Articles citing this paper
Image-processing technique to measure pig activity in response to climatic variation in a pig barn
A. Costa A C , G. Ismayilova A , F. Borgonovo A , S. Viazzi B , D. Berckmans B and M. Guarino A
+ Author Affiliations
- Author Affiliations
A Department of Health, Animal Science and Food Safety, Faculty of Veterinary Medicine Università degli Studi di Milano, via Celoria 10, 20133 Milan, Italy.
B Measure, Model & Manage Bioresponses (M3-BIORES), Laboratory for Agricultural Buildings Research, Catholic University of Leuven, Kasteelpark Arenberg 30, B-3001 Leuven, Belgium.
C Corresponding author. Email: annamaria.costa@unimi.it
Animal Production Science 54(8) 1075-1083 https://doi.org/10.1071/AN13031
Submitted: 26 January 2013 Accepted: 17 September 2013 Published: 26 November 2013
40 articles found in Crossref database.
Automatic detection of mounting behaviours among pigs using image analysis
Nasirahmadi Abozar,
Hensel Oliver,
Edwards Sandra A., Sturm Barbara
Computers and Electronics in Agriculture. 2016 124 p.295
Pig mounting behaviour recognition based on video spatial–temporal features
Yang Qiumei,
Xiao Deqin, Cai Jiahao
Biosystems Engineering. 2021 206 p.55
Recording group and area-specific activity of fattening pigs by using Passive Infrared Detectors on farm
Wurm Esther,
von Jasmund Naemi,
Tiemann Inga,
Rötering Kathrin Schulze, Büscher Wolfgang
Frontiers in Animal Science. 2023 4
Use of a digital passive infrared motion detector in piglet rearing for the identification of animal activity
Drexl Veronika,
Siebler David,
Dittrich Imme,
Heins Rina,
Diers Sophie, Krieter Joachim
Smart Agricultural Technology. 2023 4 p.100228
Early detection of health and welfare compromises through automated detection of behavioural changes in pigs
Matthews Stephen G.,
Miller Amy L.,
Clapp James,
Plötz Thomas, Kyriazakis Ilias
The Veterinary Journal. 2016 217 p.43
A computer vision-based approach for respiration rate monitoring of group housed pigs
Wang Meiqing,
Li Xue,
Larsen Mona L.V.,
Liu Dong,
Rault Jean-Loup, Norton Tomas
Computers and Electronics in Agriculture. 2023 210 p.107899
Transforming the Adaptation Physiology of Farm Animals through Sensors
Neethirajan Suresh
Animals. 2020 10(9). p.1512
A Review in the Automatic Detection of Pigs Behavior with Sensors
Zhang Ziting,
Zhang Hang,
He Yuxiang,
Liu Tonghai, Caputo Domenico
Journal of Sensors. 2022 2022 p.1
Research on the lying pattern of grouped pigs using unsupervised clustering and deep learning
Xu Jinyang,
Zhou Suyin,
Xia Fang,
Xu Aijun, Ye Junhua
Livestock Science. 2022 260 p.104946
A novel method for automatically analysing the activity of fast-moving animals: a case study of Callimico goeldii monkeys housed in a zoological garden
Nieckarz Zenon,
Nowicki Jacek,
Labocha Karolina, Pawlak Krzysztof
Scientific Reports. 2023 13(1).
Pig herd monitoring and undesirable tripping and stepping prevention
Gronskyte Ruta,
Clemmensen Line Harder,
Hviid Marchen Sonja, Kulahci Murat
Computers and Electronics in Agriculture. 2015 119 p.51
GAN-Based Video Denoising with Attention Mechanism for Field-Applicable Pig Detection System
Bo Zhao,
Atif Othmane,
Lee Jonguk,
Park Daihee, Chung Yongwha
Sensors. 2022 22(10). p.3917
Individual Detection and Tracking of Group Housed Pigs in Their Home Pen Using Computer Vision
van der Zande Lisette. E.,
Guzhva Oleksiy, Rodenburg T. Bas
Frontiers in Animal Science. 2021 2
Review of automatic detection of pig behaviours by using image analysis
Han Shuqing,
Zhang Jianhua,
Zhu Mengshuai,
Wu Jianzhai, Kong Fantao
IOP Conference Series: Earth and Environmental Science. 2017 69 p.012096
Season dynamics of microclimate parameters in the premises for keeping suckling sows farm with different ventilation systems
Mykhalko O., Povod M.
Tehnologìâ virobnictva ì pererobki produktìv tvarinnictva. 2020 (2(158)). p.44
Modelling of Animal Activity, Illuminance, and Noise on a Weaned Piglet Farm
Fernández Maria D.,
Besteiro Roberto,
Arango Tamara, Rodríguez Manuel R.
Animals. 2023 13(20). p.3257
Welfare Health and Productivity in Commercial Pig Herds
Racewicz Przemysław,
Ludwiczak Agnieszka,
Skrzypczak Ewa,
Składanowska-Baryza Joanna,
Biesiada Hanna,
Nowak Tomasz,
Nowaczewski Sebastian,
Zaborowicz Maciej,
Stanisz Marek, Ślósarz Piotr
Animals. 2021 11(4). p.1176
Describing Behavior Sequences of Fattening Pigs Using Process Mining on Video Data and Automated Pig Behavior Recognition
Melfsen Andreas,
Lepsien Arvid,
Bosselmann Jan,
Koschmider Agnes, Hartung Eberhard
Agriculture. 2023 13(8). p.1639
An automatic recognition framework for sow daily behaviours based on motion and image analyses
Yang Aqing,
Huang Huasheng,
Zheng Bin,
Li Shimei,
Gan Haiming,
Chen Changxin,
Yang Xiaofan, Xue Yueju
Biosystems Engineering. 2020 192 p.56
Identifying Early Indicators of Tail Biting in Pigs by Variable Selection Using Partial Least Squares Regression
Drexl Veronika,
Dittrich Imme,
Wilder Thore,
Diers Sophie, Krieter Joachim
Animals. 2022 13(1). p.56
Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review
Wurtz Kaitlin,
Camerlink Irene,
D’Eath Richard B.,
Fernández Alberto Peña,
Norton Tomas,
Steibel Juan,
Siegford Janice, Raboisson Didier
PLOS ONE. 2019 14(12). p.e0226669
Using Passive Infrared Detectors to Record Group Activity and Activity in Certain Focus Areas in Fattening Pigs
Von Jasmund Naemi,
Wellnitz Anna,
Krommweh Manuel Stephan, Büscher Wolfgang
Animals. 2020 10(5). p.792
Image and Video Technology (2019)
Estimation of patterns in weaned piglets' activity using spectral analysis
Besteiro Roberto,
Arango Tamara,
Rodríguez Manuel R.,
Fernández María D., Velo Ramón
Biosystems Engineering. 2018 173 p.85
Assessment of Indoor Air Quality for Group-Housed Macaques (Macaca spp.)
Maaskant Annemiek,
Janssen Isabel,
Wouters Inge M.,
Eerdenburg Frank J. C. M.,
Remarque Edmond J.,
Langermans Jan A. M., Bakker Jaco
Animals. 2022 12(14). p.1750
Depth-Based Detection of Standing-Pigs in Moving Noise Environments
Kim Jinseong,
Chung Yeonwoo,
Choi Younchang,
Sa Jaewon,
Kim Heegon,
Chung Yongwha,
Park Daihee, Kim Hakjae
Sensors. 2017 17(12). p.2757
Towards qualitative and quantitative prediction and detection of parturition onset in sows using light barriers
Manteuffel Christian,
Hartung Eberhard,
Schmidt Mariana,
Hoffmann Gundula, Schön Peter Christian
Computers and Electronics in Agriculture. 2015 116 p.201
Thermal imaging and computer vision technologies for the enhancement
of pig husbandry: a review
Reza Md Nasim,
Ali Md Razob,
Samsuzzaman ,
Kabir Md Shaha Nur,
Karim Md Rejaul,
Ahmed Shahriar,
Kyoung Hyunjin,
Kim Gookhwan, Chung Sun-Ok
Journal of Animal Science and Technology. 2024 66(1). p.31
Using machine vision for investigation of changes in pig group lying patterns
Nasirahmadi Abozar,
Richter Uwe,
Hensel Oliver,
Edwards Sandra, Sturm Barbara
Computers and Electronics in Agriculture. 2015 119 p.184
Parturition detection in sows as test case for measuring activity behaviour in farm animals by means of radar sensors
Manteuffel Christian
Biosystems Engineering. 2019 184 p.200
Activity detection of suckling piglets based on motion area analysis using frame differences in combination with convolution neural network
Ding Qi-an,
Chen Jia,
Shen Ming-xia, Liu Long-shen
Computers and Electronics in Agriculture. 2022 194 p.106741
Effects of light-emitting diode light v. fluorescent light on growing performance, activity levels and well-being of non-beak-trimmed W-36 pullets
Liu K.,
Xin H., Settar P.
Animal. 2018 12(1). p.106
Effects of pen location on thermoregulation and growth performance in grow-finish pigs during late summer1
Kpodo Kouassi R,
Duttlinger Alan W, Johnson Jay S
Translational Animal Science. 2019 3(4). p.1375
Quantifying Individual Response to PRRSV Using Dynamic Indicators of Resilience Based on Activity
van der Zande Lisette E.,
Dunkelberger Jenelle R.,
Rodenburg T. Bas,
Bolhuis J. Elizabeth,
Mathur Pramod K.,
Cairns W. James,
Keyes Michael C.,
Eggert John M.,
Little Erin A.,
Dee Scott A., Knol Egbert F.
Frontiers in Veterinary Science. 2020 7
Implementation of machine vision for detecting behaviour of cattle and pigs
Nasirahmadi Abozar,
Edwards Sandra A., Sturm Barbara
Livestock Science. 2017 202 p.25
On-barn pig weight estimation based on body measurements by a Kinect v1 depth camera
Pezzuolo Andrea,
Guarino Marcella,
Sartori Luigi,
González Luciano A., Marinello Francesco
Computers and Electronics in Agriculture. 2018 148 p.29
A new approach for categorizing pig lying behaviour based on a Delaunay triangulation method
Nasirahmadi A.,
Hensel O.,
Edwards S.A., Sturm B.
Animal. 2017 11(1). p.131
Long-term video activity monitoring and anomaly alerting of group-housed pigs
Yang Qiumei,
Chen Miaobin,
Xiao Deqin,
Huang Senpeng, Hui Xiangyang
Computers and Electronics in Agriculture. 2024 224 p.109205
Application of computational fluid dynamics on a study in swine facilities with mechanical ventilation system
Sousa Junior Vilmar Rodrigues de,
Sabino Luana Araújo,
Moura Daniella Jorge de,
Nunhez José Roberto,
Sonoda Lilia Thays,
Silva Alexandre Oliveira,
Prada Ronald Jaimes,
Fontoura Diener Volpin Ribeiro, Seber Rogério Torres
Scientia Agricola. 2018 75(3). p.173
Real-time sow behavior detection based on deep learning
Zhang Yuanqin,
Cai Jiahao,
Xiao Deqin,
Li Zesen, Xiong Benhai
Computers and Electronics in Agriculture. 2019 163 p.104884
