A5006686357- Smart Agriculture and AI
- Advanced Vision and Imaging
- Remote Sensing in Agriculture
- Spectroscopy and Chemometric Analyses
- Advanced Image and Video Retrieval Techniques
- Remote-Sensing Image Classification
- Robotics and Sensor-Based Localization
- Remote Sensing and LiDAR Applications
- Image Enhancement Techniques
- Advanced Image Fusion Techniques
- Leaf Properties and Growth Measurement
- Neural Networks and Applications
- Greenhouse Technology and Climate Control
- Medical Image Segmentation Techniques
- Metaheuristic Optimization Algorithms Research
- Image Retrieval and Classification Techniques
- Image Processing Techniques and Applications
- Image and Object Detection Techniques
- Robotic Path Planning Algorithms
- Image and Signal Denoising Methods
- Evolutionary Algorithms and Applications
- 3D Surveying and Cultural Heritage
- Face and Expression Recognition
- Guidance and Control Systems
- Soil Mechanics and Vehicle Dynamics
Universidad Complutense de Madrid
2015-2024
Software (Spain)
2012-2021
University of Malta
2018
Centre for Automation and Robotics
2006-2018
National University of Distance Education
1995-2018
Lancaster University
2018
Computer Algorithms for Medicine
2018
Universidad Politécnica de Madrid
2018
Universidad Rey Juan Carlos
2016
Universidade de Santiago de Compostela
2014
Abstract Remotely Piloted Aircraft (RPA) is presently in continuous development at a rapid pace. Unmanned Aerial Vehicles (UAVs) or more extensively Systems (UAS) are platforms considered under the RPAs paradigm. Simultaneously, of sensors and instruments to be installed onboard such growing exponentially. These two factors together have led increasing use these for remote sensing applications with new potential. Thus, overall goal this paper provide panoramic overview about current status...
Feeding the growing global population requires an annual increase in food production. This requirement suggests use of pesticides, which represents unsustainable chemical load for environment. To reduce pesticide input and preserve environment while maintaining necessary level production, efficiency relevant processes must be drastically improved. Within this context, research strived to design, develop, test assess a new generation automatic robotic systems effective weed pest control aimed...
Computer-based sensors and actuators such as global positioning systems, machine vision, laser-based have progressively been incorporated into mobile robots with the aim of configuring autonomous systems capable shifting operator activities in agricultural tasks. However, incorporation many electronic a robot impairs its reliability increases cost. Hardware minimization, well software minimization ease integration, is essential to obtain feasible robotic systems. A step forward application...
In this paper, a multilevel thresholding (MT) algorithm based on the harmony search (HSA) is introduced. HSA an evolutionary method which inspired in musicians improvising new harmonies while playing. Different to other algorithms, exhibits interesting capabilities still keeping low computational overhead. The proposed encodes random samples from feasible space inside image histogram as candidate solutions, whereas their quality evaluated considering objective functions that are employed by...
Cyanobacterial Harmful Algal Blooms (CyanoHABs) in lakes and reservoirs have increased substantially recent decades due to different environmental factors. Its early detection is a crucial issue minimize health effects, particularly potential drinking recreational water bodies. The use of Autonomous Surface Vehicles (ASVs) equipped with machine vision systems (cameras) onboard, represents useful alternative at this time. In regard, we propose an image Semantic Segmentation approach based on...
This paper outlines an optimization relaxation approach based on the analog Hopfield neural network (HNN) for solving image change detection problem between two images. A difference is obtained by subtracting pixel both The topology built so that each in a node network. Each characterized its state, which determines if has changed. An energy function derived, converges to stable states. Hopfield's model allows take state values. Unlike most widely used approaches, where binary labels...