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José M. Peña

José M. Peña

D-Index & Metrics

Computer Science

D-Index
42
Citations
10296
World Ranking
8233
National Ranking
497

Overview

José M. Peña is affiliated with Lurtis Rules in the United Kingdom and has a research focus spanning Agricultural and Biological Sciences, Mathematics, and Environmental Science. Their work extends into several specialized subfields, including Statistics and Probability, Plant Science, Ecology, Environmental Engineering, and Analytical Chemistry.

The scientist's research interests encompass various topics, notably Remote Sensing in Agriculture, Advanced Causal Inference Techniques, Smart Agriculture and AI, Statistical Methods and Inference, Remote Sensing and LiDAR Applications, Horticultural and Viticultural Research, and Spectroscopy and Chemometric Analyses.

José M. Peña has contributed to multiple recent scientific publications. Among them are:

  • "UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions" (2021, Remote Sensing)
  • "Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review" (2023, Frontiers in Plant Science)
  • "A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the 'Cipolla Rossa di Tropea' (Italy)" (2020, Remote Sensing)
  • "Transfer and zero-shot learning for scalable weed detection and classification in UAV images" (2024, Knowledge-Based Systems)
  • "How weed management influence plant community composition, taxonomic diversity and crop yield: A long-term study in a Mediterranean vineyard" (2021, Agriculture Ecosystems & Environment)

The scientist collaborates frequently with other researchers, including José Dorado, Ana Isabel de Castro, Gustavo A. Mesías-Ruiz, César Fernández-Quintanilla, and J. G. M. Guerra. These ongoing partnerships have resulted in a substantial corpus of joint publications.

Publication venues where José M. Peña has frequently published include:

  • arXiv (Cornell University)
  • Remote Sensing
  • Journal of Causal Inference
  • SSRN Electronic Journal
  • Computers and Electronics in Agriculture

In addition to articles, Peña has authored a book titled Insights in Functional Plant Ecology 2022, published by Frontiers Media in 2023.

Best Publications

  • An empirical comparison of four initialization methods for the K-Means algorithm

    J.M Peña;J.A Lozano;P Larrañaga

  • Object-based crop identification using multiple vegetation indices, textural features and crop phenology

    José M. Peña-Barragán;Moffatt K. Ngugi;Richard E. Plant;Johan Six

  • Feature selection for multi-label naive Bayes classification

    Min-Ling Zhang;José M. Peña;Victor Robles

  • Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV

    J. Torres-Sánchez;J.M. Peña;A.I. de Castro;F. López-Granados

  • Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images.

    José Manuel Peña;Jorge Torres-Sánchez;Ana Isabel de Castro;Maggi Kelly

  • Evaluation of autofocus functions in molecular cytogenetic analysis

    A. Santos;C. Ortiz De Solórzano;J. J. Vaquero;J. M. Peña

  • Object- and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery

    Isabel Luisa Castillejo-González;Francisca López-Granados;Alfonso García-Ferrer;José Manuel Peña-Barragán

  • An automatic object-based method for optimal thresholding in UAV images

    J. Torres-Sánchez;F. López-Granados;J.M. Peña

  • An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

    Ana I. de Castro;Jorge Torres-Sánchez;José M. Peña;Francisco Manuel Jiménez-Brenes

  • Optimization in Continuous Domains by Learning and Simulation of Gaussian Networks

    Pedro Larrañaga;Ramón Etxeberria;Jose Antonio Lozano;Jose Manuel Peña

  • High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology

    Jorge Torres-Sánchez;Francisca López-Granados;Nicolás Serrano;Octavio Arquero

  • Quantifying efficacy and limits of unmanned aerial vehicle (UAV) technology for weed seedling detection as affected by sensor resolution.

    José M. Peña;Jorge Torres-Sánchez;Angélica Serrano-Pérez;Ana I. de Castro

  • Object-Based Image Classification of Summer Crops with Machine Learning Methods

    José M. Peña;Pedro Antonio Gutiérrez;César Hervás-Martínez;Johan Six

  • Consistent Feature Selection for Pattern Recognition in Polynomial Time

    Roland Nilsson;José M. Peña;Johan Björkegren;Jesper Tegnér

  • A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

    M. Pérez-Ortiz;J.M. Peña;P.A. Gutiérrez;J. Torres-Sánchez

  • Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery

    María Pérez-Ortiz;José Manuel Peña;Pedro Antonio Gutiérrez;Jorge Torres-Sánchez

  • Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management

    Francisco-Javier Mesas-Carrascosa;Jorge Torres-Sánchez;Inmaculada Clavero-Rumbao;Alfonso García-Ferrer

  • Combinatorial optimization by learning and simulation of Bayesian networks

    Pedro Larrañaga;Ramon Etxeberria;Jose Antonio Lozano;Jose Manuel Peña

  • Assessing UAV-collected image overlap influence on computation time and digital surface model accuracy in olive orchards

    Jorge Torres-Sánchez;Francisca López-Granados;Irene Borra-Serrano;José Manuel Peña

  • UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions

    Ana I. de Castro;Yeyin Shi;Joe Mari Maja;Jose M. Peña

  • Quantifying pruning impacts on olive tree architecture and annual canopy growth by using UAV-based 3D modelling

    F. M. Jiménez-Brenes;F. López-Granados;A. I. de Castro;J. Torres-Sánchez

  • 3-D Characterization of Vineyards Using a Novel UAV Imagery-Based OBIA Procedure for Precision Viticulture Applications

    Ana I. de Castro;Francisco Manuel Jiménez-Brenes;Jorge Torres-Sánchez;José M. Peña

  • Mapping the 3D structure of almond trees using UAV acquired photogrammetric point clouds and object-based image analysis

    Jorge Torres-Sánchez;Ana I. de Castro;José M. Peña;Francisco M. Jiménez-Brenes

  • GA-EDA: hybrid evolutionary algorithm using genetic and estimation of distribution algorithms

    J. M. Peña;V. Robles;P. Larrañaga;V. Herves

  • A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity

    Fernando Maestú;Jose Maria Peña;Pilar Garcés;Santiago González

  • Dimensionality reduction in unsupervised learning of conditional Gaussian networks

    J.M. Pena;J.A. Lozano;P. Larranaga;I. Inza

  • Advances in Intelligent Data Analysis VI

    A. Fazel Famili;Joost N. Kok;José M. Peña;Arno Siebes

  • Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley

    Victor P. Rueda-Ayala;José M. Peña;Mats Höglind;José M. Bengochea-Guevara

  • An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering

    J. M. Peña;J. A. Lozano;P. Larrañaga

Frequent Co-Authors

Francisca López-Granados
Francisca López-Granados Spanish National Research Council
Pedro Larrañaga
Pedro Larrañaga Technical University of Madrid
Javier DeFelipe
Javier DeFelipe Technical University of Madrid
Fernando Maestú
Fernando Maestú Complutense University of Madrid
Massimiliano Zanin
Massimiliano Zanin University of the Balearic Islands
Joost N. Kok
Joost N. Kok University of Twente
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Sascha Ossowski
Sascha Ossowski King Juan Carlos University
Jyrki P. Mäkelä
Jyrki P. Mäkelä University of Helsinki
Eero Pekkonen
Eero Pekkonen University of Helsinki

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