Skip to main content Accessibility help
×
Home

Editorial: Precision livestock farming: a ‘per animal’ approach using advanced monitoring technologies

  • I. Halachmi (a1) and M. Guarino (a2)
  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Editorial: Precision livestock farming: a ‘per animal’ approach using advanced monitoring technologies
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Editorial: Precision livestock farming: a ‘per animal’ approach using advanced monitoring technologies
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Editorial: Precision livestock farming: a ‘per animal’ approach using advanced monitoring technologies
      Available formats
      ×

Abstract

  • An abstract is not available for this content so a preview has been provided below. To view the full text please use the links above to select your preferred format.

Copyright

Corresponding author

References

Hide All
Berckmans, D 2004. Automatic on-line monitoring of animals by precision livestock farming. Proceedings of the ISAH Conference on Animal Production in Europe: The Way Forward in a Changing World, Saint-Malo, France, pp. 27–31.
Brayer, E 1982. Control apparatus for milking machines. Issued by International US4348984 A Assignment S.C.R. Engineers Ltd, 4 September 1980, USA.
Fontana, I, Tullo, E, Butterworth, A and Guarino, M 2015. An innovative approach to predict the growth in intensive poultry farming. Computers and Electronics in Agriculture 119, 178183.
Fontana, I, Tullo, E, Scrase, A and Butterworth, A 2016. Vocalisation sound pattern identification in young broiler chickens. Animal 10, 15671574.
Halachmi, I 2004. Designing the automatic milking farm in a hot climate. Journal of Dairy Science 87, 764775.
Halachmi, I 2015. Precision livestock farming applications. Wageningen Academic Publishers, Wageningen, The Netherlands.
Halachmi, I, Meir, YB, Miron, J and Maltz, E 2016. Feeding behavior improves prediction of dairy cow voluntary feed intake but cannot serve as the sole indicator. Animal 10, 15011506.
Hoffmann, G, Schmidt, M and Ammon, C 2016. First investigations to refine video-based infrared thermography as a non-invasive tool to monitor the body temperature of calves. Animal 10, 15421546.
John, AJ, Clark, CEF, Freeman, MJ, Kerrisk, KL, Garcia, SC and Halachmi, I 2016. Review: milking robot utilization – a successful precision livestock farming evolution. Animal 10, 14841492.
Johnston, D, Kenny, DA, Kelly, AK, McCabe, MS, McGee, M, Waters, SM and Earley, B 2016. Characterisation of haematological profiles and whole blood relative gene expression levels in Holstein-Friesian and Jersey bull calves undergoing gradual weaning. Animal 10, 15471556.
Marcon, M, Brossard, L and Quiniou, N 2015. Precision feeding based on individual daily body weight of group housed pigs with an automatic feeder developed to allow for restricting feed allowance. In Precision livestock farming 15 (ed. M Guarino and D Berckmans), pp. 592601. Milan, Italy.
Maselyne, J, Adriaens, I, Huybrechts, T, De Ketelaere, B, Millet, S, Vangeyte, J, Van Nuffel, A and Saeys, W 2016. Measuring the drinking behaviour of individual pigs housed in group using radio frequency identification. Animal 10, 15571566.
Nilsson, M, Herlin, A, Ardö, H, Guzhva, O, Åström, K and Bergsten, C 2015. Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique. Animal 9, 18591865.
Pahl, C, Hartung, E, Grothmann, A, Mahlkow-Nerge, K and Haeussermann, A 2016. Suitability of feeding and chewing time for estimation of feed intake in dairy cows. Animal 10, 15071512.
Peles, E 1978. Liquid Meter. Issued by tAGa IP Australia International Au1978041401 Assignment Afikim. 7 November 1978, Australia.
Salau, J, Haas, JH, Thaller, G, Leisen, M and Junge, W 2016. Developing a multi-Kinect-system for monitoring in dairy cows: object recognition and surface analysis using wavelets. Animal 10, 15131524.
Schmilovitch, Z, Katz, G, Maltz, E, Kutscher, MI, Sarig, M, Halachmi, I, Hoffman, A, Egozi, H and Uner, E 2007. Spectroscopic fluid analyzer. Issued by US Patent 7, 237 International US Patent App. 09/996,625, 2001 Assignment Afimilk. 2001, USA.
Steensels, M, Antler, A, Bahr, C, Berckmans, D, Maltz, E and Halachmi, I 2016. A decision-tree model to detect post-calving diseases based on rumination, activity, milk yield, body weight and voluntary visits to the milking robot. Animal 10, 14931500.
Van Hertem, T, Bahr, C, Tello, AS, Viazzi, S, Steensels, M, Romanini, C, Lokhorst, C, Maltz, E, Halachmi, I and Berckmans, D 2016. Lameness detection in dairy cattle: single predictor v. multivariate analysis of image-based posture processing and behaviour and performance sensing. Animal 10, 15251532.
Van Nuffel, A, van De Gucht, T, Saeys, W, Sonck, B, Opsomer, G, Vangeyte, J, Mertens, KC, De Ketelaere, B and Van Weyenberg, S 2016. Environmental and cow-related factors affect cow locomotion and can cause misclassification in lameness detection systems. Animal 10, 15331541.

Editorial: Precision livestock farming: a ‘per animal’ approach using advanced monitoring technologies

  • I. Halachmi (a1) and M. Guarino (a2)

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed