相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Beef cattle responses to pre-grazing sward height and low level of energy supplementation on tropical pastures
Joao R. R. Dorea et al.
JOURNAL OF ANIMAL SCIENCE (2020)
Dairy cattle behavior classifications based on decision tree learning using 3-axis neck-mounted accelerometers
Tomoya Tamura et al.
ANIMAL SCIENCE JOURNAL (2019)
Classification of multiple cattle behavior patterns using a recurrent neural network with long short-term memory and inertial measurement units
Yingqi Peng et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Identification of the Rumination in Cattle Using Support Vector Machines with Motion-Sensitive Bolus Sensors
Andrew W. Hamilton et al.
SENSORS (2019)
Validation strategy can result in an overoptimistic view of the ability of milk infrared spectra to predict methane emission of dairy cattle
Qiuyu Wang et al.
JOURNAL OF DAIRY SCIENCE (2019)
Predicting the dry matter intake of grazing dairy cows using infrared reflectance spectroscopy analysis
B. Lahart et al.
JOURNAL OF DAIRY SCIENCE (2019)
Assessment of digital technology adoption and access barriers among crop, dairy and livestock producers in Wisconsin
Jessica L. Drewry et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Behavior classification of goats using 9-axis multi sensors: The effect of imbalanced datasets on classification performance
Koki Sakai et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Evaluation of pre-processing methods for the prediction of cattle behaviour from accelerometer data
L. Riaboff et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Machine learning for inferring animal behavior from location and movement data
Guiming Wang
ECOLOGICAL INFORMATICS (2019)
Classification of sheep urination events using accelerometers to aid improved measurements of livestock contributions to nitrous oxide emissions
Lucy Lush et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agriculture
Gota Morota et al.
JOURNAL OF ANIMAL SCIENCE (2018)
Mining data from milk infrared spectroscopy to improve feed intake predictions in lactating dairy cows
J. R. R. Dorea et al.
JOURNAL OF DAIRY SCIENCE (2018)
Development and application of a machine learning algorithm for classification of elasmobranch behaviour from accelerometry data
L. R. Brewster et al.
MARINE BIOLOGY (2018)
Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle
M. R. Borchers et al.
JOURNAL OF DAIRY SCIENCE (2017)
Prediction and validation of residual feed intake and dry matter intake in Danish lactating dairy cows using mid-infrared spectroscopy of milk
N. Shetty et al.
JOURNAL OF DAIRY SCIENCE (2017)
Applications of machine learning in animal behaviour studies
John Joseph Valletta et al.
ANIMAL BEHAVIOUR (2017)
Using a three-axis accelerometer to identify and classify sheep behaviour at pasture
F. A. P. Alvarenga et al.
APPLIED ANIMAL BEHAVIOUR SCIENCE (2016)
Behavior classification of cows fitted with motion collars: Decomposing multi-class classification into a set of binary problems
Daniel Smith et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2016)
Correcting for Optimistic Prediction in Small Data Sets
Gordon C. S. Smith et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2014)
Invited review: Sensors to support health management on dairy farms
C. J. Rutten et al.
JOURNAL OF DAIRY SCIENCE (2013)
An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
John Staudenmayer et al.
JOURNAL OF APPLIED PHYSIOLOGY (2009)
Identification of animal movement patterns using tri-axial accelerometry
ELC Shepard et al.
Endangered Species Research (2008)
分享论文
