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Tomas Norton
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- affiliation: KU Leuven, Belgium
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2020 – today
- 2024
- [j33]Martin Føre
, Morten Omholt Alver, Jo Arve Alfredsen, Adil Rasheed, Thor Hukkelås, Hans V. Bjelland
Digital Twins in intensive aquaculture - Challenges, opportunities and future prospects. Comput. Electron. Agric. 218: 108676 (2024) - [j32]Haiming Gan
Peeking into the unseen: Occlusion-resistant segmentation for preweaning piglets under crushing events. Comput. Electron. Agric. 219: 108683 (2024) - [j31]Zikang Chen
Recognizing pawing behavior of prepartum doe using semantic segmentation and motion history image (MHI) features. Expert Syst. Appl. 242: 122829 (2024) - [i1]Axiu Mao, Meilu Zhu, Zhaojin Guo, Zheng He, Tomas Norton, Kai Liu:
CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition. CoRR abs/2410.16644 (2024) - 2023
- [j30]Junjie Han
Evaluation of computer vision for detecting agonistic behavior of pigs in a single-space feeding stall through blocked cross-validation strategies. Comput. Electron. Agric. 204: 107520 (2023) - [j29]Haiming Gan
Counting piglet suckling events using deep learning-based action density estimation. Comput. Electron. Agric. 210: 107877 (2023) - [j28]Meiqing Wang
A computer vision-based approach for respiration rate monitoring of group housed pigs. Comput. Electron. Agric. 210: 107899 (2023) - [j27]Andrea Parmiggiani
Don't get lost in the crowd: Graph convolutional network for online animal tracking in dense groups. Comput. Electron. Agric. 212: 108038 (2023) - [j26]Dong Liu
Where's your head at? Detecting the orientation and position of pigs with rotated bounding boxes. Comput. Electron. Agric. 212: 108099 (2023) - [j25]Ruotong Yang, Zikang Chen
Recognizing the rooting action of prepartum sow in free-farrowing pen using computer vision. Comput. Electron. Agric. 213: 108167 (2023) - 2022
- [j24]Jun Sun, Kaifeng Yang, Chen Chen, Jifeng Shen, Yu Yang, Xiaohong Wu, Tomas Norton
Wheat head counting in the wild by an augmented feature pyramid networks-based convolutional neural network. Comput. Electron. Agric. 193: 106705 (2022) - 2021
- [j23]Dong Liu, Erik Vranken
Separate weighing of male and female broiler breeders by electronic platform weigher using camera technologies. Comput. Electron. Agric. 182: 106009 (2021) - [j22]Xiaodong Du, Guanghui Teng, Chaoyuan Wang, Lenn Carpentier, Tomas Norton
A tristimulus-formant model for automatic recognition of call types of laying hens. Comput. Electron. Agric. 187: 106221 (2021) - [j21]Chen Chen, Weixing Zhu, Tomas Norton
Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning. Comput. Electron. Agric. 187: 106255 (2021) - [j20]Meiqing Wang
A PCA-based frame selection method for applying CNN and LSTM to classify postural behaviour in sows. Comput. Electron. Agric. 189: 106351 (2021) - 2020
- [j19]Chen Chen, Weixing Zhu, Juan P. Steibel, Janice M. Siegford
Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory. Comput. Electron. Agric. 169: 105166 (2020) - [j18]Chen Chen, Weixing Zhu, Maciej Oczak, Kristina Maschat, Johannes Baumgartner, Mona Lilian Vestbjerg Larsen
A computer vision approach for recognition of the engagement of pigs with different enrichment objects. Comput. Electron. Agric. 175: 105580 (2020) - [j17]Chen Chen, Weixing Zhu, Juan P. Steibel, Janice M. Siegford, Junjie Han
Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method. Comput. Electron. Agric. 176: 105642 (2020) - [j16]Xiaodong Du
Assessment of Laying Hens' Thermal Comfort Using Sound Technology. Sensors 20(2): 473 (2020) - [j15]Ali Youssef
An Approach towards Motion-Tolerant PPG-Based Algorithm for Real-Time Heart Rate Monitoring of Moving Pigs. Sensors 20(15): 4251 (2020) - [j14]Ali Youssef
Non-Invasive PPG-Based System for Continuous Heart Rate Monitoring of Incubated Avian Embryo. Sensors 20(16): 4560 (2020)
2010 – 2019
- 2019
- [j13]Lenn Carpentier, Erik Vranken
Development of sound-based poultry health monitoring tool for automated sneeze detection. Comput. Electron. Agric. 162: 573-581 (2019) - [j12]Alberto Peña Fernández
Real-time modelling of individual weight response to feed supply for fattening pigs. Comput. Electron. Agric. 162: 895-906 (2019) - [j11]Yuvraj Domun, Lene Juul Pedersen
Learning patterns from time-series data to discriminate predictions of tail-biting, fouling and diarrhoea in pigs. Comput. Electron. Agric. 163 (2019) - [j10]Chen Chen, Weixing Zhu, Dong Liu
Detection of aggressive behaviours in pigs using a RealSence depth sensor. Comput. Electron. Agric. 166 (2019) - [j9]Xingguo Xiong, Mingzhou Lu
An Automatic Head Surface Temperature Extraction Method for Top-View Thermal Image with Individual Broiler. Sensors 19(23): 5286 (2019) - 2018
- [j8]Olutobi Adeyemi, Ivan Grove, Sven Peets, Yuvraj Domun, Tomas Norton
Dynamic modelling of the baseline temperatures for computation of the crop water stress index (CWSI) of a greenhouse cultivated lettuce crop. Comput. Electron. Agric. 153: 102-114 (2018) - [j7]Olutobi Adeyemi, Ivan Grove, Sven Peets, Yuvraj Domun, Tomas Norton
Dynamic modelling of lettuce transpiration for water status monitoring. Comput. Electron. Agric. 155: 50-57 (2018) - [j6]Mingzhou Lu
An automatic ear base temperature extraction method for top view piglet thermal image. Comput. Electron. Agric. 155: 339-347 (2018) - [j5]Olutobi Adeyemi, Ivan Grove, Sven Peets, Yuvraj Domun, Tomas Norton
Dynamic Neural Network Modelling of Soil Moisture Content for Predictive Irrigation Scheduling. Sensors 18(10): 3408 (2018) - 2017
- [j4]T. Van Hertem
Appropriate data visualisation is key to Precision Livestock Farming acceptance. Comput. Electron. Agric. 138: 1-10 (2017) - [j3]Se-Woon Hong
Validation of an open source CFD code to simulate natural ventilation for agricultural buildings. Comput. Electron. Agric. 138: 80-91 (2017) - [j2]Emanuela Tullo
Application note: Labelling, a methodology to develop reliable algorithm in PLF. Comput. Electron. Agric. 142: 424-428 (2017) - 2016
- [c1]Deborah Piette, Tomas Norton
Real-time monitoring of the horse-rider dyad using body sensor network technology. BSN 2016: 287-291 - 2013
- [j1]Tomas Norton
Aiding the understanding of novel freezing technology through numerical modelling with visual basic for applications (VBA). Comput. Appl. Eng. Educ. 21(3): 530-538 (2013)
Coauthor Index
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last updated on 2024-11-28 20:24 CET by the dblp team
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