Computational water stress indices obtained from thermal image analysis of grapevine canopies S Fuentes, R De Bei, J Pech, S Tyerman Irrigation Science 30, 523-536, 2012 | 163 | 2012 |
Non‐destructive measurement of grapevine water potential using near infrared spectroscopy R De Bei, D Cozzolino, W Sullivan, W Cynkar, S Fuentes, R Dambergs, ... Australian Journal of Grape and Wine Research 17 (1), 62-71, 2011 | 156 | 2011 |
VitiCanopy: A free computer App to estimate canopy vigor and porosity for grapevine R De Bei, S Fuentes, M Gilliham, S Tyerman, E Edwards, N Bianchini, ... Sensors 16 (4), 585, 2016 | 143 | 2016 |
Automated estimation of leaf area index from grapevine canopies using cover photography, video and computational analysis methods S Fuentes, C Poblete‐Echeverría, S Ortega‐Farias, S Tyerman, R De Bei Australian Journal of Grape and Wine Research 20 (3), 465-473, 2014 | 82 | 2014 |
Global DNA Methylation Patterns Can Play a Role in Defining Terroir in Grapevine (Vitis vinifera cv. Shiraz) H Xie, M Konate, N Sai, KG Tesfamicael, T Cavagnaro, M Gilliham, ... Frontiers in plant science 8, 1860, 2017 | 63 | 2017 |
Impact of grapevine exposure to smoke on vine physiology and the composition and sensory properties of wine R Ristic, AL Fudge, KA Pinchbeck, R De Bei, S Fuentes, Y Hayasaka, ... Theoretical and Experimental Plant Physiology 28, 67-83, 2016 | 56 | 2016 |
Development of a smartphone application to characterise temporal and spatial canopy architecture and leaf area index for grapevines. S Fuentes, R Bei, C Pozo, S Tyerman | 46 | 2012 |
Effect of vine age on vine performance of Shiraz in the Barossa Valley, Australia D Grigg, D Methven, R De Bei, CM Rodríguez López, P Dry, C Collins Australian journal of grape and wine research 24 (1), 75-87, 2018 | 45 | 2018 |
Influence of canopy management practices on canopy architecture and reproductive performance of Semillon and Shiraz grapevines in a hot climate X Wang, R De Bei, S Fuentes, C Collins American Journal of Enology and Viticulture 70 (4), 360-372, 2019 | 36 | 2019 |
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 | 36 | 2019 |
Effects of canopy management practices on grapevine bud fruitfulness X Wang, S Lesefko, R De Bei, S Fuentes, C Collins International Viticulture & Enology Society (IVES), 2020 | 35 | 2020 |
Night-time responses to water supply in grapevines (Vitis vinifera L.) under deficit irrigation and partial root-zone drying S Fuentes, R De Bei, MJ Collins, JM Escalona, H Medrano, S Tyerman Agricultural Water Management 138, 1-9, 2014 | 35 | 2014 |
Infrared thermography to estimate vine water status: Optimizing canopy measurements and thermal indices for the varieties Merlot and Moscato in northern Italy N Belfiore, R Vinti, L Lovat, W Chitarra, D Tomasi, R de Bei, F Meggio, ... Agronomy 9 (12), 821, 2019 | 33 | 2019 |
Rapid measurement of total non-structural carbohydrate concentration in grapevine trunk and leaf tissues using near infrared spectroscopy R De Bei, S Fuentes, W Sullivan, EJ Edwards, S Tyerman, D Cozzolino Computers and Electronics in Agriculture 136, 176-183, 2017 | 29 | 2017 |
Wine terroir and the soil bacteria: an amplicon sequencing–based assessment of the Barossa Valley and its sub-regions J Zhou, TR Cavagnaro, R De Bei, TM Nelson, JR Stephen, A Metcalfe, ... Frontiers in Microbiology 11, 597944, 2021 | 25 | 2021 |
A GIS-based multicriteria index to evaluate the mechanisability potential of Italian vineyard area A Cogato, A Pezzuolo, CG Sørensen, R De Bei, M Sozzi, F Marinello Land 9 (11), 469, 2020 | 21 | 2020 |
Postveraison leaf removal does not consistently delay ripening in Sémillon and Shiraz in a hot Australian climate R De Bei, X Wang, L Papagiannis, M Cocco, P O’Brien, M Zito, J Ouyang, ... American Journal of Enology and Viticulture 70 (4), 398-410, 2019 | 17 | 2019 |
Assessment of canopy size using UAV-based point cloud analysis to detect the severity and spatial distribution of canopy decline J Ouyang, R De Bei, C Collins Oeno One 55 (1), 253-266, 2021 | 14 | 2021 |
UAV and ground-based imagery analysis detects canopy structure changes after canopy management applications J Ouyang, R De Bei, S Fuentes, C Collins Oeno One 54 (4), 1093-1103, 2020 | 14 | 2020 |
Classification of smoke contaminated Cabernet Sauvignon berries and leaves based on chemical fingerprinting and machine learning algorithms V Summerson, C Gonzalez Viejo, C Szeto, KL Wilkinson, DD Torrico, ... Sensors 20 (18), 5099, 2020 | 14 | 2020 |