Articles with public access mandates - Tomas Norton, FIAgrE, FiAABE, FRSBLearn more
Not available anywhere: 8
Validation of an open source CFD code to simulate natural ventilation for agricultural buildings
SW Hong, V Exadaktylos, IB Lee, T Amon, A Youssef, T Norton, ...
Computers and Electronics in Agriculture 138, 80-91, 2017
Mandates: European Commission
Using computational fluid dynamics to analyse the CO2 transfer in naturally ventilated greenhouses
FD Molina-Aiz, T Norton, A López, A Reyes-Rosas, MA Moreno, P Marín, ...
V International Symposium on Models for Plant Growth, Environment Control …, 2016
Mandates: Government of Spain
Real-time modelling of individual weight response to feed supply for fattening pigs
AP Fernández, T Norton, A Youssef, V Exadaktylos, C Bahr, E Bruininx, ...
Computers and Electronics in Agriculture 162, 895-906, 2019
Mandates: Research Foundation (Flanders)
In situ observation of thermal and hydraulic responses of sunflower stem to cold water irrigation using embedded thermocouples
H Zhou, Y Sun, Q Cheng, PS Lammers, L Damerow, H Schumann, ...
Computers and electronics in agriculture 109, 195-199, 2014
Mandates: National Natural Science Foundation of China
Analysis of behavioural patterns in broilers using camera-based technology
AP Fernandez, V Exadaktylos, E Vranken, D Berckmans
2015 ASABE Annual International Meeting, 1, 2015
Mandates: European Commission
Automatic detection of locomotor play in young pigs: A proof of concept
MLV Larsen, M Wang, S Willems, D Liu, T Norton
Biosystems Engineering 229, 154-166, 2023
Mandates: European Commission
Monitoring of litter quality in broiler commercial farms using camera-based technology
AP Fernández, T Van Hertem, V Exadaktylos, T Norton, E Vranken, ...
2016 ASABE Annual International Meeting, 1, 2016
Mandates: European Commission
Progress report on the coordinated innovation network for advancing computer vision in precision livestock farming
JP Steibel, T Brown-Brandi, GJM Rosa, JM Siegford, E Psota, M Benjamin, ...
Conference proceedings of the 2nd US Precision Livestock Farming conference …, 2023
Mandates: US Department of Agriculture
Available somewhere: 33
Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review
K Wurtz, I Camerlink, RB D’Eath, AP Fernández, T Norton, J Steibel, ...
PloS one 14 (12), e0226669, 2019
Mandates: US Department of Agriculture, UK Biotechnology and Biological Sciences …
Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning
C Chen, W Zhu, T Norton
Computers and Electronics in Agriculture 187, 106255, 2021
Mandates: National Natural Science Foundation of China
A computer vision-based method for spatial-temporal action recognition of tail-biting behaviour in group-housed pigs
D Liu, M Oczak, K Maschat, J Baumgartner, B Pletzer, D He, T Norton
Biosystems Engineering 195, 27-41, 2020
Mandates: National Natural Science Foundation of China
Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory
C Chen, W Zhu, J Steibel, J Siegford, K Wurtz, J Han, T Norton
Computers and Electronics in Agriculture 169, 105166, 2020
Mandates: US Department of Agriculture, National Natural Science Foundation of China
Real-time monitoring of broiler flock's welfare status using camera-based technology
AP Fernández, T Norton, E Tullo, T van Hertem, A Youssef, V Exadaktylos, ...
Biosystems Engineering 173, 103-114, 2018
Mandates: European Commission
Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method
C Chen, W Zhu, J Steibel, J Siegford, J Han, T Norton
Computers and Electronics in Agriculture 176, 105642, 2020
Mandates: US Department of Agriculture, National Natural Science Foundation of China
Detection of aggressive behaviours in pigs using a RealSence depth sensor
C Chen, W Zhu, D Liu, J Steibel, J Siegford, K Wurtz, J Han, T Norton
Computers and Electronics in Agriculture 166, 105003, 2019
Mandates: US Department of Agriculture, National Natural Science Foundation of China
Classification of drinking and drinker-playing in pigs by a video-based deep learning method
C Chen, W Zhu, J Steibel, J Siegford, J Han, T Norton
Biosystems Engineering 196, 1-14, 2020
Mandates: US Department of Agriculture, National Natural Science Foundation of China
Information Technologies for Welfare Monitoring in Pigs and Their Relation to Welfare Quality®
MLV Larsen, M Wang, T Norton
Sustainability 13 (2), 692, 2021
Mandates: European Commission
Assessment of laying hens’ thermal comfort using sound technology
X Du, L Carpentier, G Teng, M Liu, C Wang, T Norton
Sensors 20 (2), 473, 2020
Mandates: National Natural Science Foundation of China
Review of sensor technologies in animal breeding: phenotyping behaviors of laying hens to select against feather pecking
ED Ellen, M Van Der Sluis, J Siegford, O Guzhva, MJ Toscano, ...
Animals 9 (3), 108, 2019
Mandates: US Department of Agriculture, European Commission
A computer vision approach for recognition of the engagement of pigs with different enrichment objects
C Chen, W Zhu, M Oczak, K Maschat, J Baumgartner, MLV Larsen, ...
Computers and Electronics in Agriculture 175, 105580, 2020
Mandates: National Natural Science Foundation of China, European Commission
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