A. Jabbar, K. Hansen, M. F. Smith, M. L. Smith, and L. N. , Early and non-intrusive lameness detection in dairy cows using 3-dimensional video, Biosystems Engineering, vol.153, pp.63-69, 2017.

C. Allain, A. Chanvallon, P. Clement, R. Guatteo, and N. Bareille, Elevage de précision : périmètre, applications et perspectives en élevage bovin, Renc. Rech. Rumiants, pp.3-10, 2014.

C. Allain, A. Philibert, B. Frappat, P. Poitevin, Q. P. Lafont et al., ETUDE CONNECTIVITE -2015 Quels sont les attentes et besoins en connectivité des élevages bovins laitiers ? Institut de l'élevage, 2015.

D. Anglart, Automatic estimation of body weight and body condition score in dairy cows using 3D imaging technique. Swedish University of Agricultural Sciences Faculty of VeterinaryMedicine and Animal Science, Suède, 30 + annexes, 2010.

G. Banos, M. P. Coffey, and S. Brotherstone, Modeling Daily Energy Balance of Dairy Cows in the First Three Lactations, Journal of Dairy Science, vol.88, pp.2226-2237, 2005.

S. Bazin, P. Augeard, M. Carteau, Y. Chilliard, G. Cuylle et al., Grille de notation de l'état d'engraissement des vaches Pie Noires, p.31, 1984.

M. Beillevert, Analyse del'effet de l'âge au 1er vêlage sur les performances de la génisse et de la vache laitière de races Holstein et Normande. ESA d'Angers (49), 50 + annexes, 2013.

J. M. Bewley, A. M. Peacock, O. Lewis, R. E. Boyce, D. J. Roberts et al., Potential for Estimation of Body Condition Scores in Dairy Cattle from Digital Images, Journal of Dairy Science, vol.91, pp.3439-3453, 2008.

J. Fox and S. Weisberg, An {R} Companion to Applied Regression. Sage, 2011.

N. C. Friggens, V. M. Thorup, and D. Edwards, Estimation à la ferme du bilan énergétique des vaches laitières à l'aide des mesures fréquentes de poids vif et de note d'état corporel, Renc. Rech. Rumiants, vol.18, pp.39-42, 2011.

M. F. Hansen, M. L. Smith, L. N. Smith, A. Jabbar, K. Forbes et al., Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device, Computers in Industry, vol.98, pp.14-22, 2018.

Y. Kuzuhara, K. Kawamura, R. Yoshitoshi, T. Tamaki, S. Sugai et al., A preliminarily study for predicting body weight and milk properties in lactating Holstein cows using a three-dimensional camera system, Computers and Electronics in Agriculture, vol.111, pp.186-193, 2015.

L. Cozler, Y. Allain, C. Caillot, A. Delouard, J. M. Delattre et al., Highprecision scanning system for complete 3D cow body shape imaging and analysis of morphological traits, Computers and Electronics in Agriculture, vol.157, pp.447-453, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02000874

S. Lê, J. Josse, and F. Husson, FactoMineR : An R Package for Multivariate Analysis, Journal of Statistical Software, vol.25, pp.1-18, 2008.

P. Løvendahl, G. F. Difford, B. Li, M. Chagunda, P. Huhtanen et al., Review : Selecting for improved feed efficiency and reduced methane emissions in dairy cattle, animal, vol.12, pp.336-349, 2018.

J. A. Marchant and C. P. Schofield, Extending the snake image processing algorithm for outlining pigs in scenes, Computers and Electronics in Agriculture, vol.8, pp.261-275, 1993.

P. Negretti, G. Bianconi, S. Bartocci, S. Terramoccia, and M. Verna, Determination of live weight and body condition score in lactating Mediterranean buffalo by Visual Image Analysis, Livestock Science, vol.113, pp.1-7, 2008.

J. Pinheiro, D. Bates, S. Debroy, D. Sarkar, and . Core, , 2018.

S. B. Potts, J. P. Boerman, A. L. Lock, M. S. Allen, and M. J. Vandehaar, Relationship between residual feed intake and digestibility for lactating Holstein cows fed high and low starch diets, Journal of Dairy Science, vol.100, pp.265-278, 2017.

R. Core, R : A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2018.

B. Rémond, Evolution du poids du contenu du réticulo-rumen chez les vaches laitières au cours des deux premiers mois de la lactation, Reproduction Nutrition Développement, vol.28, pp.109-110, 1988.

A. G. Rius, S. Kittelmann, K. A. Macdonald, G. C. Waghorn, P. H. Janssen et al., Nitrogen metabolism and rumen microbial enumeration in lactating cows with divergent residual feed intake fed high-digestibility pasture, Journal of Dairy Science, vol.95, pp.5024-5034, 2012.

A. Schlageter-tello, T. Van-hertem, E. Bokkers, S. Viazzi, C. Bahr et al., Performance of human observers and an automatic 3-dimensional computer-visionbased locomotion scoring method to detect lameness and hoof lesions in dairy cows, Journal of Dairy Science, vol.101, pp.6322-6335, 2018.

X. Song, E. Bokkers, P. Van-der-tol, G. Koerkamp, and P. Et-van-mourik, Automated body weight prediction of dairy cows using 3-dimensional vision, Journal of Dairy Science, vol.101, pp.4448-4459, 2018.

V. M. Thorup, D. Edwards, and N. C. Friggens, On-farm estimation of energy balance in dairy cows using only frequent body weight measurements and body condition score, Journal of Dairy Science, vol.95, pp.1784-1793, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01186804

T. Van-hertem, C. Bahr, S. Tello, A. Viazzi, S. Steensels et al., Lameness detection in dairy cattle : single predictor v. multivariate analysis of image-based posture processing and behaviour and performance sensing, Animal, vol.10, pp.1525-1532, 2016.

T. Van-hertem, S. Viazzi, M. Steensels, E. Maltz, A. Antler et al., Automatic lameness detection based on consecutive 3D-video recordings, Biosystems Engineering, vol.119, pp.108-116, 2014.

S. Viazzi, C. Bahr, T. Van-hertem, A. Schlageter-tello, C. Romanini et al., Comparison of a three-dimensional and two-dimensional camera system for automated measurement of back posture in dairy cows, Computers and Electronics in Agriculture, vol.100, pp.139-147, 2014.