Francisca López Granados

Remote Sensing for Precision Agriculture and Weed Science
My research lines are mainly focused on the optimization of agrochemical applications by using site-specific (precision agriculture) strategies and developing the following objectives: 1) Characterization of spatial variability of biotic and abiotic factors for site-specific prescription, 2) Field spectroradiometry and Neural Networks applied to discriminate of weeds and crops: spectral libraries, 3) To detect and map weeds and other agronomic variables in herbaceous and woody crops by using remote sensing techniques and imagery from high resolution satellite and unmanned aerial vehicles (UAV), 4) To design, develop and evaluate OBIA (Objects-Based-Image-Analysis) procedures for geospatial analysis, image feature extraction, segmentation, tree geometry and vegetation classification in crops using digital cameras and multispectral sensors embedded in UAV.

P. Gónzalez-de-Santos, A. Ribeiro, C. Fernández-Quintanilla, F. López-Granados, M. Brandstoetter, S. Tomic, S. Pedrazzi, A. Peruzzi, G. Pajares, G. Kaplanis, M. Pérez-Ruiz, C. Valero, J. del Cerro, M. Vieri, G. Rabatel & B. Debilde. 2017. Fleets of robots for environmentally-safe pest control in agriculture. Precision Agriculture. doi:10.1007/s11119-016-9476-3. Download

F. López-Granados, J. Torres-Sánchez, A.I. de Castro, A. Serrano-Pérez, F.J. Mesas-Carrascosa & J.M. Peña. 2016. Object-based early monitoring of a grass weed in a grass crop using high resolution UAV imagery. Agronomy for Sustainable Development, 36(4): paper 67. doi:10.1007/s13593-016-0405-7. Download

F. López-Granados, J. Torres-Sánchez, A. Serrano-Pérez, A.I. de Castro, F.J. Mesas-Carrascosa & J.M. Peña. 2016. Early season weed mapping in sunflower using UAV technology: variability of herbicide treatment maps against weed thresholds. Precision Agriculture, 17(2): 183–199. doi:10.1007/s11119-015-9415-8. Download

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, 114: 43–52. doi:10.1016/j.compag.2015.03.019.

J. M. Peña-Barragán, J. Torres-Sánchez, A. Serrano-Pérez, 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: 5609-5626. doi:10.3390/s150305609 (open access). Download

I. L. Castillejo-González, J. M. Peña-Barragán, M. Jurado-Expósito, F. J. Mesas-Carrascosa & 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 & 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.

D. Gómez-Candón, A. I. De-Castro & F. López-Granados. 2014. Assessing the accuracy of mosaics from unmanned aerial vehicle (UAV) imagery for precision agriculture purposes. Precision Agriculture, 15: 44-56. doi:10.1007/s11119-013-9335-4.

J. M. Peña-Barragán, P. A. Gutiérrez-Peña, C. Hervás-Martínez, J. Six, R.E. Plant & F. López-Granados. 2014. Object-based image classification of summer crops with machine-learning methods. Remote Sensing 6, 5019-5041. doi: 10.3390/rs6065019 (open access). Download

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 (open access). Download

J. Torres-Sánchez, F. López-Granados, A. I. De-Castro & 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 (open access). Download

2017

P. González-de-Santos, A. Ribeiro, C. Fernández-Quintanilla, F. López-Granados, M. Brandstoetter, S. Tomic, S. Pedrazzi, A. Peruzzi, G. Pajares, G. Kaplanis, M. Pérez-Ruiz, C. Valero, J. del Cerro, M. Vieri, G. Rabatel & B. Debilde. 2017. Fleets of robots for environmentally-safe pest control in agriculture. Precision Agriculture. doi:10.1007/s11119-016-9476-3


 

2016

a

F. López-Granados, J. Torres-Sánchez, A.I. de Castro, A. Serrano-Pérez, F.J. Mesas-Carrascosa & J.M. Peña. 2016. Object-based early monitoring of a grass weed in a grass crop using high resolution UAV imagery. Agronomy for Sustainable Development, 36(4): paper 67. doi:10.1007/s13593-016-0405-7.

a

F.J. Mesas-Carrascosa, I. Clavero-Rumbao, J. Torres-Sánchez, A. García-Ferrer, J.M. Peña & F. López-Granados. 2016. Accurate ortho-mosaicked six-band multispectral UAV images as affected by mission planning for precision agriculture proposes. International Journal of Remote Sensing, 38(8-10): 2161-2176. http://dx.doi.org/10.1080/01431161.2016.1249311.

 

M. Pérez-Ortiz, J.M.Peña, P.A. Gutiérrez, J. Torres-Sánchez, C. Hervás-Martínez & F. López-Granados. 2016. Selecting patterns and features for between- and within- crop-row weed mapping using UAV imagery. Expert Systems with Applications, 47: 85-94. doi:10.1016/j.eswa.2015.10.043.

 

F. López-Granados, J. Torres-Sánchez, A. Serrano-Pérez, A.I. de Castro, F.J. Mesas-Carrascosa & J.M. Peña. 2016. Early season weed mapping in sunflower using UAV technology: variability of herbicide treatment maps against weed thresholds. Precision Agriculture, 17(2): 183–199. doi:10.1007/s11119-015-9415-8.


 

2015

 

F.J. Mesas-Carrascosa, J. Torres-Sánchez, I. Clavero-Rumbao, A. García-Ferrer, J.M. Peña, I. Borra-Serrano & F. López-Granados. 2015. Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management. Remote Sensing, 7(10): 12793-12814. doi:10.3390/rs71012793

 

M. Pérez-Ortiz, J.M. Peña, P.A. Gutiérrez, J. Torres-Sánchez, C. Hervás-Martínez & F. López-Granados. 2015. A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method. Applied Soft Computing, 37 (2015): 533–544. http://dx.doi.org/10.1016/j.asoc.2015.08.027.

 

I. Borra-Serrano, J.M. Peña, J. Torres-Sánchez, F.J. Mesas-Carrascosa & F. López-Granados. 2015. Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping. Sensors, 15: 19688-19708. doi:10.3390/s150819688.

 

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. https://doi.org/10.1371/journal.pone.0130479.

 

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, 114: 43–52. doi:10.1016/j.compag.2015.03.019.

 

J. M. Peña-Barragán, J. Torres-Sánchez, A. Serrano-Pérez, 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: 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.


 

2014

 

I. L. Castillejo-González, J. M. Peña-Barragán, M. Jurado-Expósito, F. J. Mesas-Carrascosa & 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 & 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.

 

D. Gómez-Candón, A. I. De-Castro & F. López-Granados. 2014. Assessing the accuracy of mosaics from unmanned aerial vehicle (UAV) imagery for precision agriculture purposes. Precision Agriculture, 15: 44-56. doi:10.1007/s11119-013-9335-4.

 

L. García-Torres, J. J. Caballero-Novella, D. Gómez-Candón & A. I. De-Castro. 2014. Semi-Automatic Normalization of Multitemporal Remote Images Based on Vegetative Pseudo-Invariant Features. PLOS ONE, 9(3): e91275. doi:10.1371/journal.pone.0091275.

 

J. M. Peña-Barragán, P. A. Gutiérrez-Peña, C. Hervás-Martínez, J. Six, R.E. Plant & F. López-Granados. 2014. Object-based image classification of summer crops with machine-learning methods. Remote Sensing, 6: 5019-5041. doi: 10.3390/rs6065019.


 

2013

 

J. M. Peña-Barragán, 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.

 

A. I. De-Castro, F. López-Granados & M. Jurado-Expósito. 2013. Broad-scale cruciferous weed patch classification in winter wheat using QuickBird imagery for in-season site-specific control. Precision Agriculture, 14: 392-413. doi:10.1007/s11119-013-9304-y.

 

J. Torres-Sánchez, F. López-Granados, A. I. De-Castro & 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 & 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.


 

2012

 

M. Cruz-Ramírez, C. Hervás-Martínez, M. Jurado-Expósito & F. López-Granados. 2012. A multi-objective neural network based method for cover crop identification from remote sensed data. Expert Systems with Applications, 39: 10038-10048. doi:10.1016/j.eswa.2012.02.046.

 

D. Gómez-Candón, F. López-Granados, J. J. Caballero-Novella, J. M. Peña-Barragán & 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 & 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 & 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 & 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 & 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.

 

A. I. De-Castro, M. Jurado-Expósito, M. T. Gómez-Casero & F. López-Granados. 2012. Applying neural networks to hyperspectral and multispectral field data for discrimination of cruciferous weeds in winter crops. The Scientific World Journal, 2012: 1-11. doi:10.1100/2012/630390.


 

2011

 

F. López-Granados. 2011. Weed detection for site-specific weed management: mapping and real-time approaches. Weed Research, 51: 1-11. doi:10.1111/j.1365-3180.2010.00829.x.

 

D. Gómez-Candón, F. López-Granados, J. J. Caballero-Novella, M. Jurado-Expósito & L. García-Torres. 2011. Geo-referencing remote images for precision agriculture using artificial terrestrial targets. Precision Agriculture, 12: 876-891. doi:10.1007/s11119-011-9228-3.


 

2010

 

F. López-Granados, M. T. Gómez-Casero, J. M. Peña-Barragán, M. Jurado-Expósito & L. García-Torres. 2010. Classifying irrigated crops as affected by phenological stage using discriminant analysis and neural networks. Journal of the American Society for Horticultural Sciences, 135(5): 465-473.

 

C. Hervás-Martínez, P. A. Gutiérrez-Peña, J. M. Peña-Barragán, M. Jurado-Expósito & F. López-Granados. 2010. A logistic radial basis function regression method for discrimination of cover crops in olive orchards. Expert Systems With Applications, 37: 8432-8444. doi:10.1016/j.eswa.2010.05.035.

 

J. M. Peña-Barragán, F. López-Granados, M. Jurado-Expósito & L. García-Torres. 2010. Sunflower yield related to multitemporal aerial photography, land elevation and weed infestation. Precision Agriculture, 11(5): 568-585. doi:10.1007/s11119-009-9149-6.

 

M. T. Gómez-Casero, I. L. Castillejo-González, A. García-Ferrer, J. M. Peña-Barragán, M. Jurado-Expósito, L. García-Torres & F. López-Granados. 2010. Spectral discrimination of wild oat and canary grass in wheat fields for less herbicide application. Agronomy for Sustainable Development, 30: 689-699. doi:10.1051/agro/2009052.


 

2009

 

L. García-Torres, D. Gómez-Candón, J. M. Peña-Barragán, M. Jurado-Expósito, A. García-Ferrer, I. L. Castillejo-González & F. López-Granados. 2009. Olive orchards from the sky, characterization through remote sensing. Vida Rural, 296: 60-66.

 

I. L. Castillejo-González, F. López-Granados, A. García-Ferrer, J. M. Peña-Barragán, M. Jurado-Expósito, M. Sánchez de la Orden & M. González-Audicana. 2009. Object and pixel-based classification for mapping crops and their agri-environmental associated measures in QuickBird images. Computers and Electronics in Agriculture, 68: 207-215. doi:10.1016/j.compag.2009.06.004.

 

P. A. Gutiérrez-Peña, C. Hervás-Martínez, J. C. Fernández-Caballero, M. Jurado-Expósito, J. M. Peña-Barragán & F. López-Granados. 2009. Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data. Neural Network World, 19: 3-20.

 

M. Jurado-Expósito, F. López-Granados, J. M. Peña-Barragán & L. García-Torres. 2009. A digital elevation model to aid geostatistical mapping of weeds in sunflower crops. Agronomy for Sustainable Development, 29: 391-400. doi:10.1051/agro:2008045.


 

2008

 

P. A. Gutiérrez-Peña, F. López-Granados, J. M. Peña-Barragán, M. Jurado-Expósito & C. Hervás-Martínez. 2008. Logistic regression product unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data. Computers and Electronics in Agriculture, 64: 293-306. doi:10.1016/j.compag.2008.06.001.

 

J. M. Peña-Barragán, F. López-Granados, L. García-Torres, M. Jurado-Expósito, M. Sánchez de la Orden & A. García-Ferrer. 2008. Discriminating cropping systems and agro-environmental measures by remote sensing. Agronomy for Sustainable Development, 28: 355-362. doi:10.1051/agro:2007049.

 

L. García-Torres, J. M. Peña-Barragán, F. López-Granados, M. Jurado-Expósito & R. López-Escobar. 2008. Automatic assessment of agro-environmental indicators from remotely sensed images of tree orchards and its evaluation using olive groves indicators plantations. Computers and Electronics in Agriculture, 61: 179-191. doi:10.1016/j.compag.2007.11.004. El trabajo recogido en esta publicación ha dado lugar a una patente, de nº: 2007-00256.

 

P. A. Gutiérrez-Peña, F. López-Granados, J. M. Peña-Barragán, M. Jurado-Expósito, M. T. Gómez-Casero & C. Hervás-Martínez. 2008. Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying evolutionary product unit neural network to remote sensed data. Computers and Electronics in Agriculture, 60: 122-132. doi:10.1016/j.compag.2007.07.011.

 

F. López-Granados, J. M. Peña-Barragán, M. Jurado-Expósito, M. Francisco-Fernández, R. Cao, A. Alonso-Betanzos & O. Fontenla-Romero. 2008. Multispectral classification of grass weeds and wheat (Triticum durum) crop using linear and non parametric functional discriminant analysis and neural networks. Weed Research, 48: 28-37. doi:10.1111/j.1365-3180.2008.00598.x.


 

2007

 

M. T. Gómez-Casero, F. López-Granados, J. M. Peña-Barragán, M. Jurado-Expósito, R. Fernández-Escobar & L. García-Torres. 2007. Assessing nitrogen and potassium deficiencies in olive orchards through discriminant analysis of hyperspectral data. Journal of the American Society for Horticultural Sciences, 132: 611-618.

 

J. M. Peña-Barragán, F. López-Granados, M. Jurado-Expósito & L. García-Torres. 2007. Mapping Ridolfia segetum patches in sunflower crop using remote sensing. Weed Research, 47: 164-172. doi:10.1111/j.1365-3180.2007.00553.x.


 

2006

 

M. Francisco-Fernández, M. Jurado-Expósito, J. D. Opsomer & F. López-Granados. 2006. A non parametric analysis of the spatial distribution of Convolvulus arvensis in wheat-sunflower rotations. Environmetrics, 17: 849-860. doi:10.1002/env.803.

 

F. López-Granados, M. Jurado-Expósito, J. M. Peña-Barragán & L. García-Torres. 2006. Using remote sensing for identification of late season grass weed patches in wheat. Weed Science, 54: 346-353. doi:10.1043/0043-1745(2006)54[346:URSFIO]2.0.CO;2.

 

J. M. Peña-Barragán, F. López-Granados, M. Jurado-Expósito & L. García-Torres. 2006. Spectral discrimination of Ridolfia segetum and sunflower as affected by phenological stage. Weed Research, 46: 10-21. doi: 10.1111/j.1365-3180.2006.00488.x.


 

2005

 

F. López-Granados, M. Jurado-Expósito, J. M. Peña-Barragán & L. García-Torres. 2005. Using geostatistical and remote sensing approaches for mapping soil properties. European Journal of Agronomy, 23: 279-289. doi:10.1016/j.eja.2004.12.003.

 

M. Jurado-Expósito, F. López-Granados, J. L. González-Andújar & L. García-Torres. 2005. Characterizing population growth rate of Convolvulus arvensis L. in wheat-sunflower no-tillage systems. Crop Science, 45: 2106-2112. doi:10.2135/cropsci2004.0502.

Mapping agro-forestry features by using imagery from unmanned aerial vehicles (attached pdf)

  • Teacher in course: Aplicación de Aviones no Tripulados (UAV) en el ámbito agroforestal. Curso de Extensión Universitaria de la Universidad de Córdoba.
  • Teacher in course: Experto en Sanidad Vegetal para asesores en gestión integrada de plagas.Innovaciones en el diagnóstico y manejo integrado de enfermedades, plagas y malas hierbas de cultivos y masas forestales“. Curso de Título Propio de la Universidad de Córdoba.

Other webs associated to Francisca López Granados where look up more articles and projects information: