His primary scientific interests are in Animal science, Statistics, Herd, Dairy cattle and Veterinary medicine. His Animal science research focuses on Weaning in particular. His study in the field of Akaike information criterion, Gompertz function, Monte Carlo method and Statistical power also crosses realms of Local spread.
His studies in Dairy cattle integrate themes in fields like Dairy farming, Multivariate analysis, Estrous cycle and Milk yield. His Milk yield research incorporates elements of Threshold limit value, Milking and Dry matter. His Veterinary medicine research is multidisciplinary, incorporating elements of Odds ratio, Dominance and Pet therapy, Animal-assisted therapy.
Joachim Krieter spends much of his time researching Animal science, Statistics, Veterinary medicine, Herd and Weaning. The Animal science study combines topics in areas such as Lactation and Animal welfare. His work in the fields of Statistics, such as Centrality, Reliability, Spearman's rank correlation coefficient and CUSUM, intersects with other areas such as Trade network.
His work on Betweenness centrality as part of general Centrality research is frequently linked to Network analysis and Supply chain, thereby connecting diverse disciplines of science. His Veterinary medicine research focuses on Animal-assisted therapy and how it connects with HUBzero. The various areas that Joachim Krieter examines in his Herd study include Dairy cattle, Automatic milking and Incidence.
The scientist’s investigation covers issues in Statistics, Animal science, Animal welfare, Tail-biting and Reliability. Joachim Krieter interconnects Dairy cattle and Milking in the investigation of issues within Statistics. His Dairy cattle research includes elements of Multivariate statistics, Herd, Partial least squares regression and Principal component analysis.
His Milking research incorporates elements of Betweenness centrality and Morning. The Animal science study combines topics in areas such as Post partum and Lactation. His Animal welfare research is multidisciplinary, relying on both Segmentation, Convolutional neural network, Artificial intelligence and Cognitive psychology.
Joachim Krieter mainly investigates Statistics, Centrality, Animal science, Tail-biting and Agonistic behaviour. The various areas that he examines in his Statistics study include Milking and Animal welfare. His studies in Milking integrate themes in fields like Betweenness centrality, Dairy cattle, Herd and Morning.
His Animal science study incorporates themes from Lameness and Period. The concepts of his Lameness study are interwoven with issues in Reliability and Intraclass correlation. His Rank correlation study combines topics from a wide range of disciplines, such as Quality and Dyad.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Automation of oestrus detection in dairy cows: a review
R Firk;E Stamer;W Junge;J Krieter.
Livestock Production Science (2002)
A review on fish growth calculation: multiple functions in fish production and their specific application
Vincent Lugert;Georg Thaller;Jens Tetens;Carsten Schulz.
Reviews in Aquaculture (2016)
Nest-building behaviour in sows and consequences for pig husbandry
Diane Wischner;Nicole Kemper;Joachim Krieter.
Livestock Science (2009)
Agonistic behaviour after mixing in pigs under commercial farm conditions
Andreas Stukenborg;Imke Traulsen;Birger Puppe;Ulrich Presuhn.
Applied Animal Behaviour Science (2011)
Mastitis detection in dairy cows by application of neural networks
D. Cavero;K.-H. Tölle;C. Henze;C. Buxadé.
Livestock Science (2008)
Static network analysis of a pork supply chain in Northern Germany-Characterisation of the potential spread of infectious diseases via animal movements.
Kathrin Büttner;Joachim Krieter;Arne Traulsen;Imke Traulsen.
Preventive Veterinary Medicine (2013)
Life Cycle Assessment of pork production: A data inventory for the case of Germany
K. Reckmann;I. Traulsen;J. Krieter.
Livestock Science (2013)
Mastitis detection in dairy cows by application of fuzzy logic
D. Cavero;K.-H. Tölle;C. Buxadé;J. Krieter.
Livestock Science (2006)
Environmental Impact Assessment--methodology with special emphasis on European pork production.
K. Reckmann;I. Traulsen;J. Krieter.
Journal of Environmental Management (2012)
Improving oestrus detection by combination of activity measurements with information about previous oestrus cases
R. Firk;E. Stamer;W. Junge;J. Krieter.
Livestock Production Science (2003)
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