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Roberta De Bei
Roberta De Bei
Plant and Food Research Australia
Verified email at plantandfood.com.au
Title
Cited by
Cited by
Year
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
1562012
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
1502011
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
1372016
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
792014
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
602017
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
522016
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
452012
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
442018
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
352019
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
352014
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
332020
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
302019
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
282017
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
272019
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
222021
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
212020
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
162019
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
142020
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
132021
Leaf removal applied to a sprawling canopy to regulate fruit ripening in Cabernet Sauvignon
P O’Brien, C Collins, R De Bei
Plants 10 (5), 1017, 2021
112021
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