| Effects of grapevine (Vitis vinifera L.) water status on water consumption, vegetative growth and grape quality: An irrigation scheduling application to achieve regulated … C Acevedo-Opazo, S Ortega-Farias, S Fuentes Agricultural Water Management 97 (7), 956-964, 2010 | 376 | 2010 |
| Improving water use efficiency of vineyards in semi-arid regions. A review JB Hipolito Medrano, Magdalena Tomas, Sebastia Martorell, Jose-Mariano ... Agronomy for Sustainable Development, 2014 | 349* | 2014 |
| Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management M Romero, Y Luo, B Su, S Fuentes Computers and electronics in agriculture 147, 109-117, 2018 | 270 | 2018 |
| Protocol: optimising hydroponic growth systems for nutritional and physiological analysis of Arabidopsis thaliana and other plants SJ Conn, B Hocking, M Dayod, B Xu, A Athman, S Henderson, L Aukett, ... Plant methods 9, 1-11, 2013 | 260 | 2013 |
| Adaptive estimation of crop water stress in nectarine and peach orchards using high-resolution imagery from an unmanned aerial vehicle (UAV) S Park, D Ryu, S Fuentes, H Chung, E Hernández-Montes, M O’Connell Remote Sensing 9 (8), 828, 2017 | 176 | 2017 |
| Development of a low-cost e-nose to assess aroma profiles: An artificial intelligence application to assess beer quality CG Viejo, S Fuentes, A Godbole, B Widdicombe, RR Unnithan Sensors and Actuators B: Chemical 308, 127688, 2020 | 166 | 2020 |
| 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 | 166 | 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 | 158 | 2011 |
| Silicon improves seed germination and alleviates drought stress in lentil crops by regulating osmolytes, hydrolytic enzymes and antioxidant defense system S Biju, S Fuentes, D Gupta Plant Physiology and Biochemistry 119, 250-264, 2017 | 154 | 2017 |
| Cross-cultural effects of food product familiarity on sensory acceptability and non-invasive physiological responses of consumers DD Torrico, S Fuentes, CG Viejo, H Ashman, FR Dunshea Food research international 115, 439-450, 2019 | 150 | 2019 |
| 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 | 141 | 2016 |
| Partial rootzone drying and deficit irrigation increase stomatal sensitivity to vapour pressure deficit in anisohydric grapevines MJ Collins, S Fuentes, EWR Barlow Functional Plant Biology 37 (2), 128-138, 2010 | 120 | 2010 |
| Integration of non-invasive biometrics with sensory analysis techniques to assess acceptability of beer by consumers CG Viejo, S Fuentes, K Howell, DD Torrico, FR Dunshea Physiology & behavior 200, 139-147, 2019 | 114 | 2019 |
| Chemical characterization of aromas in beer and their effect on consumers liking CG Viejo, S Fuentes, DD Torrico, A Godbole, FR Dunshea Food chemistry 293, 479-485, 2019 | 109 | 2019 |
| An automated procedure for estimating the leaf area index (LAI) of woodland ecosystems using digital imagery, MATLAB programming and its application to an examination of the … S Fuentes, AR Palmer, D Taylor, M Zeppel, R Whitley, D Eamus Functional Plant Biology 35 (10), 1070-1079, 2008 | 106 | 2008 |
| Novel techniques to understand consumer responses towards food products: A review with a focus on meat DD Torrico, SC Hutchings, M Ha, EP Bittner, S Fuentes, RD Warner, ... Meat science 144, 30-42, 2018 | 105 | 2018 |
| Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms C Gonzalez Viejo, S Fuentes, D Torrico, K Howell, FR Dunshea Journal of the Science of Food and Agriculture 98 (2), 618-627, 2018 | 103 | 2018 |
| The use of infrared thermal imaging as a non-destructive screening tool for identifying drought-tolerant lentil genotypes S Biju, S Fuentes, D Gupta Plant physiology and biochemistry 127, 11-24, 2018 | 93 | 2018 |
| 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 | 87 | 2021 |
| Emerging technologies based on artificial intelligence to assess the quality and consumer preference of beverages C Gonzalez Viejo, DD Torrico, FR Dunshea, S Fuentes Beverages 5 (4), 62, 2019 | 87 | 2019 |
Matthew GillihamProfessor & Director, ARC Centre of Excellence in Plants for Space, University of Adelaideยืนยันอีเมลแล้วที่ adelaide.edu.au
