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ARTURO AQUINO
Author Info
Open Visualization
Name
Affiliation
Papers
ARTURO AQUINO
Department of Electronic, Computer Science and Automatic Engineering, “La Rábida” High Technical School of Engineering, University of Huelva, Spain
14
Collaborators
Citations
PageRank
24
130
9.54
Referers
Referees
References
439
368
131
Search Limit
100
439
Publications (14 rows)
Collaborators (24 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
A New Low-Cost Device Based on Thermal Infrared Sensors for Olive Tree Canopy Temperature Measurement and Water Status Monitoring
0
0.34
2020
Identification Of Olive Fruit, In Intensive Olive Orchards, By Means Of Its Morphological Structure Using Convolutional Neural Networks
0
0.34
2020
Automated Identification of Crop Tree Crowns From UAV Multispectral Imagery by Means of Morphological Image Analysis
1
0.37
2020
Olive-Fruit Variety Classification by Means of Image Processing and Convolutional Neural Networks
0
0.34
2019
Automatic Counting and Individual Size and Mass Estimation of Olive-Fruits Through Computer Vision Techniques.
0
0.34
2019
vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis.
2
0.42
2018
Automated early yield prediction in vineyards from on-the-go image acquisition.
2
0.42
2018
Olive-Fruit Mass and Size Estimation Using Image Analysis and Feature Modeling.
1
0.40
2018
On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model.
0
0.34
2018
vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques
3
0.70
2015
Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis
2
0.44
2015
Establishing the macular grading grid by means of fovea centre detection using anatomical-based and visual-based features.
9
0.51
2014
A Function for Quality Evaluation of Retinal Vessel Segmentations.
15
0.77
2012
Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques.
95
3.82
2010
1