Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Paudyal, S.
Maunsell, F.
Richeson, J.
Risco, C.
Donovan, A.
and
Pinedo, P.
2016.
Peripartal rumination dynamics and health status in cows calving in hot and cool seasons.
Journal of Dairy Science,
Vol. 99,
Issue. 11,
p.
9057.
Moretti, Riccardo
Biffani, Stefano
Tiezzi, Francesco
Maltecca, Christian
Chessa, Stefania
and
Bozzi, Riccardo
2017.
Rumination time as a potential predictor of common diseases in high-productive Holstein dairy cows.
Journal of Dairy Research,
Vol. 84,
Issue. 4,
p.
385.
Rutten, C.J.
Kamphuis, C.
Hogeveen, H.
Huijps, K.
Nielen, M.
and
Steeneveld, W.
2017.
Sensor data on cow activity, rumination, and ear temperature improve prediction of the start of calving in dairy cows.
Computers and Electronics in Agriculture,
Vol. 132,
Issue. ,
p.
108.
Fadul, Mahmoud
Bogdahn, Christopher
Alsaaod, Maher
Hüsler, Jürg
Starke, Alexander
Steiner, Adrian
and
Hirsbrunner, Gaby
2017.
Prediction of calving time in dairy cattle.
Animal Reproduction Science,
Vol. 187,
Issue. ,
p.
37.
O'Grady, Michael J.
and
O'Hare, Gregory M.P.
2017.
Modelling the smart farm.
Information Processing in Agriculture,
Vol. 4,
Issue. 3,
p.
179.
Borchers, M.R.
Chang, Y.M.
Proudfoot, K.L.
Wadsworth, B.A.
Stone, A.E.
and
Bewley, J.M.
2017.
Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle.
Journal of Dairy Science,
Vol. 100,
Issue. 7,
p.
5664.
Molfino, Juan
Clark, Cameron E. F.
Kerrisk, Kendra L.
and
García, Sergio C.
2017.
Evaluation of an activity and rumination monitor in dairy cattle grazing two types of forages.
Animal Production Science,
Vol. 57,
Issue. 7,
p.
1557.
Krieger, Stefanie
Sattlecker, Georg
Kickinger, Florian
Auer, Wolfgang
Drillich, Marc
and
Iwersen, Michael
2018.
Prediction of calving in dairy cows using a tail-mounted tri-axial accelerometer: A pilot study.
Biosystems Engineering,
Vol. 173,
Issue. ,
p.
79.
Green, A.C.
Johnston, I.N.
and
Clark, C.E.F.
2018.
Invited review: The evolution of cattle bioacoustics and application for advanced dairy systems.
Animal,
Vol. 12,
Issue. 6,
p.
1250.
Saint-Dizier, Marie
and
Chastant-Maillard, Sylvie
2018.
Potential of connected devices to optimize cattle reproduction.
Theriogenology,
Vol. 112,
Issue. ,
p.
53.
Rørvang, Maria Vilain
Nielsen, Birte L.
Herskin, Mette S.
and
Jensen, Margit Bak
2018.
Prepartum Maternal Behavior of Domesticated Cattle: A Comparison with Managed, Feral, and Wild Ungulates.
Frontiers in Veterinary Science,
Vol. 5,
Issue. ,
Reiter, S.
Sattlecker, G.
Lidauer, L.
Kickinger, F.
Öhlschuster, M.
Auer, W.
Schweinzer, V.
Klein-Jöbstl, D.
Drillich, M.
and
Iwersen, M.
2018.
Evaluation of an ear-tag-based accelerometer for monitoring rumination in dairy cows.
Journal of Dairy Science,
Vol. 101,
Issue. 4,
p.
3398.
Paudyal, S.
Maunsell, F.P.
Richeson, J.T.
Risco, C.A.
Donovan, D.A.
and
Pinedo, P.J.
2018.
Rumination time and monitoring of health disorders during early lactation.
Animal,
Vol. 12,
Issue. 7,
p.
1484.
Krieger, Stefanie
Oczak, Maciej
Lidauer, Laura
Berger, Alexandra
Kickinger, Florian
Öhlschuster, Manfred
Auer, Wolfgang
Drillich, Marc
and
Iwersen, Michael
2019.
An ear-attached accelerometer as an on-farm device to predict the onset of calving in dairy cows.
Biosystems Engineering,
Vol. 184,
Issue. ,
p.
190.
Hou, Shuai
Cheng, Xiaodong
and
Han, Mingshu
2020.
Mobile Wireless Middleware, Operating Systems and Applications.
Vol. 331,
Issue. ,
p.
131.
Keceli, Ali Seydi
Catal, Cagatay
Kaya, Aydin
and
Tekinerdogan, Bedir
2020.
Development of a recurrent neural networks-based calving prediction model using activity and behavioral data.
Computers and Electronics in Agriculture,
Vol. 170,
Issue. ,
p.
105285.
Islam, Md Ashraful
Lomax, Sabrina
Doughty, Amanda K.
Islam, Mohammed R.
and
Clark, Cameron E. F.
2020.
Automated Monitoring of Panting for Feedlot Cattle: Sensor System Accuracy and Individual Variability.
Animals,
Vol. 10,
Issue. 9,
p.
1518.
Miller, G.A.
Mitchell, M.
Barker, Z.E.
Giebel, K.
Codling, E.A.
Amory, J.R.
Michie, C.
Davison, C.
Tachtatzis, C.
Andonovic, I.
and
Duthie, C.-A.
2020.
Using animal-mounted sensor technology and machine learning to predict time-to-calving in beef and dairy cows.
Animal,
Vol. 14,
Issue. 6,
p.
1304.
Khatun, Momena
Thomson, Peter C.
Clark, Cameron E. F.
and
García, Sergio C.
2020.
Prediction of quarter level subclinical mastitis by combining in-line and on-animal sensor data.
Animal Production Science,
Vol. 60,
Issue. 1,
p.
180.
Gusterer, Erika
Kanz, Peter
Krieger, Stefanie
Schweinzer, Vanessa
Süss, David
Lidauer, Laura
Kickinger, Florian
Öhlschuster, Manfred
Auer, Wolfgang
Drillich, Marc
and
Iwersen, Michael
2020.
Sensor technology to support herd health monitoring: Using rumination duration and activity measures as unspecific variables for the early detection of dairy cows with health deviations.
Theriogenology,
Vol. 157,
Issue. ,
p.
61.