TELEVITIS. Viticultura de precisión y nuevas tecnologías
TELEVITIS
Instituto de Ciencias de la Vid y del Vino
Logroño, EspañaPublicaciones en colaboración con investigadores/as de Instituto de Ciencias de la Vid y del Vino (77)
2023
-
Application of near-infrared spectroscopy for the estimation of volatile compounds in Tempranillo Blanco grape berries during ripening
Journal of the Science of Food and Agriculture, Vol. 103, Núm. 13, pp. 6317-6329
-
Early yield prediction in different grapevine varieties using computer vision and machine learning
Precision Agriculture, Vol. 24, Núm. 2, pp. 407-435
-
Editorial: Resilience of grapevine to climate change: from plant physiology to adaptation strategies, volume II
Frontiers in Plant Science
-
Inteligencia artificial y visión por ordenador para evaluar los componentes del rendimiento de la vid en viñedos comerciales
BIO Web of Conferences: 44th World Congress of Vine and Wine
-
NIR attribute selection for the development of vineyard water status predictive models
Biosystems Engineering, Vol. 229, pp. 167-178
-
Using artificial intelligence (AI) for grapevine disease detection based on images
BIO Web of Conferences: 44th World Congress of Vine and Wine
2022
-
Deep learning and computer vision for assessing the number of actual berries in commercial vineyards
Biosystems Engineering, Vol. 218, pp. 175-188
-
Editorial: Resilience of grapevine to climate change: From plant physiology to adaptation strategies
Frontiers in Plant Science
2021
-
Assessing and mapping vineyard water status using a ground mobile thermal imaging platform
Irrigation Science, Vol. 39, Núm. 4, pp. 457-468
-
Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions
Computers and Electronics in Agriculture, Vol. 182
-
Smart applications and digital technologies in viticulture: A review
Smart Agricultural Technology, Vol. 1
2020
-
Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions
Computers and Electronics in Agriculture, Vol. 178
2019
-
On-the-go hyperspectral imaging for the in-field estimation of grape berry soluble solids and anthocyanin concentration
Australian Journal of Grape and Wine Research, Vol. 25, Núm. 1, pp. 127-133
-
Vineyard pruning weight assessment by machine vision: Towards an on-the-go measurement system
Oeno One
2018
-
Automated early yield prediction in vineyards from on-the-go image acquisition
Computers and Electronics in Agriculture, Vol. 144, pp. 26-36
-
CAUSES OF SOIL MALFUNCTIONING IN DEGRADED AREAS OF EUROPEAN AND TURKISH VINEYARDS
EQA-INTERNATIONAL JOURNAL OF ENVIRONMENTAL QUALITY, Vol. 30, pp. 15-22
-
Development and validation of a new methodology to assess the vineyard water status by on-the-go near infrared spectroscopy
Frontiers in Plant Science, Vol. 9
-
Effects of soil erosion on agro-ecosystem services and soil functions: A multidisciplinary study in nineteen organically farmed European and Turkish vineyards
Journal of Environmental Management, Vol. 223, pp. 614-624
-
Geographical and cultivar features differentiate grape microbiota in Northern Italy and Spain vineyards
Frontiers in Microbiology, Vol. 9, Núm. MAY
-
In field quantification and discrimination of different vineyard water regimes by on-the-go NIR spectroscopy
Biosystems Engineering, Vol. 165, pp. 47-58