| A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features D Marín, A Aquino, ME Gegúndez-Arias, JM Bravo IEEE Transactions on medical imaging 30 (1), 146-158, 2010 | 1226 | 2010 |
| Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques A Aquino, ME Gegúndez-Arias, D Marín IEEE transactions on medical imaging 29 (11), 1860-1869, 2010 | 685 | 2010 |
| Automated early yield prediction in vineyards from on-the-go image acquisition A Aquino, B Millan, MP Diago, J Tardaguila Computers and electronics in agriculture 144, 26-36, 2018 | 130 | 2018 |
| A function for quality evaluation of retinal vessel segmentations ME Gegúndez-Arias, A Aquino, JM Bravo, D Marín IEEE transactions on medical imaging 31 (2), 231-239, 2011 | 104 | 2011 |
| vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis A Aquino, I Barrio, MP Diago, B Millan, J Tardaguila Computers and Electronics in Agriculture 148, 19-28, 2018 | 91 | 2018 |
| A new methodology for estimating the grapevine-berry number per cluster using image analysis A Aquino, MP Diago, B Millán, J Tardáguila Biosystems engineering 156, 80-95, 2017 | 91 | 2017 |
| vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using … A Aquino, B Millan, D Gaston, MP Diago, J Tardaguila Sensors 15 (9), 21204-21218, 2015 | 87 | 2015 |
| Olive-fruit variety classification by means of image processing and convolutional neural networks JM Ponce, A Aquino, JM Andujar IEEE Access 7, 147629-147641, 2019 | 79 | 2019 |
| Automated optic disc detection in retinal images of patients with diabetic retinopathy and risk of macular edema A Aquino, ME Gegundez, D Marin International Journal of Biomedical and Biological Engineering 3 (12), 353-358, 2009 | 68 | 2009 |
| Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis A Aquino, B Millan, S Gutiérrez, J Tardáguila Computers and Electronics in Agriculture 119, 92-104, 2015 | 66 | 2015 |
| Automatic counting and individual size and mass estimation of olive-fruits through computer vision techniques JM Ponce, A Aquino, B Millan, JM Andujar IEEE Access 7, 59451-59465, 2019 | 58 | 2019 |
| Image analysis‐based modelling for flower number estimation in grapevine B Millan, A Aquino, MP Diago, J Tardaguila Journal of the Science of Food and Agriculture 97 (3), 784-792, 2017 | 58 | 2017 |
| Establishing the macular grading grid by means of fovea centre detection using anatomical-based and visual-based features A Aquino Computers in biology and medicine 55, 61-73, 2014 | 55 | 2014 |
| On‐the‐Go Grapevine Yield Estimation Using Image Analysis and Boolean Model B Millan, S Velasco-Forero, A Aquino, J Tardaguila Journal of Sensors 2018 (1), 9634752, 2018 | 51 | 2018 |
| A new low-cost device based on thermal infrared sensors for olive tree canopy temperature measurement and water status monitoring M Noguera, B Millán, JJ Pérez-Paredes, JM Ponce, A Aquino, JM Andújar Remote Sensing 12 (4), 723, 2020 | 47 | 2020 |
| Nutritional status assessment of olive crops by means of the analysis and modelling of multispectral images taken with UAVs M Noguera, A Aquino, JM Ponce, A Cordeiro, J Silvestre, ... Biosystems Engineering 211, 1-18, 2021 | 37 | 2021 |
| 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 |
| Olive-fruit mass and size estimation using image analysis and feature modeling JM Ponce, A Aquino, B Millán, JM Andújar Sensors 18 (9), 2930, 2018 | 35 | 2018 |
| Automated identification of crop tree crowns from uav multispectral imagery by means of morphological image analysis R Sarabia, A Aquino, JM Ponce, G López, JM Andújar Remote Sensing 12 (5), 748, 2020 | 30 | 2020 |
| Identification of olive fruit, in intensive olive orchards, by means of its morphological structure using convolutional neural networks A Aquino, JM Ponce, JM Andújar Computers and Electronics in Agriculture 176, 105616, 2020 | 26 | 2020 |
José Manuel Andújar MárquezUniversity of HuelvaBestätigte E-Mail-Adresse bei uhu.es