Publications

Scientific Journals

 

  1. López-Granados, F., Torres-Sánchez, J., Serrano-Pérez, A., Castro, A. I. de, Mesas-Carrascosa, F.-J., Peña, J.M. (2016). Early season weed mapping in sunflower using UAV technology: variability of herbicide treatment maps against weed thresholds. Precision Agriculture, 17(2), 183–199.
  2. López-Granados, F., Torres-Sánchez, J., de Castro, A. I., Serrano-Pérez, A., Mesas-Carrascosa, F. J., Peña, J.M. (2016). Object-based early monitoring of a grass weed in a grass crop using high resolution UAV imagery. Agronomy for Sustainable Development, 36(4), 67.
  3. Mesas-Carrascosa, F. J., Rumbao, I. C., Torres-Sánchez, J., García-Ferrer, A., Peña, J.M., Granados, F. L. (2016). Accurate ortho-mosaicked six-band multispectral UAV images as affected by mission planning for precision agriculture proposes. International Journal of Remote Sensing, 0(0), 1–16.
  4. Pérez-Ortiz, M., Peña, J.M., Gutiérrez, P. A., Torres-Sánchez, J., Hervás-Martínez, C., López-Granados, F. (2016). Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery. Expert Systems with Applications, 47, 85–94.
  5. Torres-Sánchez, J., López-Granados, F., Peña, J.M. (2015). Mapping olive-tree geometric features from 3D models generated with an unmanned aerial vehicle. In Precision Agriculture´15 (Vol. 1, pp. 321–328). Wageningen Academic Publishers.
  6. Torres-Sánchez, J., López-Granados, F., Peña, J.M. (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.
  7. J. Torres-Sánchez, F. López-Granados, N. Serrano, O. Arquero, 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
  8. J. Torres-Sánchez, F. López-Granados, 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, 6(114), 43-52. doi:10.1016/j.compag.2015.03.019
  9. J.M. Peña, J. Torres-Sánchez, A. Serrano, A.I. de Castro, 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(3), 5609-5626. doi:10.3390/s150305609
  10. J.M. Peña, J. Torres-Sánchez, A. Serrano, F. López-Granados. 2014. Detección de malas hierbas en girasol en fase temprana mediante imágenes tomadas con un vehículo aéreo no tripulado (UAV). Revista de Teledetección, 42(3): 39-48. doi:10.4995/raet.2014.3148
  11. J. Torres-Sánchez, J.M. Peña, A.I. de Castro, 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
  12. J.M. Peña, J. Torres-Sánchez, A.I. de Castro, M. Kelly, 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
  13. J. Torres-Sánchez, F. López-Granados, A.I. de Castro, J.M. Peña. 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

Conferences

  1. M. Pérez Ortiz, P.A. Gutiérrez, J.M. Peña, J. Torres-Sánchez, F. López Granados, C. Hervás Martínez. 2016. Machine Learning paradigms for Weed Mapping via Unmanned Aerial Vehicles. 2016 IEEE Symposium Series on Computational Intelligence, December 7-9, 2016. Athens, Greece.
  2. F.M. Jiménez Brenes, J. Torres Sánchez, F. López Granados, Ana I. de Castro, N. Serrano, J.M. Peña. 2016. Assessment of pruning intensity from 3-D olive-tree models generated with UAV technology. VIII International Olive Symposium, October 11-14, 2016. Split, Croatia.
  3. J.M. Peña, J. Torres Sánchez; Ana I. de Castro; F. López Granados, 2016. The full protocol for early-season weed mapping with UAV technology. 7th International Weed Science Congress, June 20-24, 2016. Prague, Czech Republic.
  4. J. Torres-Sánchez, F. López-Granados, J.M. Peña. 2015. Mapping olive-tree geometric features from 3-D models generated with an Unmanned Aerial Vehicle (UAV). 10th European Conference on Precision Agriculture (10th ECPA), July 12-16, 2015. Volcani Center, Tel-aviv, Israel, pp. 321-328. (Best Paper AWARD).
  5. J.M. Peña. 2015. The TOAS project: UAV technology for optimizing herbicide applications in weed-crop systems. First Workshop for UAV Applications in Agriculture. CREC-University of Florida. Lake Alfred, FL, USA.
  6. J.M. Peña. 2015. Avances en teledetección y uso de drones para la monitorización de cultivos. 13º Symposium Nacional de Sanidad Vegetal. Seville, Spain.
  7. J. Torres-Sánchez, F. López Granados, N. Serrano, O. Arquero, R. Fernández-Escobar J.M. Peña. 2014. Characterizing olive tree geometric features using unmanned aerial vehicle (UAV) images. Olivebioteq 2014. Amman, Jordania.
  8. J.M. Peña, J. Torres-Sánchez, A.I. de Castro, F. López Granados, J. Dorado. 2014. The TOAS project: UAV technology for optimizing herbicide applications in weed-crop systems. 12th International Conference on Precision Agriculture. Sacramento (CA), USA. (Best Young Researcher in Precision Agriculture AWARD).
  9. J. Torres-Sánchez, J.M. Peña, A.I. de Castro, A. Serrano-Pérez. F. López Granados. 2014. Weed seedlings detection in winter cereals for site-specific control: use of UAV imagery to overcome the challenge. 12th International Conference on Precision Agriculture. Sacramento (CA), USA.
  10. J.M. Peña, J. Torres-Sánchez, A.I. de Castro, A. Serrano-Pérez, F. López Granados. 2014. Comparing visible and color-infrared UAV imagery for early-season weed mapping: the case of maize as a wide row crop. 2nd International Conference on Robotics and associated High-technologies and Equipment for Agriculture and Forestry. Madrid.
  11. J. Torres-Sánchez, J.M. Peña, A.I. de Castro, F. López Granados. 2014. Multitemporal weed mapping using UAV imagery for early site-specific control: the case of wheat as a narrow row crop. 2nd International Conference on Robotics and associated High-technologies and Equipment for Agriculture and Forestry. Madrid.
  12. F.J. Mesas-Carrascosa, J. Torres-Sánchez, J.M. Peña, A. García-Ferrer, I. L. Castillejo-González, F. López Granados. 2014. Generating UAV accurate ortho-mosaicked images using a six-band multispectral camera arrangement. 2nd International Conference on Robotics and associated High-technologies and Equipment for Agriculture and Forestry. Madrid.
  13. J.M. Peña Barragán. 2014. Análisis de imágenes UAV con eCognition: Aplicación en la monitorización de cultivos. Jornada Técnica GTBIbérica – Geotronics. Madrid, Spain.
  14. J.M. Peña Barragán, A.I. de Castro, J. Torres Sánchez, F. López Granados. 2013. Imágenes multiespectrales procedentes de un vehículo aéreo no tripulado (UAV): Una innovación tecnológica para la detección de malas hierbas en fase temprana. XIV Congreso de la Sociedad Española de Malherbología. Valencia, Spain.
  15. J. Torres Sánchez, J. M. Peña Barragán, A. I. de Castro Megías, F. López
    Granados. 2013. Puesta a punto de un vehículo aéreo no tripulado (UAV) para detección de malas hierbas en fase temprana: resolución espacial y altura de vuelo. XIV Congreso de la Sociedad Española de Malherbología. Valencia, Spain.
  16. J. Torres Sánchez, J. M. Peña Barragán, A. I. de Castro Megías, F. López
    Granados. 2013. Seguimiento multi-temporal de trigo para la detección de malas hierbas en imágenes tomadas desde un vehículo aéreo no tripulado (UAV). XV Congreso Nacional de la Asociación Española de Teledetección. Madrid, Spain.
  17. D. Gómez Candón, J. M. Peña Barragán, A. I. de Castro, F. López Granados. 2013. Accuracy and crop line misalignment over high resolution ortho-mosaics from Unmanned Aerial Vehicles. 9th European Conference on Precision Agriculture. Lleida, Spain.
  18. J. Torres Sánchez, J. M. Peña Barragán, D. Gómez Candón, A.I. de Castro, F. López
    Granados. 2013. Imagery from unmanned aerial vehicles (UAV) for site specific weed management.  9th European Conference on Precision Agriculture. Lleida, Spain. (Second Best Oral Communication AWARD).
  19. S. Labbé, D Gómez Candón, G. El Natour, J. Dorado, C. Fernández Quintanilla, F. López Granados, J.M.Peña Barragán, A.I. de Castro, J Torres Sánchez, G. Rabatel. 2012. Automatic mosaicking of very high spatial resolution UAV multispectral images for precision agriculture: Test of MICMAC freeware. First International Conference on Robotics and associated High-technologies and Equipment for Agriculture. Pisa, Italy.
  20. J.M. Peña Barragán, M. Kelly, A.I. de Castro, M. Jurado Expósito, F. López Granados. 2012. Discrimination of crop rows using object-based approaches in UAV images for early site-specific weed management in maize fields. First International Conference on Robotics and associated High-technologies and Equipment for Agriculture. Pisa, Italy.
  21. D. Gómez Candón, J.M. Peña Barragán, A.I. de Castro, M. Jurado Expósito, F. López Granados. 2012. Mosaicking UAV imagery for precision agriculture purposes: effect of flying altitude. First International Conference on Robotics and associated High-technologies and Equipment for Agriculture. Pisa, Italy.
  22. J.M. Peña Barragán, M. Kelly, A.I. de Castro, F. López Granados. 2012. Object-based approach for crop row characterization in UAV images for site-specific weed management. 4th International Conference on Geographic Object-Based Image Analysis (4th GEOBIA). Río de Janeiro, Brazil.
  23. J.M. Peña Barragán. 2011. Weed-crop discrimination in Unmanned Aerial Vehicle (UAV) images. UC Berkeley Geolunch Seminars. Berkeley, CA, USA.

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