Tomas Norton

Orcid: 0000-0002-0161-3189

Affiliations:
  • KU Leuven, Belgium


According to our database1, Tomas Norton authored at least 31 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Recognizing the rooting action of prepartum sow in free-farrowing pen using computer vision.
Comput. Electron. Agric., October, 2023

Don't get lost in the crowd: Graph convolutional network for online animal tracking in dense groups.
Comput. Electron. Agric., September, 2023

Where's your head at? Detecting the orientation and position of pigs with rotated bounding boxes.
Comput. Electron. Agric., September, 2023

A computer vision-based approach for respiration rate monitoring of group housed pigs.
Comput. Electron. Agric., July, 2023

Counting piglet suckling events using deep learning-based action density estimation.
Comput. Electron. Agric., July, 2023

Evaluation of computer vision for detecting agonistic behavior of pigs in a single-space feeding stall through blocked cross-validation strategies.
Comput. Electron. Agric., 2023

2022
Wheat head counting in the wild by an augmented feature pyramid networks-based convolutional neural network.
Comput. Electron. Agric., 2022

2021
A PCA-based frame selection method for applying CNN and LSTM to classify postural behaviour in sows.
Comput. Electron. Agric., 2021

Separate weighing of male and female broiler breeders by electronic platform weigher using camera technologies.
Comput. Electron. Agric., 2021

A tristimulus-formant model for automatic recognition of call types of laying hens.
Comput. Electron. Agric., 2021

Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning.
Comput. Electron. Agric., 2021

2020
An Approach towards Motion-Tolerant PPG-Based Algorithm for Real-Time Heart Rate Monitoring of Moving Pigs.
Sensors, 2020

Non-Invasive PPG-Based System for Continuous Heart Rate Monitoring of Incubated Avian Embryo.
Sensors, 2020

Assessment of Laying Hens' Thermal Comfort Using Sound Technology.
Sensors, 2020

Recognition of aggressive episodes of pigs based on convolutional neural network and long short-term memory.
Comput. Electron. Agric., 2020

Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method.
Comput. Electron. Agric., 2020

A computer vision approach for recognition of the engagement of pigs with different enrichment objects.
Comput. Electron. Agric., 2020

2019
An Automatic Head Surface Temperature Extraction Method for Top-View Thermal Image with Individual Broiler.
Sensors, 2019

Real-time modelling of individual weight response to feed supply for fattening pigs.
Comput. Electron. Agric., 2019

Learning patterns from time-series data to discriminate predictions of tail-biting, fouling and diarrhoea in pigs.
Comput. Electron. Agric., 2019

Detection of aggressive behaviours in pigs using a RealSence depth sensor.
Comput. Electron. Agric., 2019

Development of sound-based poultry health monitoring tool for automated sneeze detection.
Comput. Electron. Agric., 2019

2018
Dynamic Neural Network Modelling of Soil Moisture Content for Predictive Irrigation Scheduling.
Sensors, 2018

An automatic ear base temperature extraction method for top view piglet thermal image.
Comput. Electron. Agric., 2018

Dynamic modelling of lettuce transpiration for water status monitoring.
Comput. Electron. Agric., 2018

Dynamic modelling of the baseline temperatures for computation of the crop water stress index (CWSI) of a greenhouse cultivated lettuce crop.
Comput. Electron. Agric., 2018

2017
Application note: Labelling, a methodology to develop reliable algorithm in PLF.
Comput. Electron. Agric., 2017

Validation of an open source CFD code to simulate natural ventilation for agricultural buildings.
Comput. Electron. Agric., 2017

Appropriate data visualisation is key to Precision Livestock Farming acceptance.
Comput. Electron. Agric., 2017

2016
Real-time monitoring of the horse-rider dyad using body sensor network technology.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

2013
Aiding the understanding of novel freezing technology through numerical modelling with visual basic for applications (VBA).
Comput. Appl. Eng. Educ., 2013


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