| Integrating a low-cost electronic nose and machine learning modelling to assess coffee aroma profile and intensity C Gonzalez Viejo, E Tongson, S Fuentes Sensors 21 (6), 2016, 2021 | 67 | 2021 |
| Automated grapevine cultivar classification based on machine learning using leaf morpho-colorimetry, fractal dimension and near-infrared spectroscopy parameters S Fuentes, E Hernández-Montes, JM Escalona, J Bota, CG Viejo, ... Computers and electronics in agriculture 151, 311-318, 2018 | 57 | 2018 |
| Artificial intelligence applied to a robotic dairy farm to model milk productivity and quality based on cow data and daily environmental parameters S Fuentes, C Gonzalez Viejo, B Cullen, E Tongson, SS Chauhan, ... Sensors 20 (10), 2975, 2020 | 51 | 2020 |
| Novel digital technologies implemented in sensory science and consumer perception S Fuentes, E Tongson, CG Viejo Current Opinion in Food Science 41, 99-106, 2021 | 39 | 2021 |
| Early detection of aphid infestation and insect-plant interaction assessment in wheat using a low-cost electronic nose (E-nose), near-infrared spectroscopy and machine learning … S Fuentes, E Tongson, RR Unnithan, C Gonzalez Viejo Sensors 21 (17), 5948, 2021 | 38 | 2021 |
| Assessment of smoke contamination in grapevine berries and taint in wines due to bushfires using a low-cost E-nose and an artificial intelligence approach S Fuentes, V Summerson, C Gonzalez Viejo, E Tongson, N Lipovetzky, ... Sensors 20 (18), 5108, 2020 | 38 | 2020 |
| The livestock farming digital transformation: implementation of new and emerging technologies using artificial intelligence S Fuentes, CG Viejo, E Tongson, FR Dunshea Animal Health Research Reviews 23 (1), 59-71, 2022 | 36 | 2022 |
| Non-invasive tools to detect smoke contamination in grapevine canopies, berries and wine: A remote sensing and machine learning modeling approach S Fuentes, EJ Tongson, R De Bei, C Gonzalez Viejo, R Ristic, S Tyerman, ... Sensors 19 (15), 3335, 2019 | 35 | 2019 |
| Modeling pinot noir aroma profiles based on weather and water management information using machine learning algorithms: A vertical vintage analysis using artificial intelligence S Fuentes, E Tongson, DD Torrico, C Gonzalez Viejo Foods 9 (1), 33, 2019 | 28 | 2019 |
| Automated Chinese medicinal plants classification based on machine learning using leaf morpho-colorimetry, fractal dimension and visible/near infrared spectroscopy J Xue, S Fuentes, C Poblete-Echeverria, CG Viejo, E Tongson, H Du, ... International Journal of Agricultural and Biological Engineering 12 (2), 123-131, 2019 | 26 | 2019 |
| Non-invasive sheep biometrics obtained by computer vision algorithms and machine learning modeling using integrated visible/infrared thermal cameras S Fuentes, C Gonzalez Viejo, SS Chauhan, A Joy, E Tongson, ... Sensors 20 (21), 6334, 2020 | 21 | 2020 |
| Machine learning modeling of wine sensory profiles and color of vertical vintages of pinot noir based on chemical fingerprinting, weather and management data S Fuentes, DD Torrico, E Tongson, C Gonzalez Viejo Sensors 20 (13), 3618, 2020 | 20 | 2020 |
| Biometric physiological responses from dairy cows measured by visible remote sensing are good predictors of milk productivity and quality through artificial intelligence S Fuentes, C Gonzalez Viejo, E Tongson, N Lipovetzky, FR Dunshea Sensors 21 (20), 6844, 2021 | 19 | 2021 |
| Urban green infrastructure monitoring using remote sensing from integrated visible and thermal infrared cameras mounted on a moving vehicle S Fuentes, E Tongson, C Gonzalez Viejo Sensors 21 (1), 295, 2021 | 15 | 2021 |
| A Digital Approach to Evaluate the Effect of Berry Cell Death on Pinot Noir Wines’ Quality Traits and Sensory Profiles Using Non-Destructive Near-Infrared Spectroscopy S Fuentes, E Tongson, J Chen, C Gonzalez Viejo Beverages 6 (2), 39, 2020 | 10 | 2020 |
| Early Detection of Fusarium oxysporum Infection in Processing Tomatoes (Solanum lycopersicum) and Pathogen–Soil Interactions Using a Low-Cost Portable … H Feng, C Gonzalez Viejo, N Vaghefi, PWJ Taylor, E Tongson, S Fuentes Sensors 22 (22), 8645, 2022 | 9 | 2022 |
| Advances and requirements for machine learning and artificial intelligence applications in viticulture S Fuentes, E Tongson Wine & Viticulture Journal 33 (3), 47-52, 2018 | 9 | 2018 |
| Early detection of Verticillium wilt of potatoes using near-infrared spectroscopy and machine learning modeling MY Shin, CG Viejo, E Tongson, T Wiechel, PWJ Taylor, S Fuentes Computers and Electronics in Agriculture 204, 107567, 2023 | 8 | 2023 |
| Berry cell vitality assessment and the effect on wine sensory traits based on chemical fingerprinting, canopy architecture and machine learning modelling S Fuentes, C Gonzalez Viejo, C Hall, Y Tang, E Tongson Sensors 21 (21), 7312, 2021 | 8 | 2021 |
| Animal biometric assessment using non-invasive computer vision and machine learning are good predictors of dairy cows age and welfare: The future of automated veterinary … S Fuentes, CG Viejo, E Tongson, FR Dunshea, HH Dac, N Lipovetzky Journal of Agriculture and Food Research 10, 100388, 2022 | 5 | 2022 |
