Detalhe da pesquisa
1.
A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions.
Sensors (Basel)
; 19(17)2019 Sep 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-31480754
2.
On-The-Go VIS + SW - NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard.
Molecules
; 24(15)2019 Jul 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-31370313
3.
Effects of soil erosion on agro-ecosystem services and soil functions: A multidisciplinary study in nineteen organically farmed European and Turkish vineyards.
J Environ Manage
; 223: 614-624, 2018 Oct 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29975888
4.
Non-destructive assessment of grapevine water status in the field using a portable NIR spectrophotometer.
J Sci Food Agric
; 97(11): 3772-3780, 2017 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-28133743
5.
Image analysis-based modelling for flower number estimation in grapevine.
J Sci Food Agric
; 97(3): 784-792, 2017 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-27173452
6.
Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions.
Sensors (Basel)
; 16(2): 236, 2016 Feb 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-26891304
7.
Estimation of total soluble solids in grape berries using a hand-held NIR spectrometer under field conditions.
J Sci Food Agric
; 96(9): 3007-16, 2016 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-26399449
8.
Application of 2D and 3D image technologies to characterise morphological attributes of grapevine clusters.
J Sci Food Agric
; 96(13): 4575-83, 2016 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-26910811
9.
vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques.
Sensors (Basel)
; 15(9): 21204-18, 2015 Aug 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-26343664
10.
Assessment of cluster yield components by image analysis.
J Sci Food Agric
; 95(6): 1274-82, 2015 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-25041796
11.
Effects of UV exclusion on the physiology and phenolic composition of leaves and berries of Vitis vinifera cv. Graciano.
J Sci Food Agric
; 95(2): 409-16, 2015 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-24820651
12.
Solar ultraviolet radiation is necessary to enhance grapevine fruit ripening transcriptional and phenolic responses.
BMC Plant Biol
; 14: 183, 2014 Jul 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-25012688
13.
Assessment of flower number per inflorescence in grapevine by image analysis under field conditions.
J Sci Food Agric
; 94(10): 1981-7, 2014 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-24302287
14.
Using an automatic resistivity profiler soil sensor on-the-go in precision viticulture.
Sensors (Basel)
; 13(1): 1121-36, 2013 Jan 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-23325171
15.
Grapevine yield and leaf area estimation using supervised classification methodology on RGB images taken under field conditions.
Sensors (Basel)
; 12(12): 16988-7006, 2012 Dec 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-23235443
16.
Phenolic composition of Tempranillo wines following early defoliation of the vines.
J Sci Food Agric
; 92(4): 925-34, 2012 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-21968704
17.
Early leaf removal impact on volatile composition of Tempranillo wines.
J Sci Food Agric
; 92(4): 935-42, 2012 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-21968739
18.
Assessment of amino acids and total soluble solids in intact grape berries using contactless Vis and NIR spectroscopy during ripening.
Talanta
; 199: 244-253, 2019 Jul 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30952253
19.
Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy.
Front Plant Sci
; 9: 59, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29441086
20.
Vineyard water status assessment using on-the-go thermal imaging and machine learning.
PLoS One
; 13(2): e0192037, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29389982