A5031794649- Spectroscopy and Chemometric Analyses
- Horticultural and Viticultural Research
- Intuitionistic Fuzzy Systems Applications
- Fermentation and Sensory Analysis
- Fuzzy Logic and Control Systems
- Multi-Criteria Decision Making
- Advanced Neural Network Applications
- Rough Sets and Fuzzy Logic
- Veterinary Orthopedics and Neurology
- Spinal Cord Injury Research
- Veterinary Equine Medical Research
- Remote Sensing in Agriculture
- Video Surveillance and Tracking Methods
- Neural Networks and Applications
- Robotics and Sensor-Based Localization
- Nerve injury and regeneration
- Medical Image Segmentation Techniques
- Information Systems and Technology Applications
- Nerve Injury and Rehabilitation
- Autonomous Vehicle Technology and Safety
- Hip disorders and treatments
- Muscle activation and electromyography studies
- Visual Attention and Saliency Detection
- Remote Sensing and LiDAR Applications
- Human Pose and Action Recognition
University of Trás-os-Montes and Alto Douro
2015-2024
University of Minho
2015-2023
Association for the Development of Douro Viticulture
2009
Universidad de León
2008
University of Lisbon
2008
Peripheral nerve researchers frequently use the rat sciatic crush as a model for axonotmesis. Unfortunately, studies from various research groups report results different techniques and by using variety of evaluation tools, making comparisons between difficult. The purpose this investigation was to determine sequence functional morphologic changes after an acute injury with non-serrated clamp, giving final standardized pressure p = 9 MPa. Functional recovery evaluated index (SFI), extensor...
In recent years there is a growing importance in using machine learning techniques to improve procedures precision agriculture: this work we perform study on models capable of predicting oenological parameters from hyperspectral images wine grape berries, specially relevant topic boost production tasks for winemakers. Specifically, explore the capabilities novel technique mostly used visualization, t-Distributed Stochastic Neighbor Embedding (t-SNE), reducing dimensionality highly complex...
Abstract Yield assessment is a highly relevant task for the wine industry. The goal of this work was to develop new algorithm early yield prediction in different grapevine varieties using computer vision and machine learning. Vines from six ( Vitis vinifera L.) were photographed mobile platform commercial vineyard at pea-size berry stage. A SegNet architecture employed detect visible berries canopy features. All features used train support vector regression (SVR) models predicting number...
Remote sensing technology, such as hyperspectral imaging, in combination with machine learning algorithms, has emerged a viable tool for rapid and nondestructive assessment of wine grape ripeness. However, the differences terroir, together climatic variations variability exhibited by different varieties, have considerable impact on ripening stages within vintage between vintages and, consequently, robustness predictive models. To address this challenge, we present novel one-dimensional...
The assessment of grape ripeness is an extremely important factor in winemaking and has a direct impact on wine quality. This process usually carried out with traditional laboratory analysis, costly procedure that destroys the grapes selected for analysis. Consequently, research precision viticulture shifted focus to development digital processes are fast non-intrusive. In this context, use hyperspectral imaging paired prediction models estimation oenological parameters gained wide...
Abstract Computerized analysis of rat gait is becoming an invaluable technique used by some peripheral nerve investigators for the evaluation function. In this article we describe use a biomechanical model foot and ankle that allows quantitative assessment description angle, reflecting plantarflexion dorsiflexion during stance phase gait. Kinematic data 144 trial walks from 36 normal rats were recorded with high‐speed digital image camera at 225 images per second. The angular changes...
In this paper, an automatic histogram threshold approach based on a fuzziness measure is presented. This work improvement of existing method. Using fuzzy logic concepts, the problems involved in finding minimum criterion function are avoided. Similarity between gray levels key to find optimal threshold. Two initial regions levels, located at boundaries histogram, defined. Then, using index fuzziness, similarity process started point. A significant contrast objects and background assumed....
SUMMARY A worldwide innovative method to discriminate grapevine clones is presented. It an alternative ampelography, isozyme and DNA analysis. The spectra their first second derivatives of 201 bands in the visible near-infrared wavelength range between 634 759 nm were used as inputs a classifier created using partial least squares. acquired laboratory for adaxial side apical part main lobe fully hydrated leaves. allowed separation 100 leaves Cabernet Sauvignon ( Vitis vinifera L.) variety...
The number of berries is one the most relevant yield components that drives grape production in viticulture. goal this work was to estimate actual per grapevine using computer vision and deep learning commercial vineyards. Images from visible range (RGB) were acquired a set 96 grapevines (Vitis vinifera L.) at pea-size berry stage red, green blue camera (RGB). At harvest, vine manually assessed as ground-truth values. algorithm involved detect images extract canopy features, order gain...
In red grape berries, anthocyanins account for about 50% of the skin phenols and are responsible final wine color. Individual anthocyanin levels compositional profiles vary with cultivar, maturity, season, region, yield have been proposed as chemical markers to differentiate wines provide valuable information regarding adulteration musts wines. A fast, easy, solvent-free, nondestructive method based on visible, short-wave, near-infrared hyperspectral imaging (HSI) in intact berries...