Wang et al., 2018 - Google Patents
Development and validation of an ensemble classifier for real-time recognition of cow behavior patterns from accelerometer data and location dataWang et al., 2018
View HTML- Document ID
- 11465466025021711400
- Author
- Wang J
- He Z
- Zheng G
- Gao S
- Zhao K
- Publication year
- Publication venue
- PloS one
External Links
Snippet
Behaviors are important indicators for assessing the health and well-being of dairy cows. The aim of this study is to develop and validate an ensemble classifier for automatically measuring and distinguishing several behavior patterns of dairy cows from accelerometer …
- 241000283690 Bos taurus 0 title description 60
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wang et al. | Development and validation of an ensemble classifier for real-time recognition of cow behavior patterns from accelerometer data and location data | |
Bao et al. | Artificial intelligence in animal farming: A systematic literature review | |
Walton et al. | Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour | |
Gerencsér et al. | Identification of behaviour in freely moving dogs (Canis familiaris) using inertial sensors | |
Vázquez Diosdado et al. | Classification of behaviour in housed dairy cows using an accelerometer-based activity monitoring system | |
Nir et al. | 3D Computer-vision system for automatically estimating heifer height and body mass | |
Grünewälder et al. | Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus) | |
Wang et al. | Machine-learning techniques can enhance dairy cow estrus detection using location and acceleration data | |
Dutta et al. | MOOnitor: An IoT based multi-sensory intelligent device for cattle activity monitoring | |
Wang et al. | IoT-based measurement system for classifying cow behavior from tri-axial accelerometer | |
Rao et al. | On-farm welfare monitoring system for goats based on Internet of Things and machine learning | |
Feng et al. | SocialCattle: IoT-based mastitis detection and control through social cattle behavior sensing in smart farms | |
Shakeel et al. | A deep learning-based cow behavior recognition scheme for improving cattle behavior modeling in smart farming | |
Shen et al. | Automatic recognition method of cow ruminating behaviour based on edge computing | |
KR102639558B1 (en) | Growth analysis prediction apparatus using bone maturity distribution by interest area and method thereof | |
Dineva et al. | Towards CPS/IoT system for livestock smart farm monitoring | |
US12026575B2 (en) | Animal motion and temperature monitoring | |
Behmann et al. | Support Vector machine and duration-aware conditional random field for identification of spatio-temporal activity patterns by combined indoor positioning and heart rate sensors | |
Lovarelli et al. | Development of a new wearable 3d sensor node and innovative open classification system for dairy cows’ behavior | |
Bergman et al. | Biometric identification of dairy cows via real-time facial recognition | |
US20240037734A1 (en) | Systems and methods for classifying pet information | |
Achour et al. | Classification of dairy cows’ behavior by energy-efficient sensor | |
Wang et al. | Development of a wireless measurement system for classifying cow behavior using accelerometer data and location data | |
Bhargava et al. | Leveraging fog analytics for context-aware sensing in cooperative wireless sensor networks | |
Milan et al. | Survey and future prospects in precision dairy farming |