| 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 … F Palacios, G Bueno, J Salido, MP Diago, I Hernández, J Tardaguila Computers and Electronics in Agriculture 178, 105796, 2020 | 78 | 2020 |
| A non-invasive method based on computer vision for grapevine cluster compactness assessment using a mobile sensing platform under field conditions F Palacios, MP Diago, J Tardaguila Sensors 19 (17), 3799, 2019 | 37 | 2019 |
| On‐the‐go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis MP Diago, A Aquino, B Millan, F Palacios, J Tardáguila Australian Journal of Grape and Wine Research 25 (3), 363-374, 2019 | 37 | 2019 |
| Early yield prediction in different grapevine varieties using computer vision and machine learning F Palacios, MP Diago, P Melo-Pinto, J Tardaguila Precision Agriculture 24 (2), 407-435, 2023 | 33 | 2023 |
| Deep learning and computer vision for assessing the number of actual berries in commercial vineyards F Palacios, P Melo-Pinto, MP Diago, J Tardaguila biosystems engineering 218, 175-188, 2022 | 25 | 2022 |
| Vineyard pruning weight assessment by machine vision: towards an on-the-go measurement system: This article is published in cooperation with the 21th GIESCO International … B Millan, MP Diago, A Aquino, F Palacios, J Tardaguila Oeno One 53 (2), 2019 | 24 | 2019 |
| Impact of leaf occlusions on yield assessment by computer vision in commercial vineyards R Íñiguez, F Palacios, I Barrio, I Hernández, S Gutiérrez, J Tardaguila Agronomy 11 (5), 1003, 2021 | 18 | 2021 |
| Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method I Hernández, S Gutiérrez, S Ceballos, F Palacios, SL Toffolatti, ... International Viticulture and Enology Society, 2022 | 14 | 2022 |
| Computer vision and artificial intelligence for yield components' assessment in digital viticulture F Palacios Universidad de La Rioja, 2021 | | 2021 |
| Assessing actual number of grapevine berries using linear methods and machine learning F Palacios, P Melo-Pinto, MP Diago, R Iñiguez, J Tardaguila Precision agriculture’21, 4-8, 2021 | | 2021 |
| Impact of Leaf Occlusions on Yield Assessment by Computer Vision in Commercial Vineyards. Agronomy 2021, 11, 1003 R Íñiguez, F Palacios, I Barrio, I Hernández, S Gutiérrez, J Tardaguila s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Use of non-invasive RGB imaging to assess the canopy status in organic viticulture MP Diago, J Fernández-Novales, F Palacios, E Moreda, J Tardaguila EQA–Environmental quality 30, 23-30, 2018 | | 2018 |
| Aplicación de las materias de Ingeniería de Computadores en la mejora de los Algoritmos Meméticos y Metaheurísticas en general FP López, JC Padial Enseñanza y aprendizaje de ingeniería de computadores: Revista de …, 2015 | | 2015 |
| IN-FIELD DOWNY MILDEW DETECTION IN GRAPEVINE USING COMPUTER VISION AND CONVOLUTIONAL NEURAL NETWORKS I Hernández, S Gutiérrez, S Ceballos, R Iñiguez, F Palacios, ... BOOK OF ABSTRACTS OF ALL THE POSTERS, 23, 0 | | |
