Acknowledgement
This paper is using material from different projects subsidized by the Flemish Region and European projects done under the Horizon program.
References
- Blokhuis HJ, Ekkel ED, Korte SM, Hopster H, van Reenen CG. Farm animal welfare research in interaction with society. Vet Q 2000;22:217-22. https://doi.org/10.1080/01652176.2000.9695062
- Pettibone CA, Scott NR. Relationship of temperatures in the cervical blood vessels to brain temperatures in chickens. Trans ASAE 1976;19:0736-42. https://doi.org/10.13031/2013.36107
- Rothschild MF, Bodoh GW, Pearson RE, Miller RH. Sources of variation in quarter milk flow measures. J Dairy Sci 1980;63:1138-44. https://doi.org/10.3168/jds.S0022-0302(80)83059-1
- Kettlewell PJ, Mitchell MA, Meeks IR. An implantable radio-telemetry system for remote monitoring of heart rate and deep body temperature in poultry. Comput Electron Agric 1997;17:161-75. https://doi.org/10.1016/S0168-1699(96)01302-6
- Berckmans D. Automatic on-line monitoring of animals by precision livestock farming. In: Geers R, Madec F, editors. Livestock production and society. Brill; 2006. pp. 287-94.
- Wathes CM, Kristensen HH, Aerts JM, Berckmans D. Is precision livestock farming an engineer's daydream or nightmare, an animal's friend or foe, and a farmer's panacea or pitfall? In: Cox S, editor. Precision livestock farming '05. Brill; 2005. pp. 33-46.
- Rosling H, Rönnlund AR, Rosling O. Factfulness: ten reasons we're wrong about the world and why things are better than you think. Flatiron Books; 2018.
- Bezen R, Edan Y, Halachmi I. Computer vision system for measuring individual cow feed intake using RGB-D camera and deep learning algorithms. Comput Electron Agric 2020;172:105345. https://doi.org/10.1016/j.compag.2020.105345
- Aydin A, Bahr C, Viazzi S, Exadaktylos V, Buyse J, Berckmans D. A novel method to automatically measure the feed intake of broiler chickens by sound technology. Comput Electron Agric 2014;101:17-23. https://doi.org/10.1016/j.compag.2013.11.012
- Ducatelle R, Goossens E, De Meyer F, et al. Biomarkers for monitoring intestinal health in poultry: present status and future perspectives. Vet Res 2018;49:43. https://doi.org/10.1186/s13567-018-0538-6
- Tullo E, Finzi A, Guarino M. Review: environmental impact of livestock farming and precision livestock farming as a mitigation strategy. Sci Total Environ 2019;650:2751-60. https://doi.org/10.1016/j.scitotenv.2018.10.018
- Van Hirtum A, Berckmans D, Ruano AE, Ruano MG, Fleming PJ. Intelligent free field cough sound recognition. In: Proceedings of the International Conference on Intelligent Control Systems and Signal Processing (ICONS'03); 2003 Apr 8-11; Faro, Portugal. Pergamon; 2003. pp. 453-8.
- Exadaktylos V, Silva M, Ferrari S, et al. Time-series analysis for online recognition and localization of sick pig (Sus scrofa) cough sounds. J Acoust Soc Am 2008;124:3803-9. https://doi.org/10.1121/1.2998780
- Vranken E, Berckmans D. Precision livestock farming for pigs. Anim Front 2017;7:32-7. https://doi.org/10.2527/af.2017.0106
- Viazzi S, Ismayilova G, Oczak M, et al. Image feature extraction for classification of aggressive interactions among pigs. Comput Electron Agric 2014;104:57-62. https://doi.org/10.1016/j.compag.2014.03.010
- Ismayilova G, Sonoda L, Fels M, et al. Acoustic-reward learning as a method to reduce the incidence of aggressive and abnormal behaviours among newly mixed piglets. Anim Prod Sci 2014;54:1084-90. https://doi.org/10.1071/AN13202
- Viazzi S, Bahr C, Schlageter-Tello A, et al. Analysis of individual classification of lameness using automatic measurement of back posture in dairy cattle. J Dairy Sci 2013;96:257-66. https://doi.org/10.3168/jds.2012-5806
- Viazzi S, Bahr C, Van Hertem T, et al. Comparison of a three-dimensional and two-dimensional camera system for automated measurement of back posture in dairy cows. Comput Electron Agric 2014;100:139-47. https://doi.org/10.1016/j.compag.2013.11.005
- Morrison SR, Heitman Jr. H, Bond TE. Effect of humidity on swine at temperatures above optimum. Int J Biometeorol 1969;13:135-9. https://doi.org/10.1007/BF01552734
- Sugahaea M, Baker DH, Harmon BG, Jensen AH. Effect of ambient temperature on performance and carcass development in young swine. J Anim Sci 1970;31:59-62. https://doi.org/10.2527/jas1970.31159x
- Holmes CW, McLean NR. The effect of low ambient temperatures on the energy metabolism of sows. Anim Sci 1974;19:1-12. https://doi.org/10.1017/S0003356100022534
- Dauncey ML, Ingram DL, Walters DE, Legge KF. Evaluation of the effects of environmental temperature and nutrition on growth and development. J Agric Sci 1983;101:291-9. https://doi.org/10.1017/S0021859600037588
- Huynh TTT. Heat stress in growing pigs [dissertation]. Wageningen University & Research; 2005.
- BioRICS. BioRICS reveals what your body already knew [Internet]. BioRICS; 2026 [cited 2026 Feb 1]. Available from: https://www.biorics.com
- Joosen P, Norton T, Marchant-Ford J, Berckmans D. Animal welfare monitoring by real-time physiological signals. Prec Livest Farm 2019;19:337-44.
- Kashiha M, Bahr C, Ott S, et al. Automatic weight estimation of individual pigs using image analysis. Comput Electron Agric 2014;107:38-44. https://doi.org/10.1016/j.compag.2014.06.003
- Vranken E, Chedad A, Aerts JM, Berckmans D. Improving the accuracy of automatic broiler weighing by image analysis. In: Cox S, editor. Precision livestock farming '05. Brill; 2005. pp. 265-71.
- Berckmans D, Aerts JM, Van Buggenhout S. Controlling growth of broiler chickens on-line, based on a compact predictive growth model. In: Cox S, editor. Precision livestock farming. Brill; 2003. pp. 27-32.
- Aerts JM, Van Buggenhout S, Vranken E, et al. Active control of the growth trajectory of broiler chickens based on online animal responses. Poult Sci 2003;82:1853-62. https://doi.org/10.1093/ps/82.12.1853
- Aerts JM, Gebruers F, Van Camp E, Berckmans D. Controlling horse heart rate as a basis for training improvement. Comput Electron Agric 2008;64:78-84. https://doi.org/10.1016/j.compag.2008.05.001