• A weed monitoring system using UAV-imagery and the Hough transform 

      Pérez-Ortiz, María; Peña, J.M.; Gutiérrez, P.A.; Torres-Sánchez, J.; Hervás-Martínez, César; López-Granados, Francisca (2015)
      Usually, crops require the use of herbicides as a useful manner of controlling the quality and quantity of crop production. Although there are weed-free areas, the most common approach is to broadcast herbicides entirely ...
    • Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management 

      Mesas Carrascosa, Francisco Javier; Torres-Sánchez, Jorge; Clavero Rumbao, Inmaculada; García-Ferrer Porras, Alfonso; Borra-Serrano, Irene; López-Granados, Francisca; Peña, José Manuel (MDPI, 2015)
      This article describes the technical specifications and configuration of a multirotor unmanned aerial vehicle (UAV) to acquire remote images using a six-band multispectral sensor. Several flight missions were programmed ...
    • Assessment of the Persistence of Avena sterilis L. Patches in Wheat Fields for Site-Specific Sustainable Management 

      Castillejo-González, I.L.; Castro, Ana Isabel de; Jurado-Expósito, M.; Peña, José Manuel; García-Ferrer Porras, Alfonso; López-Granados, Francisca (MDPI, 2019)
      This paper aims to evaluate the spatial persistence of wild oat patches in four wheat fields over time to determine the economic feasibility of using late-season wild oat maps for early site-specific weed management (SSWM) ...
    • Classification of 3D Point Clouds Using Color Vegetation Indices for Precision Viticulture and Digitizing Applications 

      Mesas Carrascosa, Francisco Javier; Castro, Ana I. de; Torres-Sánchez, Jorge; Triviño Tarradas, Paula María; Jiménez Brenes, Francisco Manuel; García-Ferrer Porras, Alfonso; López-Granados, Francisca (MDPI, 2020)
      Remote sensing applied in the digital transformation of agriculture and, more particularly, in precision viticulture offers methods to map field spatial variability to support site-specific management strategies; these can ...
    • Object-Based Image Classification of Summer Crops with Machine Learning Methods 

      Gutiérrez, Pedro A.; Hervás-Martínez, César; Six, Johan; Plant, Richard E.; López-Granados, Francisca; Peña, José Manuel (MDPI, 2014)
      The strategic management of agricultural lands involves crop field monitoring each year. Crop discrimination via remote sensing is a complex task, especially if different crops have a similar spectral response and cropping ...
    • Quickbird image segmentation for mapping crops and their agro-environmental associated measures 

      Castillejo-González, I.L.; Peña-Barragán, J.M.; Jurado-Expósito, M.; Sánchez de la Orden, Manuel; García-Torres, L.; García-Ferrer Porras, Alfonso; López-Granados, Francisca (Asociación Española de Teledetección, 2009)
      En la últimas décadas han ido creciendo considerablemente los conocimientos y la sensibilización sobre la protección al medioambiente en muy diversas áreas, entre las que se encuentra la Agricultura. El uso intensivo ...
    • Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery 

      Pérez-Ortiz, María; Gutiérrez, Pedro A.; Torres-Sánchez, Jorge; Hervás-Martínez, César; López-Granados, Francisca; Peña, José Manuel (2017-03-30)
      This paper approaches the problem of weed mapping for precision agriculture, using imagery provided by Unmanned Aerial Vehicles (UAVs) from sun ower and maize crops. Precision agriculture referred to weed control is ...
    • Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping 

      Borra-Serrano, Irene; Peña, José Manuel; Torres-Sánchez, Jorge; Mesas Carrascosa, Francisco Javier; López-Granados, Francisca (MDPI, 2015)
      Unmanned aerial vehicles (UAVs) combined with different spectral range sensors are an emerging technology for providing early weed maps for optimizing herbicide applications. Considering that weeds, at very early ...