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

  • I. Halachmi (a1) and M. Guarino (a2)
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Abstract
Copyright
Corresponding author
Email: halachmi@volcani.agri.gov.il
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

I Fontana , E Tullo , A Butterworth and M Guarino 2015. An innovative approach to predict the growth in intensive poultry farming. Computers and Electronics in Agriculture 119, 178183.

I Fontana , E Tullo , A Scrase and A Butterworth 2016. Vocalisation sound pattern identification in young broiler chickens. Animal 10, 15671574.

I Halachmi 2004. Designing the automatic milking farm in a hot climate. Journal of Dairy Science 87, 764775.

I Halachmi 2015. Precision livestock farming applications. Wageningen Academic Publishers, Wageningen, The Netherlands.

I Halachmi , YB Meir , J Miron and E Maltz 2016. Feeding behavior improves prediction of dairy cow voluntary feed intake but cannot serve as the sole indicator. Animal 10, 15011506.

G Hoffmann , M Schmidt and C Ammon 2016. First investigations to refine video-based infrared thermography as a non-invasive tool to monitor the body temperature of calves. Animal 10, 15421546.

AJ John , CEF Clark , MJ Freeman , KL Kerrisk , SC Garcia and I Halachmi 2016. Review: milking robot utilization – a successful precision livestock farming evolution. Animal 10, 14841492.

D Johnston , DA Kenny , AK Kelly , MS McCabe , M McGee , SM Waters and B Earley 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.

J Maselyne , I Adriaens , T Huybrechts , B De Ketelaere , S Millet , J Vangeyte , A Van Nuffel and W Saeys 2016. Measuring the drinking behaviour of individual pigs housed in group using radio frequency identification. Animal 10, 15571566.

M Nilsson , A Herlin , H Ardö , O Guzhva , K Åström and C Bergsten 2015. Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique. Animal 9, 18591865.

C Pahl , E Hartung , A Grothmann , K Mahlkow-Nerge and A Haeussermann 2016. Suitability of feeding and chewing time for estimation of feed intake in dairy cows. Animal 10, 15071512.

J Salau , JH Haas , G Thaller , M Leisen and W Junge 2016. Developing a multi-Kinect-system for monitoring in dairy cows: object recognition and surface analysis using wavelets. Animal 10, 15131524.

M Steensels , A Antler , C Bahr , D Berckmans , E Maltz and I Halachmi 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.

T Van Hertem , C Bahr , AS Tello , S Viazzi , M Steensels , C Romanini , C Lokhorst , E Maltz , I Halachmi and D Berckmans 2016. Lameness detection in dairy cattle: single predictor v. multivariate analysis of image-based posture processing and behaviour and performance sensing. Animal 10, 15251532.

A Van Nuffel , T van De Gucht , W Saeys , B Sonck , G Opsomer , J Vangeyte , KC Mertens , B De Ketelaere and S Van Weyenberg 2016. Environmental and cow-related factors affect cow locomotion and can cause misclassification in lameness detection systems. Animal 10, 15331541.

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animal
  • ISSN: 1751-7311
  • EISSN: 1751-732X
  • URL: /core/journals/animal
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