Cargando…
Predicting Subclinical Ketosis in Dairy Cows Using Machine Learning Techniques
SIMPLE SUMMARY: The maintenance of cows in good health and physical condition is an important component of dairy cattle management. One of the major metabolic disorders in dairy cows is subclinical ketosis. Due to financial and organizational reasons it is often impossible to test all cows in a herd...
Autores principales: | Satoła, Alicja, Bauer, Edyta Agnieszka |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300340/ https://www.ncbi.nlm.nih.gov/pubmed/34359259 http://dx.doi.org/10.3390/ani11072131 |
Ejemplares similares
-
Estimating the combined costs of clinical and subclinical ketosis in dairy cows
por: Steeneveld, Wilma, et al.
Publicado: (2020) -
Relation of Subclinical Ketosis of Dairy Cows with Locomotion Behaviour and Ambient Temperature
por: Antanaitis, Ramūnas, et al.
Publicado: (2020) -
The Use of Multilayer Perceptron Artificial Neural Networks to Detect Dairy Cows at Risk of Ketosis
por: Bauer, Edyta A., et al.
Publicado: (2022) -
Combination of Sensor Data and Health Monitoring for Early Detection of Subclinical Ketosis in Dairy Cows
por: Sturm, Valentin, et al.
Publicado: (2020) -
Expert opinion as priors for random effects in Bayesian prediction models: Subclinical ketosis in dairy cows as an example
por: Ni, Haifang, et al.
Publicado: (2021)