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D-Index & Metrics

Computer Science

D-Index
32
Citations
4231
World Ranking
13190
National Ranking
252

Overview

Angela Ribeiro is affiliated with the Spanish National Research Council in Spain. Their research spans multiple disciplines, primarily focusing on Agricultural and Biological Sciences and Computer Science.

The scientist's work covers several specific subfields including Plant Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Engineering, and Electrical and Electronic Engineering.

Key topics addressed in their research include:

  • Smart Agriculture and AI
  • Quantum Computing Algorithms and Architecture
  • Remote Sensing and LiDAR Applications
  • Horticultural and Viticultural Research
  • Quantum Information and Cryptography
  • Neural Networks and Reservoir Computing
  • Plant Disease Management Techniques

Angela Ribeiro has contributed to various academic venues, with multiple publications appearing in:

  • Agronomy
  • Computers and Electronics in Agriculture
  • Sensors
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)

Notable recent papers by Angela Ribeiro include:

  • On-Ground Vineyard Reconstruction Using a LiDAR-Based Automated System (2020, Sensors)
  • Automatic design of quantum feature maps (2021, Quantum Science and Technology)
  • Industrial, Collaborative and Mobile Robotics in Latin America: Review of Mechatronic Technologies for Advanced Automation (2023, Emerging Science Journal)
  • Analysis of Stable Diffusion-derived fake weeds performance for training Convolutional Neural Networks (2023, Computers and Electronics in Agriculture)
  • Intelligent Weed Management Based on Object Detection Neural Networks in Tomato Crops (2022, Agronomy)

Frequent collaborators in their research include:

  • Dionisio Andújar
  • José M. Bengochea-Guevara
  • Jeremy Karouta
  • Sergio Altares-López
  • Hugo Moreno

Best Publications

  • Original paper: Automatic segmentation of relevant textures in agricultural images

    M. Guijarro;G. Pajares;I. Riomoros;P. J. Herrera

  • Original paper: Real-time image processing for crop/weed discrimination in maize fields

    Xavier P. Burgos-Artizzu;Angela Ribeiro;Maria Guijarro;Gonzalo Pajares

  • An air-ground wireless sensor network for crop monitoring

    João Valente;David Sanz;Antonio Barrientos;Jaime del Cerro

  • Automatic detection of crop rows in maize fields with high weeds pressure

    M. Montalvo;G. Pajares;J. M. Guerrero;J. Romeo

  • A computer vision approach for weeds identification through Support Vector Machines

    Alberto Tellaeche;Gonzalo Pajares;Xavier P. Burgos-Artizzu;Angela Ribeiro

  • A vision-based method for weeds identification through the Bayesian decision theory

    Alberto Tellaeche;Xavier P. Burgos-Artizzu;Gonzalo Pajares;Angela Ribeiro

  • A new vision-based approach to differential spraying in precision agriculture

    Alberto Tellaeche;Xavier P. BurgosArtizzu;Gonzalo Pajares;Angela Ribeiro

  • Automatic expert system based on images for accuracy crop row detection in maize fields

    J. M. Guerrero;M. Guijarro;M. Montalvo;J. Romeo

  • An airfoil optimization technique for wind turbines

    A.F.P. Ribeiro;A.M. Awruch;H.M. Gomes

  • Improving weed pressure assessment using digital images from an experience-based reasoning approach

    Xavier P. Burgos-Artizzu;Angela Ribeiro;Alberto Tellaeche;Gonzalo Pajares

  • Analysis of natural images processing for the extraction of agricultural elements

    Xavier P. Burgos-Artizzu;Angela Ribeiro;Alberto Tellaeche;Gonzalo Pajares

  • A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method

    Unknown

  • Highlights and preliminary results for autonomous crop protection

    M. Pérez-Ruiz;P. Gonzalez-de-Santos;A. Ribeiro;C. Fernandez-Quintanilla

  • Mix-opt

    Jesus Conesa-Muñoz;Gonzalo Pajares;Angela Ribeiro

  • Route planning for agricultural tasks

    Jesus Conesa-Muñoz;José María Bengochea-Guevara;Dionisio Andujar;Angela Ribeiro

  • A Hopfield Neural Network for combining classifiers applied to textured images

    Gonzalo Pajares;María Guijarro;Angela Ribeiro

  • An Approach to the Use of Depth Cameras for Weed Volume Estimation

    Dionisio Andújar;José Dorado;César Fernández-Quintanilla;Angela Ribeiro

  • Crop Row Detection in Maize Fields Inspired on the Human Visual Perception

    J. Romeo;G. Pajares;M. Montalvo;J. M. Guerrero

  • Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops

    Dionisio Andújar;Angela Ribeiro;César Fernández-Quintanilla;José Dorado

  • Lattice–Boltzmann Aeroacoustic Analysis of the LAGOON Landing-Gear Configuration

    Damiano Casalino;André F. P. Ribeiro;Ehab Fares;Swen Nölting

  • An agent of behaviour architecture for unmanned control of a farming vehicle

    L. García-Pérez;M. C. García-Alegre;A. Ribeiro;D. Guinea

  • On-Ground Vineyard Reconstruction Using a LiDAR-Based Automated System.

    Hugo Moreno;Constantino Valero;José María Bengochea-Guevara;Ángela Ribeiro

  • Merge Fuzzy Visual Servoing and GPS-Based Planning to Obtain a Proper Navigation Behavior for a Small Crop-Inspection Robot

    José M. Bengochea-Guevara;Jesus Conesa-Muñoz;Dionisio Andújar;Angela Ribeiro

Frequent Co-Authors

Gonzalo Pajares
Gonzalo Pajares Complutense University of Madrid
Francisca López-Granados
Francisca López-Granados Spanish National Research Council

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