Development and validation of a predictive model for calving time based on sensor measurements of ingestive behavior in dairy cows

Computers and Electronics in Agriculture - Tập 161 - Trang 62-71 - 2019
Nils Zehner1, Joël J. Niederhauser2, Matthias Schick3, Christina Umstatter1
1Agroscope, Research Division Competitiveness and System Evaluation, Tänikon 1, 8356 Ettenhausen, Switzerland
2InnoClever GmbH, Tiergartenstrasse 7, 4410 Liestal, Switzerland
3University of Hohenheim, Institute of Agricultural Engineering, Garbenstrasse 9, 70599 Stuttgart, Germany

Tài liệu tham khảo

Bayes, 1763, 370 Beer, 2016, Use of extended characteristics of locomotion and feeding behavior for automated identification of lame dairy cows, PloS One, 11, e0155796, 10.1371/journal.pone.0155796 Berglund, 1987, External signs of preparation of calving and course of parturition in Swedish dairy cattle breeds, Anim. Reprod. Sci., 15, 61, 10.1016/0378-4320(87)90006-6 Bewick, 2004, Statistics review 13: receiver operating characteristic curves, Crit. Care, 8, 508, 10.1186/cc3000 Braun, 2014, Evaluation of eating and rumination behaviour using a noseband pressure sensor in cows during the peripartum period, BMC Vet. Res., 10, 195, 10.1186/s12917-014-0195-6 Büchel, 2014, Short communication: decrease in rumination time as an indicator of the onset of calving, J. Dairy Sci., 97, 3120, 10.3168/jds.2013-7613 Burfeind, 2011, Validity of prepartum changes in vaginal and rectal temperature to predict calving in dairy cows, J. Dairy Sci., 94, 5053, 10.3168/jds.2011-4484 De Mol, 2001, Application of fuzzy logic in automated cow status monitoring, J. Dairy Sci., 84, 400, 10.3168/jds.S0022-0302(01)74490-6 Detilleux, 1999, Methods for estimating areas under receiver-operating characteristic curves: illustration with somatic-cell scores in subclinical intramammary infections, Prev. Vet. Med., 41, 75, 10.1016/S0167-5877(99)00054-9 Domingos, 1997, On the optimality of the simple Bayesian classifier under zero-one loss, Mach. Learn., 29, 103, 10.1023/A:1007413511361 Dominiak, 2017, Prioritizing alarms from sensor-based detection models in livestock production – a review on model performance and alarm reducing methods, Comput. Electron. Agric., 133, 46, 10.1016/j.compag.2016.12.008 Fan, 2006, Understanding receiver operating characteristic (ROC) curves, Can. J. Emerg. Med., 8, 19, 10.1017/S1481803500013336 Hogeveen, 2010, Sensors and clinical mastitis - the quest for the perfect alert, Sensors, 10, 7991, 10.3390/s100907991 Langley, 1994, Induction of selective Bayesian classifiers, 399 Metz, 1978, Basic principles of ROC analysis, Semin. Nucl. Med., 8, 283, 10.1016/S0001-2998(78)80014-2 Miedema, 2011, Behavioural predictors of the start of normal and dystocic calving in dairy cows and heifers, Appl. Ani. Behav. Sci., 132, 14, 10.1016/j.applanim.2011.03.003 Miedema, 2011, Changes in the behaviour of dairy cows during the 24h before normal calving compared with behaviour during late pregnancy, Appl. Ani. Behav. Sci., 131, 8, 10.1016/j.applanim.2011.01.012 Mollenhorst, 2012, Mastitis alert preferences of farmers milking with automatic milking systems, J. Dairy Sci., 95, 2523, 10.3168/jds.2011-4993 Ouellet, 2016, Evaluation of calving indicators measured by automated monitoring devices to predict the onset of calving in Holstein dairy cows, J. Dairy Sci., 99, 1539, 10.3168/jds.2015-10057 Pahl, 2014, Rumination activity of dairy cows in the 24 hours before and after calving, J. Dairy Sci., 97, 6935, 10.3168/jds.2014-8194 Palombi, 2013, Evaluation of remote monitoring of parturition in dairy cattle as a new tool for calving management, BMC Vet. Res., 9, 191, 10.1186/1746-6148-9-191 Parkinson, 2001, Chapter 6 - Parturition and the care of parturient animals, 155 Proudfoot, 2013, Effect of moving dairy cows at different stages of labor on behavior during parturition, J. Dairy Sci., 96, 1638, 10.3168/jds.2012-6000 Ramoni, 2001, Robust Bayes classifiers, Artif. Intell., 125, 209, 10.1016/S0004-3702(00)00085-0 Rish, 2001, An empirical study of the naive Bayes classifier, 41 Rutten, 2017, Sensor data on cow activity, rumination, and ear temperature improve prediction of the start of calving in dairy cows, Comput. Electron. Agric., 132, 108, 10.1016/j.compag.2016.11.009 Schirmann, 2013, Short communication: rumination and feeding behavior before and after calving in dairy cows, J. Dairy Sci., 96, 7088, 10.3168/jds.2013-7023 Schuenemann, 2011, Assessment of calving progress and reference times for obstetric intervention during dystocia in Holstein dairy cows, J. Dairy Sci., 94, 5494, 10.3168/jds.2011-4436 Silva, 2013, Comparative assessment of feature selection and classification techniques for visual inspection of pot plant seedlings, Comput. Electron. Agric., 97, 47, 10.1016/j.compag.2013.07.001 Steensels, 2016, A decision-tree model to detect post-calving diseases based on rumination, activity, milk yield, BW and voluntary visits to the milking robot, Animal, 10, 1493, 10.1017/S1751731116000744 Streyl, 2011, Establishment of a standard operating procedure for predicting the time of calving in cattle, J. Vet. Sci., 12, 177, 10.4142/jvs.2011.12.2.177 Youden, 1950, Index for rating diagnostic tests, Cancer, 3, 32, 10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3 Zehner, N., Niederhauser, J.J., Nydegger, F., Grothmann, A., Keller, M., Hoch, M., Schick, M., 2012. Validation of a new health monitoring system (RumiWatch) for combined automatic measurement of rumination, feed intake, water intake and locomotion in dairy cows. In: Proceedings of International Conference of Agricultural Engineering CIGR-Ageng 2012, p. C0438. Zehner, 2017, System specification and validation of a noseband pressure sensor for measurement of ruminating and eating behavior in stable-fed cows, Comput. Electron. Agric., 136, 31, 10.1016/j.compag.2017.02.021 Zhang, 2006, Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data, Knowl. Inf. Syst., 9, 157, 10.1007/s10115-005-0211-z Zweig, 1993, Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine, Clin. Chem., 39, 561, 10.1093/clinchem/39.4.561