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Roberta De Bei
Roberta De Bei
Plant and Food Research Australia
在 plantandfood.com.au 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1382016
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
802014
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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