Information Technologies for Welfare Monitoring in Pigs and Their Relation to Welfare Quality®
出版年份 2021 全文链接
标题
Information Technologies for Welfare Monitoring in Pigs and Their Relation to Welfare Quality®
作者
关键词
-
出版物
Sustainability
Volume 13, Issue 2, Pages 692
出版商
MDPI AG
发表日期
2021-01-13
DOI
10.3390/su13020692
参考文献
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。- Automated Video Behavior Recognition of Pigs Using Two-Stream Convolutional Networks
- (2020) Kaifeng Zhang et al. SENSORS
- How Are Information Technologies Addressing Broiler Welfare? A Systematic Review Based on the Welfare Quality® Assessment
- (2020) Heitor Vieira Rios et al. Sustainability
- Quantifying defence cascade responses as indicators of pig affect and welfare using computer vision methods
- (2020) Poppy Statham et al. Scientific Reports
- Using Passive Infrared Detectors to Record Group Activity and Activity in Certain Focus Areas in Fattening Pigs
- (2020) Naemi Von Jasmund et al. Animals
- Automatic posture change analysis of lactating sows by action localisation and tube optimisation from untrimmed depth videos
- (2020) Chan Zheng et al. BIOSYSTEMS ENGINEERING
- Classification of drinking and drinker-playing in pigs by a video-based deep learning method
- (2020) Chen Chen et al. BIOSYSTEMS ENGINEERING
- A computer vision-based method for spatial-temporal action recognition of tail-biting behaviour in group-housed pigs
- (2020) Dong Liu et al. BIOSYSTEMS ENGINEERING
- Automatically detecting pig position and posture by 2D camera imaging and deep learning
- (2020) Martin Riekert et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- An adaptive pig face recognition approach using Convolutional Neural Networks
- (2020) Mathieu Marsot et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Research on 3D surface reconstruction and body size measurement of pigs based on multi-view RGB-D cameras
- (2020) Shi Shuai et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A computer vision approach for recognition of the engagement of pigs with different enrichment objects
- (2020) Chen Chen et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- On-Farm Claw Scoring in Sows Using a Novel Mobile Device
- (2019) Miriam van Riet et al. SENSORS
- Freedom to lie: How farrowing environment affects sow lying behaviour assessment using inertial sensors
- (2019) Robin J. Thompson et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Prediction of Tail Biting Events in Finisher Pigs from Automatically Recorded Sensor Data
- (2019) Mona Lilian Vestbjerg Larsen et al. Animals
- Review: Precision livestock farming: building ‘digital representations’ to bring the animals closer to the farmer
- (2019) T. Norton et al. Animal
- Development and application of an image acquisition system for characterizing sow behaviors in farrowing stalls
- (2019) S.M. Leonard et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Learning patterns from time-series data to discriminate predictions of tail-biting, fouling and diarrhoea in pigs
- (2019) Yuvraj Domun et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Establishment of validated models for non-invasive prediction of rectal temperature of sows using infrared thermography and chemometrics
- (2019) Yao-Ze Feng et al. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
- Deep Learning and Machine Vision Approaches for Posture Detection of Individual Pigs
- (2019) Abozar Nasirahmadi et al. SENSORS
- Classification of piglet (Sus Scrofa) stress conditions using vocalization pattern and applying paraconsistent logic Eτ
- (2019) Jonas Pereira da Silva et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Animal Welfare and the United Nations Sustainable Development Goals
- (2019) Linda Keeling et al. Frontiers in Veterinary Science
- Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory
- (2019) Chen Chen et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Predicting pen fouling in fattening pigs from pig position
- (2019) Dan Børge Jensen et al. Livestock Science
- Evaluation of an automated assessment system for ear and tail lesions as animal welfare indicators in pigs at slaughter
- (2019) Lara Blömke et al. MEAT SCIENCE
- Dynamics of Sows’ Activity Housed in Farrowing Pens with Possibility of Temporary Crating might Indicate the Time When Sows Should be Confined in a Crate before the Onset of Farrowing
- (2019) Maciej Oczak et al. Animals
- Evaluation of a depth sensor for mass estimation of growing and finishing pigs
- (2018) Isabella C.F.S. Condotta et al. BIOSYSTEMS ENGINEERING
- Use of vocalisation to identify sex, age, and distress in pig production
- (2018) Alexandra F.da S. Cordeiro et al. BIOSYSTEMS ENGINEERING
- Monitoring trough visits of growing-finishing pigs with UHF-RFID
- (2018) Felix Adrion et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic recognition of lactating sow postures from depth images by deep learning detector
- (2018) Chan Zheng et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- On-barn pig weight estimation based on body measurements by a Kinect v1 depth camera
- (2018) Andrea Pezzuolo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Asphyxia occurrence detection in sows during the farrowing phase by inter-birth interval evaluation
- (2018) Cedric Okinda et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Agreement between passive infrared detector measurements and human observations of animal activity
- (2018) R. Besteiro et al. Livestock Science
- Automatic early warning of tail biting in pigs: 3D cameras can detect lowered tail posture before an outbreak
- (2018) Richard B. D’Eath et al. PLoS One
- Validation of an AutoRegressive Integrated Moving Average model for the prediction of animal zone temperature in a weaned piglet building
- (2018) Juan A. Ortega et al. BIOSYSTEMS ENGINEERING
- THE USE OF VOCALIZATION SIGNALS TO ESTIMATE THE LEVEL OF PAIN IN PIGLETS
- (2018) Alexandra F. da S. Cordeiro et al. Engenharia Agricola
- ‘Tailception’: using neural networks for assessing tail lesions on pictures of pig carcasses
- (2018) J. Brünger et al. Animal
- Be kind to others: Prosocial behaviours and their implications for animal welfare
- (2018) Jean-Loup Rault APPLIED ANIMAL BEHAVIOUR SCIENCE
- Design and test of a low-power acceleration sensor with Bluetooth Low Energy on ear tags for sow behaviour monitoring
- (2018) Long-Shen Liu et al. BIOSYSTEMS ENGINEERING
- Spatial modeling of pigs’ drinking patterns as an alarm reducing method II. Application of a multivariate dynamic linear model
- (2018) K.N. Dominiak et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic scoring of lateral and sternal lying posture in grouped pigs using image processing and Support Vector Machine
- (2018) Abozar Nasirahmadi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Spatial modeling of pigs’ drinking patterns as an alarm reducing method I. Developing a multivariate dynamic linear model
- (2018) K.N. Dominiak et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- On-Barn Pig Weight Estimation Based on Body Measurements by Structure-from-Motion (SfM)
- (2018) Andrea Pezzuolo et al. SENSORS
- Recognition and drinking behaviour analysis of individual pigs based on machine vision
- (2017) Wei-xing Zhu et al. Livestock Science
- Estimation of patterns in weaned piglets' activity using spectral analysis
- (2017) Roberto Besteiro et al. BIOSYSTEMS ENGINEERING
- Online warning systems for individual fattening pigs based on their feeding pattern
- (2017) Jarissa Maselyne et al. BIOSYSTEMS ENGINEERING
- Automated tracking to measure behavioural changes in pigs for health and welfare monitoring
- (2017) Stephen G. Matthews et al. Scientific Reports
- A new approach for categorizing pig lying behaviour based on a Delaunay triangulation method
- (2016) A. Nasirahmadi et al. Animal
- Monitoring pig movement at the slaughterhouse using optical flow and modified angular histograms
- (2016) Ruta Gronskyte et al. BIOSYSTEMS ENGINEERING
- Methods to construct feeding visits from RFID registrations of growing-finishing pigs at the feed trough
- (2016) Jarissa Maselyne et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Porcine lie detectors: Automatic quantification of posture state and transitions in sows using inertial sensors
- (2016) Robin Thompson et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Predicting farrowing of sows housed in crates and pens using accelerometers and CUSUM charts
- (2016) Matti Pastell et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic recognition of lactating sow behaviors through depth image processing
- (2016) F. Lao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- An approach of pig weight estimation using binocular stereo system based on LabVIEW
- (2016) Chen Shi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Can an automated labelling method based on accelerometer data replace a human labeller? – Postural profile of farrowing sows
- (2016) Maciej Oczak et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic detection of mounting behaviours among pigs using image analysis
- (2016) Abozar Nasirahmadi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- High environmental temperature around farrowing induced heat stress in crated sows
- (2016) R. Muns et al. JOURNAL OF ANIMAL SCIENCE
- Temperature as a predictor of fouling and diarrhea in slaughter pigs
- (2016) Dan Børge Jensen et al. Livestock Science
- Feasibility of boar taint classification using a portable Raman device
- (2016) Xiaoye Liu et al. MEAT SCIENCE
- Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor
- (2016) Jonguk Lee et al. SENSORS
- Measuring the drinking behaviour of individual pigs housed in group using radio frequency identification (RFID)
- (2015) J. Maselyne et al. Animal
- Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique
- (2015) M. Nilsson et al. Animal
- Classification of nest-building behaviour in non-crated farrowing sows on the basis of accelerometer data
- (2015) Maciej Oczak et al. BIOSYSTEMS ENGINEERING
- Pig herd monitoring and undesirable tripping and stepping prevention
- (2015) Ruta Gronskyte et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Using machine vision for investigation of changes in pig group lying patterns
- (2015) Abozar Nasirahmadi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Towards qualitative and quantitative prediction and detection of parturition onset in sows using light barriers
- (2015) Christian Manteuffel et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Discerning Pig Screams in Production Environments
- (2015) J. Vandermeulen et al. PLoS One
- Pre-clinical and clinical walking kinematics in female breeding pigs with lameness: A nested case-control cohort study
- (2015) S. Stavrakakis et al. VETERINARY JOURNAL
- Using classification trees to detect induced sow lameness with a transient model
- (2014) C. E. Abell et al. Animal
- Pressure mat analysis of naturally occurring lameness in young pigs after weaning
- (2014) Ellen Meijer et al. BMC Veterinary Research
- Hidden phase-type Markov model for the prediction of onset of farrowing for loose-housed sows
- (2014) U. Aparna et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic weight estimation of individual pigs using image analysis
- (2014) Mohammadamin Kashiha et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Validation of a High Frequency Radio Frequency Identification (HF RFID) system for registering feeding patterns of growing-finishing pigs
- (2014) Jarissa Maselyne et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Vocalization data mining for estimating swine stress conditions
- (2014) Marta Moi et al. Engenharia Agricola
- Development of a system for automatic measurements of force and visual stance variables for objective lameness detection in sows: SowSIS
- (2013) Liesbet M. Pluym et al. BIOSYSTEMS ENGINEERING
- Automated video analysis of pig activity at pen level highly correlates to human observations of behavioural activities
- (2013) S. Ott et al. Livestock Science
- Automatic monitoring of pig locomotion using image analysis
- (2013) Mohammad Amin Kashiha et al. Livestock Science
- An automatic colour-based computer vision algorithm for tracking the position of piglets
- (2013) J.M. Navarro Jover et al. SPANISH JOURNAL OF AGRICULTURAL RESEARCH
- Understanding Vocalization Might Help to Assess Stressful Conditions in Piglets
- (2013) Alexandra da Silva Cordeiro et al. Animals
- The automatic monitoring of pigs water use by cameras
- (2012) Mohammadamin Kashiha et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- The Welfare Quality® project and beyond: Safeguarding farm animal well-being
- (2010) H. J. Blokhuis et al. ACTA AGRICULTURAE SCANDINAVICA SECTION A-ANIMAL SCIENCE
- Validation and fine-tuning of a predictive model for air quality in livestock buildings
- (2010) T.M. Banhazi et al. BIOSYSTEMS ENGINEERING
- Classification of sows’ activity types from acceleration patterns using univariate and multivariate models
- (2010) Cécile Cornou et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Time-series analysis for online recognition and localization of sick pig (Sus scrofa) cough sounds
- (2009) Vasileios Exadaktylos et al. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
- Differential vocal responses to physical and mental stressors in domestic pigs (Sus scrofa)
- (2008) Sandra Düpjan et al. APPLIED ANIMAL BEHAVIOUR SCIENCE
- Real time computer stress monitoring of piglets using vocalization analysis
- (2008) D.J. Moura et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Real-time recognition of sick pig cough sounds
- (2008) V. Exadaktylos et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Cough localization for the detection of respiratory diseases in pig houses
- (2008) M. Silva et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Classifying sows’ activity types from acceleration patterns
- (2007) Cécile Cornou et al. APPLIED ANIMAL BEHAVIOUR SCIENCE
- A real-time computer vision assessment and control of thermal comfort for group-housed pigs
- (2007) Bin Shao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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