Welfare Quality(R)for dairy cows: towards a sensor-based assessment

被引:24
作者
Molina, Francisco Maroto [1 ]
Marin, Carlos C. Perez [2 ]
Moreno, Laura Molina [2 ]
Buendia, Estrella I. Aguera [3 ]
Marin, Dolores C. Perez [1 ]
机构
[1] Univ Cordoba, Sch Agr & Forestry Engn, Dept Anim Prod, Cordoba, Spain
[2] Univ Cordoba, Dept Anim Med & Surg, Fac Vet Sci, Cordoba, Spain
[3] Univ Cordoba, Dept Cellular Biol Physiol & Immunol, Fac Vet Sci, Cordoba, Spain
关键词
Precision livestock farming; sensor integration; social concerns; welfare assessment; LAMENESS DETECTION; LYING BEHAVIOR; FARM-ANIMALS; SYSTEM; TIME; ACCELEROMETERS; AGGREGATION; PREDICTION; PASTURE; PRODUCE;
D O I
10.1017/S002202992000045X
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
This Research Reflection addresses the possibilities for Welfare Quality(R)to evolve from an assessment method based on data gathered on punctual visits to the farm to an assessment method based on sensor data. This approach could provide continuous and objective data, while being less costly and time consuming. Precision Livestock Farming (PLF) technologies enabling the monitorisation of Welfare Quality(R)measures are reviewed and discussed. For those measures that cannot be assessed by current technologies, some options to be developed are proposed. Picturing future dairy farms, the need for multipurpose and non-invasive PLF technologies is stated, in order to avoid an excessive artificialisation of the production system. Social concerns regarding digitalisation are also discussed.
引用
收藏
页码:28 / 33
页数:6
相关论文
共 57 条
[1]   Monitoring cow activity and rumination time for an early detection of heat stress in dairy cow [J].
Abeni, Fabio ;
Galli, Andrea .
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2017, 61 (03) :417-425
[2]  
Almeida T, 2019, FEMEETING LISB PORT
[3]  
[Anonymous], 2009, THESIS
[4]   THE VALIDITY OF PHYSIOLOGICAL AND BEHAVIORAL MEASURES OF ANIMAL-WELFARE [J].
BARNETT, JL ;
HEMSWORTH, PH .
APPLIED ANIMAL BEHAVIOUR SCIENCE, 1990, 25 (1-2) :177-187
[5]   Understanding Cows' Emotions on Farm: Are Eye White and Ear Posture Reliable Indicators? [J].
Battini, Monica ;
Agostini, Anna ;
Mattiello, Silvana .
ANIMALS, 2019, 9 (08)
[6]   Impact of intake water temperatures on reticular temperatures of lactating dairy cows [J].
Bewley, J. M. ;
Grott, M. W. ;
Einstein, M. E. ;
Schutz, M. M. .
JOURNAL OF DAIRY SCIENCE, 2008, 91 (10) :3880-3887
[7]  
Bewley J.M., 2010, The First North American Conference on Precision Dairy Management, P218
[8]   The Welfare Quality® project and beyond: Safeguarding farm animal well-being [J].
Blokhuis, H. J. ;
Veissier, I. ;
Miele, M. ;
Jones, B. .
ACTA AGRICULTURAE SCANDINAVICA SECTION A-ANIMAL SCIENCE, 2010, 60 (03) :129-140
[9]   Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle [J].
Borchers, M. R. ;
Chang, Y. M. ;
Proudfoot, K. L. ;
Wadsworth, B. A. ;
Stone, A. E. ;
Bewley, J. M. .
JOURNAL OF DAIRY SCIENCE, 2017, 100 (07) :5664-5674
[10]   Aggregation of measures to produce an overall assessment of animal welfare. Part 2: analysis of constraints [J].
Botreau, R. ;
Bracke, M. B. M. ;
Perny, R. ;
Butterworth, A. ;
Capdeville, J. ;
Van Reenen, C. G. ;
Veissier, I. .
ANIMAL, 2007, 1 (08) :1188-1197