Salvador
Gutiérrez Salcedo
Researcher in the period 2015-2019
Publications by the researcher in collaboration with Salvador Gutiérrez Salcedo (29)
2024
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Image analysis with deep learning for early detection of downy mildew in grapevine
Scientia Horticulturae, Vol. 331
2023
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Evolutionary conditional GANs for supervised data augmentation: The case of assessing berry number per cluster in grapevine
Applied Soft Computing, Vol. 147
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Multi-sensor spectral fusion to model grape composition using deep learning
Information Fusion, Vol. 99
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NIR attribute selection for the development of vineyard water status predictive models
Biosystems Engineering, Vol. 229, pp. 167-178
2022
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Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method
Oeno One, Vol. 56, Núm. 3, pp. 41-53
2021
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Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales
La Semana vitivinícola, Núm. 3589, pp. 468-471
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Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales
La Semana vitivinícola, Núm. 3605, pp. 1991-1994
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Artificial intelligence and novel sensing technologies for assessing downy mildew in grapevine
Horticulturae, Vol. 7, Núm. 5
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Assessing and mapping vineyard water status using a ground mobile thermal imaging platform
Irrigation Science, Vol. 39, Núm. 4, pp. 457-468
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Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions
Computers and Electronics in Agriculture, Vol. 182
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Estimación de la producción de uva del viñedo mediante visión artificial
La Semana vitivinícola, Núm. 3605, pp. 1995-1997
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Estimación de la producción de uva del viñedo mediante visión artificial
La Semana vitivinícola, Núm. 3589, pp. 472-474
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Impact of leaf occlusions on yield assessment by computer vision in commercial vineyards
Agronomy, Vol. 11, Núm. 5
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Smart applications and digital technologies in viticulture: A review
Smart Agricultural Technology, Vol. 1
2019
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Hyperspectral imaging application under field conditions: Assessment of the spatio-temporal variability of grape composition within a vineyard
Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
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On-The-Go VIS + SW - NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard
Molecules (Basel, Switzerland), Vol. 24, Núm. 15
2018
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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
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In field quantification and discrimination of different vineyard water regimes by on-the-go NIR spectroscopy
Biosystems Engineering, Vol. 165, pp. 47-58
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On-the-go hyperspectral imaging under field conditions and machine learning for the classification of grapevine varieties
Frontiers in Plant Science, Vol. 9
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Vineyard water status assessment using on-the-go thermal imaging and machine learning
PLoS ONE, Vol. 13, Núm. 2