Una primera aproximación a la componente "Diseño" en la industria agroalimentaria del sur de España

This work raises the need to open new research lines to bring closer "Design" and "Agri-food Industry", understanding design as a structured and multidisciplinary working process headed up to create products, images, spaces, etc. Within this framework, the following objectives have been outlined: i) Identification of the major design areas with regards to the agri-food sector, ii) Estimation of the importance of the "Design" component and iii) Definition of the possible lines of action. After carrying out a previous bibliometric analysis, which highlighted the lack of relevant bibliography regarding the design component in the agri-food sector, the Delphi method was selected as a suitable working methodology to interactively and systematically answer the aforementioned questions by relying on a panel of experts. The obtained results pointed out to the need of providing incentives for design in agri-food industry as a non-technological innovation aimed at increasing the added value and development of the sector. This should also help promote the design culture and push forward the creation of innovative business strategies.Este trabajo plantea la necesidad de abrir nuevas líneas de investigación en las que se relacione "Diseño" e "Industria Agroalimentaria", entendiendo el diseño como un proceso de trabajo estructurado y multidisciplinar orientado a crear productos, imágenes, espacios, etc. En dicho contexto, se han planteado los siguientes objetivos: i) Identificación de las principales áreas de diseño dentro del sector agroalimentario. ii) Estimación de la importancia de la componente "Diseño". iii) Definición de las principales líneas de acción. Tras un análisis bibliométrico previo, que puso de relieve la carencia de bibliografía relevante en cuanto a la componente de diseño en el sector agroalimentario, se decidió establecer como metodología de trabajo el método Delphi para responder de forma interactiva y sistemática a las cuestiones planteadas, mediante la consulta a un panel de personas expertas. Los hallazgos obtenidos apuntan a la necesidad de proporcionar nuevos incentivos para el diseño en la industria agroalimentaria, como innovación no tecnológica dirigida a aumentar el valor añadido y el desarrollo del sector. Lo que ayudaría además a promover la cultura del diseño y avanzar en la creación de estrategias empresariales innovadoras.Fil: González-Yebra, Óscar. Universidad de AlmeríaFil: Aguilar, Manuel A.. Universidad de AlmeríaFil: Aguilar, Fernando J.. Universidad de Almerí

A first approach to the Design Component in the agri-food industry of southern Spain

This work raises the need to open new research lines to bring closer "Design" and "Agri-food Industry", understanding design as a structured and multidisciplinary working process headed up to create products, images, spaces, etc. Within this framework, the following objectives have been outlined: i) Identification of the major design areas with regards to the agri-food sector, ii) estimation of the importance of the "Design" component and iii) definition of the possible lines of action. After carrying out a previous bibliometric analysis, which highlighted the lack of relevant bibliography regarding the design component in the agri-food sector, the Delphi method was selected as a suitable working methodology to interactively and systematically answer the aforementioned questions by relying on a panel of experts. The obtained results pointed out to the need of providing incentives for design in agri-food industry as a non-technological innovation aimed at increasing the added value and development of the sector. This should also help promote the design culture and push forward the creation of innovative business strategies.This work raises the need to open new research lines to bring closer "Design" and "Agri-food Industry", understanding design as a structured and multidisciplinary working process headed up to create products, images, spaces, etc. Within this framework, the following objectives have been outlined: i) Identification of the major design areas with regards to the agri-food sector, ii) estimation of the importance of the "Design" component and iii) definition of the possible lines of action. After carrying out a previous bibliometric analysis, which highlighted the lack of relevant bibliography regarding the design component in the agri-food sector, the Delphi method was selected as a suitable working methodology to interactively and systematically answer the aforementioned questions by relying on a panel of experts. The obtained results pointed out to the need of providing incentives for design in agri-food industry as a non-technological innovation aimed at increasing the added value and development of the sector. This should also help promote the design culture and push forward the creation of innovative business strategies

Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain)

tThis paper shows the first comparison between data from Sentinel-2 (S2) Multi Spectral Instrument (MSI)and Landsat 8 (L8) Operational Land Imager (OLI) headed up to greenhouse detection. Two closely relatedin time scenes, one for each sensor, were classified by using Object Based Image Analysis and RandomForest (RF). The RF input consisted of several object-based features computed from spectral bands andincluding mean values, spectral indices and textural features. S2 and L8 data comparisons were alsoextended using a common segmentation dataset extracted form VHR World-View 2 (WV2) imagery totest differences only due to their specific spectral contribution. The best band combinations to performsegmentation were found through a modified version of the Euclidian Distance 2 index. Four differentRF classifications schemes were considered achieving 89.1%, 91.3%, 90.9% and 93.4% as the best overallaccuracies respectively, evaluated over the whole study area

AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery

This letter presents the capabilities of a command line tool created to assess the quality of segmented digital images. The executable source code, called AssesSeg, was written in Python 2.7 using open source libraries. AssesSeg (University of Almeria, Almeria, Spain; Politecnico di Bari, Bari, Italy) implements a modified version of the supervised discrepancy measure named Euclidean Distance 2 (ED2) and was tested on different satellite images (Sentinel-2, Landsat 8, and WorldView-2). The segmentation was applied to plastic covered greenhouse detection in the south of Spain (Almería). AssesSeg outputs were utilized to find the best band combinations for the performed segmentations of the images and showed a clear positive correlation between segmentation accuracy and the quantity of available reference data. This demonstrates the importance of a high number of reference data in supervised segmentation accuracy assessment problems

Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain)

A workflow headed up to identify crops growing under plastic-covered greenhouses (PCG) and based on multi-temporal and multi-sensor satellite data is developed in this article. This workflow is made up of four steps: (i) data pre-processing, (ii) PCG segmentation, (iii) binary preclassification between greenhouses and non-greenhouses, and (iv) classification of horticultural crops under greenhouses regarding two agronomic seasons (autumn and spring). The segmentation stage was carried out by applying a multi-resolution segmentation algorithm on the pre-processed WorldView-2 data. The free access AssesSeg command line tool was used to determine the more suitable multi-resolution algorithm parameters. Two decision tree models mainly based on the Plastic Greenhouse Index were developed to perform greenhouse/non-greenhouse binary classification from Landsat 8 and Sentinel-2A time series, attaining overall accuracies of 92.65% and 93.97%, respectively. With regards to the classification of crops under PCG, pepper in autumn, and melon and watermelon in spring provided the best results (Fβ around 84% and 95%, respectively). Data from the Sentinel-2A time series showed slightly better accuracies than those from Landsat 8

Improving georeferencing accuracy of Very High Resolution satellite imagery using freely available ancillary data at global coverage

While impressive direct geolocation accuracies better than 5.0 m CE90 (90% of circular error) can be achieved from the last DigitalGlobe’s Very High Resolution (VHR) satellites (i.e. GeoEye-1 and WorldView-1/2/3/4), it is insufficient for many precise geodetic applications. For these sensors, the best horizontal geopositioning accuracies (around 0.55 m CE90) can be attained by using third-order 3D rational functions with vendor’s rational polynomial coefficients data refined by a zero-order polynomial adjustment obtained from a small number of very accurate ground control points (GCPs). However, these high-quality GCPs are not always available. In this work, two different approaches for improving the initial direct geolocation accuracy of VHR satellite imagery are proposed. Both of them are based on the extraction of three-dimensional GCPs from freely available ancillary data at global coverage such as multi-temporal information of Google Earth and the Shuttle Radar Topography Mission 30 m digital elevation model. The application of these approaches on WorldView-2 and GeoEye-1 stereo pairs over two different study sites proved to improve the horizontal direct geolocation accuracy values around of 75%

Classification of urban areas from GeoEye-1 imagery through texture features based on Histograms of Equivalent Patterns

A family of 26 non-parametric texture descriptors based on Histograms of Equivalent Patterns (HEP) has been tested, many of them for the first time in remote sensing applications, to improve urban classification through object-based image analysis of GeoEye-1 imagery. These HEP descriptors have been compared to the widely known texture measures derived from the gray-level co-occurrence matrix (GLCM). All the five finally selected HEP descriptors (Local Binary Patterns, Improved Local Binary Patterns, Binary Gradient Contours and two different combinations of Completed Local Binary Patterns) performed faster in terms of execution time and yielded significantly better accuracy figures than GLCM features. Moreover, the HEP texture descriptors provided additional information to the basic spectral features from the GeoEye-1's bands (R, G, B, NIR, PAN) significantly improving overall accuracy values by around 3%. Conversely, and in statistic terms, strategies involving GLCM texture derivatives did not improve the classification accuracy achieved from only the spectral information. Lastly, both approaches (HEP and GLCM) showed similar behavior with regard to the training set size applied

Search for the Higgs boson decays H → ee and H → eμ in pp collisions at √s = 13 TeV with the ATLAS detector

Artículo escrito por un elevado número de autores, sólo se referencian el que aparece en primer lugar, el nombre del grupo de colaboración, si le hubiera, y los autores pertenecientes a la UAMSearches for the Higgs boson decays H→eeand H→eμare performed using data corresponding to an integrated luminosity of 139 fb−1collected with the ATLAS detector in ppcollisions at √s=13 TeV at the LHC. No significant signals are observed, in agreement with the Standard Model expectation. For a Higgs boson mass of 125 GeV, the observed (expected) upper limit at the 95% confidence level on the branching fraction β(H→ee)is 3.6 ×10−4(3.5 ×10−4) and on β(H→eμ)is 6.2 ×10−5(5.9 ×10−5). These results represent improvements by factors of about five and six on the previous best limits on β(H→ee)and β(H→eμ)respectivelyWe acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Skłodowska-Curie Actions, European Union; Investissements d' Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, United Kingdo

A further study of the kinetics of recrystallization and grain growth of cold rolled TWIP steel

Over last decades, the twinning - induced plasticity Fe-Mn-C (TWIP) steels have been the focus on huge amount of research works due to their prominent strength – ductility compounding which develops from the occurrence of extended mechanical twinning during plastic deformation under mechanical loads (Grässel and Frommeyer, 1998; Frommeyer et al., 2000; Cornette et al., 2005; Scott et al., 2006; Bouaziz et al., 2008; Hamada et al., 2010; Bouaziz et al., 2011; De Cooman et al., 2011; Galán et al., 2012; Gil Sevillano and De las Cuevas, 2012; Chen et al., 2013; De las Cuevas et al., 2014; Ghasri-Khouzani and McDermid, 2015; Pierce et al., 2015; De las Cuevas and Gil Sevillano, 2017). In TWIP steels, the fully austenitic microstructure can be retained by means of high level alloying with elements such as Mn, Al and Si. Al and Si are mainly used to adjust the magnitude of the stacking fault energy, gSFE, of austenite (Frommeyer et al., 2000). Furthermore, they also strengthen the steel by solid solution hardening and stabilize austenite owing to their ability of slowing down the precipitation of carbides, especially cementite, leaving more carbon available for the enrichment of austenite (Leslie and Rauch, 1978)

Geometric Accuracy Assessment of Deimos-2 Panchromatic Stereo Pairs: Sensor Orientation and Digital Surface Model Production

Accurate elevation data, which can be extracted from very high-resolution (VHR) satellite images, are vital for many engineering and land planning applications. In this way, the main goal of this work is to evaluate the capabilities of VHR Deimos-2 panchromatic stereo pairs to obtain digital surface models (DSM) over different land covers (bare soil, urban and agricultural greenhouse areas). As a step prior to extracting the DSM, different orientation models based on refined rational polynomial coefficients (RPC) and a variable number of very accurate ground control points (GCPs) were tested. The best sensor orientation model for Deimos-2 L1B satellite images was the RPC model refined by a first-order polynomial adjustment (RPC1) supported on 12 accurate and evenly spatially distributed GCPs. Regarding the Deimos-2 based DSM, its completeness and vertical accuracy were compared with those obtained from a WorldView-2 panchromatic stereo pair by using exactly the same methodology and semiglobal matching (SGM) algorithm. The Deimos-2 showed worse completeness values (about 6% worse) and vertical accuracy results (RMSEZ 42.4% worse) than those computed from WorldView-2 imagery over the three land covers tested, although only urban areas yielded statistically significant differences (p < 0.05)