José Manuel Peña Barragán

Investigador Ramón y Cajal en IAS-CSIC

Datos básicos

Nombre: José Manuel Peña Barragán

About me: Investigador Ramón y Cajal en IAS-CSIC

Localization: Instituto de Agricultura Sostenible, Alameda del Obispo, Córdoba, España

Publicaciones
  • J. Torres-Sánchez, F. López-Granados, N. Serrano, O. Arquero y J.M. Peña. 2015. High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology. PLOS ONE, 10(6): e0130479. doi: 10.1371/journal.pone.0130479. 
  • J. Torres-Sánchez, F. López-Granados y J.M. Peña. 2015. An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops. Computers and Electronics in Agriculture, 114: 43-52. doi:10.1016/j.compag.2015.03.019.
  • J. M. Peña, J. Torres-Sánchez, A. Serrano-Pérez, A. I. De-Castro y F. López-Granados. 2015. Quantifying efficacy and limits of Unmanned Aerial Vehicle (UAV) technology for weed seedling detection as affected by sensor resolution. Sensors, 15: 5609-5626. doi:10.3390/s150305609.
  • L. García-Torres, J. J. Caballero-Novella, D. Gómez-Candón, J. M. Peña-Barragán. 2015. Census Parcels Cropping System Classification from Multitemporal Remote Imagery: A Proposed Universal Methodology. PLOS ONE, 10(2): e0117551. doi:10.1371/journal.pone.0117551. 
  • I. L. Castillejo-González, J. M. Peña-Barragán, M. Jurado-Expósito, F. J. Mesas-Carrascosa y F. López-Granados. 2014. Evaluation of pixel-and object-based approaches for mapping wild oat (Avena sterilis) weed patches in wheat fields using QuickBird imagery for site-specific management. European Journal of Agronomy, 59: 57-66. doi: 10.1016/j.eja.2014.05.009. 
  • J. Torres-Sánchez, J. M. Peña-Barragán, A. I. De-Castro y F. López-Granados. 2014. Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV. Computers & Electronics in Agriculture, 103: 104-113. doi:10.1016/j.compag.2014.02.009. 
  • J. M. Peña-Barragán, P. A. Gutiérrez-Peña, C. Hervás-Martínez, J. Six, R.E. Plant y F. López-Granados. 2014. Object-based image classification of summer crops with machine-learning methods. Remote Sensing, 6: 5019-5041. doi: 10.3390/rs6065019.
  • J. M. Peña-Barragán, J. Torres-Sánchez, A. I. De-Castro, M. Kelly y F. López-Granados. 2013. Weed mapping in early-season maize fields using object-based analysis of Unmanned Aerial Vehicle (UAV) images. PLOS ONE, 8(10): e77151. doi:10.1371/journal.pone.0077151. 
  • J. Torres-Sánchez, F. López-Granados, A. I. De-Castro y J. M. Peña-Barragán. 2013. Configuration and specifications of an Unmanned Aerial Vehicle (UAV) for early site specific weed management. PLOS ONE, 8(3): e58210. doi:10.1371/journal.pone.0058210. 
  • D. Gómez-Candón, F. López-Granados, J. J. Caballero-Novella, J. M. Peña-Barragán, M. T. Gómez-Casero, M. Jurado-Expósito y L. García-Torres. 2013. Semi-automatic detection of artificial terrestrial targets for image co-registration. Geoscience and Remote Sensing Letters, 10: 184-188. doi:10.1109/LGRS.2012.2197729.
  • D. Gómez-Candón, F. López-Granados, J. J. Caballero-Novella, J. M. Peña-Barragán y L. García Torres. 2012. Understanding the errors in input prescription maps based on high spatial resolution remote sensing images. Precision Agriculture, 13: 581-593. doi:10.1007/s11119-012-9270-9.
  • D. Gómez-Candón, F. López-Granados, J. J. Caballero-Novella, A. García-Ferrer, J. M. Peña-Barragán, M. Jurado-Expósito y L. García-Torres. 2012. Sectioning remote imagery for characterization of Avena sterilis infestations. Part A: Weed abundance. Precision Agriculture, 13: 322-336. doi:10.1007/s11119-011-9249-y. 
  • A. I. De-Castro, M. Jurado-Expósito, J. M. Peña-Barragán y F. López-Granados. 2012. Airborne multiespectral imagery for mapping cruciferous weeds in cereal and legume crops. Precision Agriculture, 13: 302-321. doi:10.1007/s11119-011-9247-0.
  • F. Fernández-Navarro, C. Hervás-Martínez, P. A. Gutiérrez-Peña, J.M. Peña-Barragán y F. López-Granados. 2012. Parameter estimation of q-Gaussian radial basis functions neural networks with a hybrid algorithm for binary classification. NeuroComputing, 75: 123-134. doi:10.1016/j.neucom.2011.03.056. 
  • D. Gómez-Candón, F. López-Granados, J. J. Caballero-Novella, A. García-Ferrer, J. M. Peña-Barragán, M. Jurado-Expósito y L. García-Torres. 2012. Sectioning remote imagery for characterization of Avena sterilis infestations. Part B: Efficiency and economics of control. Precision Agriculture, 13: 337-350. doi:10.1007/s11119-011-9250-5.
Enlaces
Contacto
  • Correo electrónico: jmpena@ias.csic.es
  • Edificio principal IAS – Despacho 5 planta alta
  • Teléfono: 957 49 92 65