| On-line determination and control of fat content in batches of beef trimmings by NIR imaging spectroscopy JP Wold, M O'Farrell, M Høy, J Tschudi Meat science 89 (3), 317-324, 2011 | 92 | 2011 |
| Combining principal component analysis with an artificial neural network to perform online quality assessment of food as it cooks in a large-scale industrial oven M O’farrell, E Lewis, C Flanagan, WB Lyons, N Jackman Sensors and Actuators B: Chemical 107 (1), 104-112, 2005 | 61 | 2005 |
| The use of mel-frequency cepstral coefficients in musical instrument identification R Loughran, J Walker, M O'Neill, M O'Farrell ICMC, 2008 | 59 | 2008 |
| Ice fraction assessment by near-infrared spectroscopy enhancing automated superchilling process lines AM Stevik, AS Duun, T Rustad, M O’Farrell, H Schulerud, S Ottestad Journal of Food Engineering 100 (1), 169-177, 2010 | 57 | 2010 |
| Principal component analysis and artificial neural network based approach to analysing optical fibre sensors signals E Lewis, C Sheridan, M O’Farrell, D King, C Flanagan, WB Lyons, ... Sensors and Actuators A: Physical 136 (1), 28-38, 2007 | 57 | 2007 |
| Comparison of k-NN and neural network methods in the classification of spectral data from an optical fibre-based sensor system used for quality control in the food industry M O’farrell, E Lewis, C Flanagan, W Lyons, N Jackman Sensors and Actuators B: Chemical 111, 354-362, 2005 | 54 | 2005 |
| On-line fat content classification of inhomogeneous pork trimmings using multispectral near infrared interactance imaging M O'Farrell, JP Wold, M Høy, J Tschudi, H Schulerud Journal of Near Infrared Spectroscopy 18 (2), 135-145, 2010 | 42 | 2010 |
| Design of a system that uses optical-fiber sensors and neural networks to control a large-scale industrial oven by monitoring the food quality online M O'Farrell, E Lewis, C Flanagan, WB Lyons, N Jackman IEEE sensors Journal 5 (6), 1407-1420, 2005 | 33 | 2005 |
| A comparison of CIE L* a* b* and spectral methods for the analysis of fading in sliced cured ham C Sheridan, M O’Farrell, E Lewis, C Flanagan, J Kerry, N Jackman Journal of Optics A: Pure and Applied Optics 9 (6), S32, 2007 | 30 | 2007 |
| In-line and non-destructive monitoring of core temperature in sausages during industrial heat treatment by NIR interaction spectroscopy JP Wold, M O'farrell, J Tschudi, CE Eskildsen, PV Andersen, S Ottestad Journal of Food Engineering 277, 109921, 2020 | 24 | 2020 |
| The potential for predicting purge in packaged meat using low field NMR H Zhu, M O’Farrell, EW Hansen, PV Andersen, P Berg, B Egelandsdal Journal of Food Engineering 206, 98-105, 2017 | 23 | 2017 |
| Near-infrared (NIR) interactance system for non-contact monitoring of the temperature profile of baked liver pâté M O'Farrell, KAH Bakke, J Tschudi, JP Wold Applied Spectroscopy 65 (12), 1372-1379, 2011 | 17 | 2011 |
| Musical instrument identification using principal component analysis and multi-layered perceptrons R Loughran, J Walker, M O'Neill, M O'Farrell 2008 International Conference on Audio, Language and Image Processing, 643-648, 2008 | 16 | 2008 |
| Evaluating nuclear magnetic resonance (NMR) as a robust reference method for online spectroscopic measurement of water holding capacity (WHC) H Zhu, M O'Farrell, G Bouquet, K Lunde, B Egelandsdal, O Alvseike, ... Journal of Food Engineering 175, 51-57, 2016 | 15 | 2016 |
| Inline spectroscopy: From concept to function J Tschudi, M O'Farrell, KA Hestnes Bakke Applied Spectroscopy 72 (9), 1298-1309, 2018 | 14 | 2018 |
| Optimization of instrument design for in-line monitoring of dry matter content in single potatoes by NIR interaction spectroscopy JP Wold, M O’Farrell, PV Andersen, J Tschudi Foods 10 (4), 828, 2021 | 13 | 2021 |
| Meat factory cell–a concept for the future? O Alvseike, H Sverdvik, M O’Farrell, P Berg 63rd international congress of meat science and technology, 494-495, 2017 | 12 | 2017 |
| Using a reflection-based optical fibre system and Neural Networks to evaluate the quality of food in a large-scale industrial oven M O’Farrell, E Lewis, C Flanagan, WB Lyons, N Jackman Sensors and Actuators A: Physical 115 (2-3), 424-433, 2004 | 12 | 2004 |
| Optical fibre sensors for assessing food quality in full scale production ovens—a principal component analysis and artificial neural network based approach E Lewis, C Sheridan, M O’Farrell, C Flanagan, JF Kerry, N Jackman Nonlinear Analysis: Hybrid Systems 2 (1), 51-57, 2008 | 11 | 2008 |
| Monitoring food quality using an optical fibre based sensor system—a comparison of Kohonen and back-propagation neural network classification techniques C Sheridan, M O'Farrell, E Lewis, WB Lyons, C Flanagan, N Jackman Measurement Science and Technology 17 (2), 229, 2005 | 10 | 2005 |
