• Part 1. Precision livestock farming

1.1. Precision dairy monitoring: what have we learned? J.M. Bewley, R.A. Russell, K.A. Dolecheck, M.R. Borchers pp. 13–24 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_1.1 Abstract | References | Full-text (246 KB)

1.2. Smart farming for Europe: value creation through precision livestock farming D. Berckmans pp. 25–36 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_1.2 Abstract | References | Full-text (2730 KB)

• Part 2. Precision livestock farming applications for automatic lameness detection

2.1. Detecting lameness in sows using acceleration data from ear tags C. Scheel, I. Traulsen, J. Krieter pp. 37–44 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_2.1 Abstract | References | Full-text (572 KB)

2.2. Risk factors for system performance of an automatic 3D vision locomotion monitor for cows T. van Hertem, S. Viazzi, A. Schlageter-Tello, C. Bahr, M. Steensels, C.E.B. Romanini, C. Lokhorst, E. Maltz, I. Halachmi, D. Berckmans pp. 45–54 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_2.2 Abstract | References | Full-text (606 KB)

2.3. Development of a multi-Kinect-system for gait analysis and measuring body characteristics in dairy cows J. Salau, J.H. Haas, W. Junge, M. Leisen, G. Thaller pp. 55–64 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_2.3 Abstract | References | Full-text (738 KB)

2.4. Hoof lesion detection with manual and automatic locomotion scores in dairy cattle A. Schlageter-Tello, T. van Hertem, S. Viazzi, E.A.M. Bokkers, P.W. Groot Koerkamp, C. Machteld Steensels, C.E.B. Romanini, C. Bahr, I. Halachmi, D. Berckmans, C. Lokhorst pp. 65–70 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_2.4 Abstract | References | Full-text (270 KB)

2.5. Discussion: PLF applications of automatic lameness detection I. Halachmi, A. Schlageter Tello, A. Peña Fernández, T. van Hertem, V. Sibony, S. Weyl-Feinstein, A. Verbrugge, M. Bonneau, R. Neilson pp. 71–76 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_2.5 Abstract | Full-text (264 KB)

• Part 3. How precision livestock farming delivers added value to the farmers

3.1. Use of sensor systems on Dutch dairy farms W. Steeneveld, H. Hogeveen pp. 77–86 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_3.1 Abstract | References | Full-text (373 KB)

3.2. Economic modelling to evaluate the benefits of precision livestock farming technologies C. Kamphuis, W. Steeneveld, H. Hogeveen pp. 87–94 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_3.2 Abstract | References | Full-text (424 KB)

3.3. Developing SmartFarming entrepreneurship – II preparing precision lifestock farming spin-offs H. Lehr, J. van den Bossche, M. Mergeay, D. Rosés pp. 95–104 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_3.3 Abstract | References | Full-text (701 KB)

3.4. Word of caution for technology providers: practical problems associated with large scale deployment of PLF technologies on commercial farms T. Banhazi, E. Vranken, D. Berckmans, L. Rooijakkers, D. Berckmans pp. 105–112 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_3.4 Abstract | References | Full-text (382 KB)

3.5. Discussion: how PLF delivers added value to farmers I. Halachmi, A. Schlageter Tello, A. Peña Fernández, T. van Hertem, V. Sibony, S. Weyl-Feinstein, A. Verbrugge, M. Bonneau, R. Neilson pp. 113–118 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_3.5 Abstract | Full-text (293 KB)

• Part 4. Precision livestock farming in genetics, health of beef and cattle

4.1. The effect of gradual weaning on haematological profiles and leukocyte relative gene expression levels of Holstein-Friesian and Jersey bull calves D. Johnston, D.A. Kenny, S.M. Waters, M. McCabe, A.K. Kelly, M. McGee, B. Earley pp. 119–134 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_4.1 Abstract | References | Full-text (934 KB)

4.2. Monitoring of the physiological and behavioural stress response of Holstein bulls following group mixing S. Weyl-Feinstein, A. Orlov, M. Yishay, R. Agmon, M. Steensels, V. Sibony, I. Halachmi, I. Izhaki, A. Shabtay pp. 135–142 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_4.2 Abstract | References | Full-text (556 KB)

4.3. Investigating the use of rumination sensors during the peripartum period in dairy cows D.N. Liboreiro, K.S. Machado, M.I. Endres, R.C. Chebel pp. 143–148 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_4.3 Abstract | References | Full-text (634 KB)

4.4. Monitoring stress behaviour in grazing beef cows R. Gabrieli, E. Misha pp. 149–160 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_4.4 Abstract | References | Full-text (674 KB)

4.5. The potential of using sensor data to predict the moment of calving for dairy cows C.J. Rutten, W. Steeneveld, C. Kamphuis, K. Huijps, H. Hogeveen pp. 161–168 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_4.5 Abstract | References | Full-text (522 KB)

4.6. Discussion: PLF in genetics & health of beef, calves and heifers I. Halachmi, A. Schlageter Tello, A. Peña Fernández, T. van Hertem, V. Sibony, S. Weyl-Feinstein, A. Verbrugge, M. Bonneau, R. Neilson pp. 169–170 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_4.6 Abstract | Full-text (232 KB)

• Part 5. Precision livestock farming for automatic detection of animal health in poultry and pigs

5.1. Facilitation of assessment of technical measures and its potential for implementation of the Broiler Directive (2007/43/EC) A. Butterworth, G. Richards, E. Vranken pp. 171–182 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_5.1 Abstract | References | Full-text (619 KB)

5.2. Monitoring the hatching time of individual chicks and its effect on chick quality Q. Tong, T. Demmers, C.E.B. Romanini, V. Exadaktylos, H. Bergoug, N. Roulston, D. Berckmans, M. Guinebretière, N. Eterradossi, R. Verhelst, I.M. McGonnell pp. 183–186 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_5.2 Abstract | References | Full-text (483 KB)

5.3. The use of vocalisation sounds to assess responses of broiler chicken to environmental variables I. Fontana, E. Tullo, A. Butterworth pp. 187–198 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_5.3 Abstract | References | Full-text (973 KB)

5.4. Pig cough monitoring in the EU-PLF project: first results M. Hemeryck, D. Berckmans pp. 199–208 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_5.4 Abstract | References | Full-text (823 KB)

5.5. Assessing the drinking behaviour of individual pigs using RFID registrations J. Maselyne, I. Adriaens, T. Huybrechts, B. de Ketelaere, S. Millet, J. Vangeyte, A. van Nuffel, W. Saeys pp. 209–216 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_5.5 Abstract | References | Full-text (648 KB)

5.6. Continuous surveillance of pigs in a pen using learning-based segmentation in computer vision M. Nilsson, A.H. Herlin, O. Guzhva, K. Åström, H. Ardö, C. Bergsten pp. 217–224 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_5.6 Abstract | References | Full-text (885 KB)

5.7. Discussion: PLF for automatic detection of animal health – poultry and pigs I. Halachmi, A. Schlageter Tello, A. Peña Fernández, T. van Hertem, V. Sibony, S. Weyl-Feinstein, A. Verbrugge, M. Bonneau, R. Neilson pp. 225–228 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_5.7 Abstract | Full-text (315 KB)

• Part 6. Precision livestock farming for automatic detection of animal health in cows

6.1. Monitoring the body temperature of cows and calves with a video-based infrared thermography camera G. Hoffmann, M. Schmidt pp. 229–238 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_6.1 Abstract | References | Full-text (792 KB)

6.2. Early detection of metabolic disorders in dairy cows by using sensor data R.M. de Mol, J. van Dijk, M.H. Troost, A. Sterk, R. Jorritsma, P.H. Hogewerf pp. 239–248 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_6.2 Abstract | References | Full-text (933 KB)

6.3. Behaviour and performance based health detection in a robotic dairy farm M. Steensels, C. Bahr, D. Berckmans, A. Antler, E. Maltz, I. Halachmi pp. 249–256 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_6.3 Abstract | References | Full-text (598 KB)

6.4. Discussion: PLF for automatic detection of animal health in cows I. Halachmi, A. Schlageter Tello, A. Peña Fernández, T. van Hertem, V. Sibony, S. Weyl-Feinstein, A. Verbrugge, M. Bonneau, R. Neilson pp. 257–262 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_6.4 Abstract | Full-text (529 KB)

• Part 7. Precision livestock farming in milk quality and milk contents

7.1. Real-time analyses of BHB in milk can monitor ketosis and its impact on reproduction in dairy cows J.Y. Blom, J.M. Christensen, C. Ridder pp. 263–272 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_7.1 Abstract | References | Full-text (1007 KB)

7.2. Assessing the pregnancy status of dairy cows by mid-infrared analysis of milk A. Lainé, H. Bel Mabrouk, L-M. Dale, C. Bastin, N. Gengler pp. 273–278 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_7.2 Abstract | References | Full-text (557 KB)

7.3. Evaluating progesterone profiles to improve automated oestrus detection C. Kamphuis, K. Huijps, H. Hogeveen pp. 279–286 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_7.3 Abstract | References | Full-text (756 KB)

7.4. Discussion: PLF in milk quality and milk contents I. Halachmi, A. Schlageter Tello, A. Peña Fernández, T. van Hertem, V. Sibony, S. Weyl-Feinstein, A. Verbrugge, M. Bonneau, R. Neilson pp. 287–290 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_7.4 Abstract | Full-text (356 KB)

• Part 8. Precison livestock farming in rumen sensing, feed intake and precise feeding

8.1. Dairy farm evaluation of rumen pH bolus data: identifying the benefits T.T.F. Mottram pp. 291–298 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_8.1 Abstract | References | Full-text (910 KB)

8.2. Biopara-Milk: a whole cow simulation model for the prediction of rumen pH V. Ambriz-Vilchis, R.H. Fawcett, D.J. Shaw, A.I. Macrae, N.S. Jessop pp. 299–306 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_8.2 Abstract | References | Full-text (799 KB)

8.3. Feeding concentrate in early lactation based on rumination time M.V. Byskov, M.R. Weisbjerg, B. Markussen, O. Aaes, P. Nørgaard pp. 307–310 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_8.3 Abstract | References | Full-text (446 KB)

8.4. Ability to estimate feed intake from presence at feeding trough and chewing activity C. Pahl, A. Haeussermann, A. Grothmann, K. Mahlkow-Nerge, E. Hartung pp. 311–318 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_8.4 Abstract | References | Full-text (691 KB)

8.5. Discussion: rumen sensing, feed intake & precise feeding I. Halachmi, A. Schlageter Tello, A. Peña Fernández, T. van Hertem, V. Sibony, S. Weyl-Feinstein, A. Verbrugge, M. Bonneau, R. Neilson pp. 319–322 Published online: June 16, 2015 https://doi.org/10.3920/978-90-8686-815-5_8.5 Abstract | Full-text (483 KB)