Prof. Douglas Reinemann Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 11.05 - 12.25 hrs 11.05 - 11.25 Klefot, J.M.; Murphy, J.L.; Development of a Sponsor presentation CowManager, a unique Sponsor presentation The advancement of Donohue, K.D.; O’hara, B.F.; non-invasive system for by Agis - Griffioen, G. multiple monitoring by Delaval - Perrotin, T. robotic milking on dairy Lhamon, M.E.; monitoring dairy cattle system using the ear farms: a few eye opening Bewley, J.M. sleep facts

11.25 - 11.45 Demba, S.; Pressure-indicating film Huijps, K.; Huurnink, H.; The Ovalert concept: Harms, J.; A tool to analyse and Rose-Meierhöfer, S.; to measure the pressure Pasman, A.; Knijn, H. adding value to sensor Bruckmaier, R.M. optimise milking intervals Ammon, C.; Elsholz, S.; between a collapsing liner data in robotic milking Brunsch, R. and an artificial teat systems

11.45 - 12.05 Timmerman, M.; Maximizing the biogas pro- C.A.V. Paiva, C.A.V.; Information and DiGennaro, A.J.; Effects of a Low Moisture Van Riel, J.W. duction of manure-based Tomich, T.R.; Machado, F.S.; precision technologies Lee, A.R.; Block Supplement on biogas plants with a Dyna- Campos, M.M.; Souza, G.N.; used for improving the Wadsworth, B.A.; Clark, J.D.; Cow Distribution and mic Input Advice System Velasco, F.O.; Possas, F.P.; milking routine Bewley, J.M. Time Budget Lima, J.A.M.; Ferreira, A.L.; performance Pereira, L.G.R. 12.05 - 12.25 Höld, M.; Gräff, A.; Basics for the energy distri- Sponsor presentation Real-Time automatic Bernhardt, H.; bution in a dairy Sponsor presentation by Managing heat stress in by Afimilk -Arazi, A. cow monitoring - Stumpenhausen, J. barn with an energy ma- SCR - Bar, D. dairy cows using on-cow New practices nagement system sensors Room New York 1 Room New York 3 Room Milan Session 16 Session 17 Session 18 New PDF technologies III Data management Performance of AMS

Thursday 21 June Chairperson: Prof. Toby Mottram Chairperson: Dr. Callum Eastwood Chairperson: Dr. Stephanie van Weyenberg Authors Title Authors Title Authors Title (presenting author in bold) (presenting author in bold) (presenting author in bold) 13.30 - 14.50 hrs 13.30 - 13.50 Jorritsma, R.; Internet of cows: a novel Sponsor presentation Cow Time Budget and Sponsor presentation by Precision dairy technology Nielen, M.; Heesterbeek, H.; sensor bolus for oral by Smartbow Beyond - Experience GEA - Klimpel, S. on the way - and how it Aardema, H. application with the SMARTBOW® can really break through System

13.50 - 14.10 Orsel, K.; Wolfger, B.; Evaluation of an ear- Stygar, A.H.; Tool for assessing the Tremblay, M.; Individualized Wadsworth, B.A.; based real-time location Krogh, M.A.; Østergaard, S.; intervention effect on milk Hess, J.P.; Christenson, B.M.; Recommendations Bewley, J.M. system Kristensen, A.R. production in an Evolutio- Mcintyre, K.K.; Smink, B.; Using Clustering of nary Operation setup Van der Kamp, A.J.; Robotic Milking Systems De Jong, L.G.; Döpfer, D. 14.10 - 14.30 Salau, J.; Haas, J.H.; A multi-Kinect system Derks, M.; Blavy, P.; Templates to classify Junge, W.; Thaller, G. for monitoring and Hoglund, J.K.; Friggens, N.C. progesterone profiles, built Lyons, N.; Kerrisk, K. KPI Project: Monitoring measuring functional using real-time milk pro- 9 Australian automatic traits in dairy cows gesterone measurements milking systems

14.30 - 14.50 Sponsor presentation Nedap Precision Dairy Sponsor presentation Precision Dairy Farming: Drach, U.; Degani, A.; Increasing milking frequency by Nedap - Meijer, L. Farming - Tools for by CRV - Roelofs, R.. Adding a new dimension Pnini, T.; Izhaki, I.; and milking yield in robotic operational, tactical and Halachmi, I. milking by using an strategic decision-makers automatic herding system

Room New York 1 Room New York 3 Room Milan Session 19 Session 20 Grazing Data modelling

Thursday 21 June Chairperson: Dr. James Hills Chairperson: Dr. Rudi de Mol

Authors Title Authors Title (presenting author in bold) (presenting author in bold) 15.20 - 16.20 hrs 15.20 - 15.40 Van Reenen, C.G.; Using behaviour in dairy A. De Vries Enhanced accuracy of Van der Werf, J.T.N.; cows as a predictor of cows’ retention, breeding, Timmer, B. Hoeksma, D.; grass intake and milking values Zom, R with precision dairy technologies

15.40 - 16.00 Allain, C.; Danilo, S.; Recording grazing Bonora, F.; Benni, S.; Comprehensive analysis Delagarde, R.; Brochard, V. behaviour of dairy cows Barbaresi, A.; Tassinari, P.; of AMS data: a cluster- in AMS farms with the Torreggiani, D. graph approach tested on Lifecorder+® sensor a dairy farm

16.00 - 16.20 Koene, P.; Hogewerf, P.; Grazing management Mottram, T.T.F.; Identifying sensor error Ipema, B. and welfare: effects of a Bradley, D.; Worfolk, J.P. and real variations in the Welcome reception and virtual fence on dairy cow bovine rumen pH, using social acitivity are sponsored behavior the eCow farmBolus by the city of Leeuwarden.

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