Datos de Investigación (Ingeniería Aeroespacial y Mecánica de Fluidos)

URI permanente para esta colecciónhttps://hdl.handle.net/11441/152586

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Mostrando 1 - 19 de 19

Dataset of Integrating remote sensing and ion balance to predict yield losses under saline irrigation in rice
(2026-03-03) Egea Cegarra, Gregorio; Rosenbaum, Annkathrin; Becker, Mathias; Quintana-Molina, José Rodolfo; Pariyar, Shyam; Ingeniería Aeroespacial y Mecánica de Fluidos; Egea Cegarra, Gregorio; Centro para el Desarrollo Tecnológico y la Innovación (CDTI); Ministerio de Ciencia, Innovación y Universidades (MICIU). España; AGR278: Smart Biosystems Laboratory
Dataset generated in the work “Integrating remote sensing and ion balance to predict yield losses under saline irrigation in rice” whose main objectives were to (i) quantify the effects of increasing irrigation water salinity on rice plant growth, ion balance and yield; (ii) compare the salt-induced responses of indica and japonica subspecies; and (iii) assess the potential of remote sensing for monitoring salinity- induced stress and identifying critical phenological periods of sensitivity.
Dataset of Detection of fusarium wilt-induced physiological impairment in strawberry plants using hyperspectral imaging and machine learning
(2026-03-02) Castro Valdecantos, Pedro; Egea Cegarra, Gregorio; Borrero Vega, Celia; Pérez Ruiz, Manuel; Avilés Guerrero, Manuel; Agronomía; Ingeniería Aeroespacial y Mecánica de Fluidos; Castro Valdecantos, Pedro; Ministerio de Ciencia, Innovación y Universidades (MICIU). España; Junta de Andalucía; Masiá Ciscar, S.A.; AGR278: Smart Biosystems Laboratory; AGR188: Agronomía
Firmas espectrales relacionadas con la respuesta fisiológica de la planta de fresa infectada con la enfermedad Fusarium
Desarrollo tecnológico: Sistema de recuperación de aceitunas en máquinas DRR con visión artificial, sistema neumático e IoT
(2026-01-30) Madueño Luna, Antonio; Madueño Luna, José Miguel; López Gordillo, Miguel Calixto; Ingeniería Aeroespacial y Mecánica de Fluidos; Ingeniería Gráfica; Madueño Luna, Antonio; Fundación ProDTI – Aceitunas del Guadalquivir; AGR280: Ingeniería Rural; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Desarrollo tecnológico basado en visión artificial, neumática e IoT para reducir y/o eliminar la presencia de aceitunas mal posicionadas o no aptas durante el deshuesado en máquinas DRR (Deshuesadora–Rodajadora–Rellenadora). El sistema detecta el paso de cada aceituna por la pista de alimentación, captura su imagen y la clasifica en tiempo real en diferentes tipologías (posición normal, aceituna en “barco”, dobles, fragmentos y pivotes). Las aceitunas no aptas se extraen o se recuperan mediante pulsos de aire a presión sincronizados, redirigiéndolas al alimentador para su reprocesado o a una vía de descarte, sin detener la línea. Adicionalmente, permite realizar un “escandallo” o cata virtual para apoyar el ajuste de la máquina y genera estadísticas de producción accesibles en remoto (IoT). El sistema está implantado y operando en entorno industrial (TRL 9).
Desarrollo tecnológico: Sistema de determinación cuantitativa del porcentaje de cocido en sosa cáustica de aceitunas y predicción del momento óptimo de finalización (visión artificial y cloud computing)
(2026-01-30) Madueño Luna, Antonio; Madueño Luna, José Miguel; López Lineros, Miriam; López Gordillo, Miguel Calixto; Ingeniería Aeroespacial y Mecánica de Fluidos; Ingeniería Gráfica; Madueño Luna, Antonio; Universidad de Sevilla; AGR280: Ingeniería Rural; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Desarrollo tecnológico para determinar de forma cuantitativa, durante el tratamiento alcalino en NaOH (cocido) de aceitunas verdes al estilo sevillano, el porcentaje de penetración de la sosa en la pulpa y predecir el momento óptimo para finalizar el proceso. El sistema combina un protocolo de toma de muestras y acondicionamiento del fruto (corte, marcado con fenolftaleína y captura de imagen con iluminación constante) con algoritmos de visión artificial que calculan el porcentaje de cocido. A partir de la serie temporal de medidas, un interpolador estima el instante en el que se alcanzará un umbral objetivo (p.ej., 2/3 o 3/4 de penetración). Incluye además una aplicación web para gestión y trazabilidad del proceso (cloud computing) y evidencia de implantación industrial (TRL 9).
Dataset of Performance of a felt based living wall with greywater irrigation using different indoor ornamental species
(2026-01-07) Fernández Cabanás, Víctor Manuel; Suárez Cáceres, Gina Patricia; Fernández Cañero, Rafael; Rossini Oliva, Sabina; Pérez Urrestarazu, Luis; Agronomía; Ingeniería Aeroespacial y Mecánica de Fluidos; Biología Vegetal y Ecología; Rossini Oliva, Sabina; Junta de Andalucía; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Unos de los objetivos del proyecto era ver si los jardines verticales podrían regarse con aguas grises. Los experimentos se hicieron usando varias especies y regando con agua grises. Se midieron distintos parámetros (BOD; NTU; elementos químicos en plantas, etc)
Dataset. Yield response of a mature hedgerow oil olive orchard to different levels of water stress during pit hardening
(2025-01-14) Corell González, Mireia; Pérez-López, D.; Andreu Cáceres, Luis; Recena Garrido, Ramiro; Centeno, A.; Galindo, A.; Moriana Elvira, Alfonso; Martín Palomo, María José; Agronomía; Ingeniería Aeroespacial y Mecánica de Fluidos; Moriana Elvira, Alfonso; Agencia Estatal de Investigación. España; European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER); PAIDI AGR 188: Agronomía
El artículo presenta datos de varias estaciones de riego, del 2017 al 2019 en un olivar en seto adulto en Carmona (Sevilla). Se comparan diferentes tratamientos de riego en los que se ha empleado la dendrometría (con dendrómetros tipo D6) y el potencial hídrico (con cámara de presión) como indicadores del nivel de estrés en comparación con un Control sin restricciones. No hubo diferencias significativas en cosecha de fruta y aceite aunque hubo un efecto acumulado del estrés sobre la cantidad de aceite.
Water_footprint_processing_tomatoes [dataset]
(2024-09-19) Egea Cegarra, Gregorio; Castro Valdecantos, Pedro; Gómez Durán, E.; Munuera, Teresa; Domínguez-Niño, Jesús M.; Nortes, Pedro; Agronomía; Ingeniería Aeroespacial y Mecánica de Fluidos; Egea Cegarra, Gregorio; Ministerio de Ciencia e Innovación (MICIN). España; Agencia Estatal de Investigación. España; AGR-278: Smart Biosystems Laboratory
Dataset generated in the work “Impact of Irrigation Management Decisions on the WaterFootprint of Processing Tomatoes in Southern Spain” whose main objective was to determine the water footprint of processing tomatoes grown in southern Spain under different drip irrigation methodologies.
Optimal_operation_evaporative_cooling_pads_review_[dataset]
(2024-01-24) Tejero González, Ana; Franco Salas, Antonio; Ingeniería Aeroespacial y Mecánica de Fluidos; Franco Salas, Antonio; Junta de Castilla y León. Consejería de Educación; European Regional Development Fund (ERDF); AGR 268: Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the paper: “Optimal operation of evaporative cooling pads: A review”. The paper conducts a critical review on the existing experimental and theoretical research on commercial and alternative wetted media, identifies the gaps in the literature, proposes uniform nomenclature and methodologies, and provides a critical view on the optimal operating conditions from wetted-surface evaporative coolers.
Direct_evaporative_cooling_from_wetted_surfaces [dataset]
(2024-01-01) Tejero González, Ana; Franco Salas, Antonio; Ingeniería Aeroespacial y Mecánica de Fluidos; Franco Salas, Antonio; AGR 268: Naturación Urbana e Ingeniería de Biosistemas
Dataset obtained for the study published in the paper: “Direct evaporative cooling from wetted surfaces: Challenges for a clean air conditioning solution”. Evaporative cooling has a major role to play in fighting climate change and in achieving a low-carbon economy. Wetted media are commonly called evaporative cooling pads and are widely used in greenhouses, intensive livestock farming, and industrial facilities. These can enhance their application to indoor occupied spaces such as residential or commercial cooling, or in hybrid air conditioning systems. Existing results on these less studied performance issues are reviewed, and we identify the gaps in the literature in addition to highlighting the main challenges encountered, in an effort to guide future researchers in the field and enhance the application of direct evaporative cooling. Existing results on these less studied performance issues are reviewed, and we identify the gaps in the literature, such as power requirements and the coefficient of performance, water consumption, risk of water entrainment, material decay, and air quality, as well as the effect of water temperature and salinity, solar radiation, or wind speed. In addition to highlighting the main challenges encountered, in an effort to guide future researchers in the field and enhance the application of direct evaporative cooling.
Refrigeration_capacity_effect_ageing_cellulose_cooling_pad [Dataset]
(2024-01) Franco Salas, Antonio; Peña Fernández, Araceli; Valera Martínez, Luis; Ingeniería Aeroespacial y Mecánica de Fluidos; Franco Salas, Antonio; Ministerio de Economía y Competitividad de España; Fondo Europeo de Desarrollo Regional (FEDER); AGR 268-Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the article: “Refrigeration capacity and effect of ageing on the operation of cellulose evaporative cooling pads, by wind tunnel analysis”. This work has been funded by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (ERDF) by means of research grant AGL2015-68050-R (Spain). This study investigates the temperature reduction capacity and water consumption of a fan-pad system installed in a greenhouse located in the coastal regions of Almería. The suitability of this system for coastal zones with high environmental humidity during the summer is analyzed. Historical temperature and relative humidity series are studied, obtaining the thermal difference and maximum, medium, and minimum monthly water consumption of the pads based on the operation data of the evaporative cooling pads.
Improving_performance_felt-based_livingwall_irrigation [dataset]
(2024-01-15) Kaltsidi, Maria Pinelopi; Fernández Cañero, Rafael; Franco Salas, Antonio; Pérez Urrestarazu, Luis; Ingeniería Aeroespacial y Mecánica de Fluidos; Franco Salas, Antonio; AGR 268-Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the article: “Improving the performance of felt-based living wall systems in terms of irrigation management”. This work aims to improve an existing commercial system (Fytotextile) in order to optimise water retention and vegetation performance in harsh climate conditions. Therefore, three evolutions of the Fytotextile system were tested in terms of water retention capacity, drainage and vegetation performance.
VOCs_removal_LivingWall [dataset]
(2024-01-15) Suárez Cáceres, Gina Patricia; Fernández Cañero, Rafael; Fernández Espinosa, Antonio José; Rossini Oliva, Sabina; Franco Salas, Antonio; Pérez Urrestarazu, Luis; Ingeniería Aeroespacial y Mecánica de Fluidos; Franco Salas, Antonio; Junta de Andalucía; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the article: “Volatile organic compounds removal by means of a felt-based living wall to improve indoor air quality”. This is part of the project “Fytorremediation of air and water by means of living walls” financed by the Andalusian Plan of Research, development and innovation 2020 (grant number P18-TP-1657) in the 2018 call for Research projects for universities and qualified public research entities as agents of the Andalusian Knowledge System (Junta de Andalucía, Spain). As vegetation can act as a biofilter capturing air pollutants, this study aims to assess the effectiveness of a living wall module in the removal of the Total Volatile Organic Compounds (TVOCs) for IAQ improvement. An airtight glass chamber was used to release contaminants, monitoring the TVOCs both with the chamber empty (control) and with a small Fytotextile® living wall module planted with Nephrolepis exaltata L. A substantial reduction of TVOCs was observed when the living wall was inside the chamber. In few hours, TVOCs levels were reduced below the recommended limit (following Spanish regulations).
Tomato Dataset
(2024-01-11) Pérez Ruiz, Manuel; Slaughter, David C.; Ingeniería Aeroespacial y Mecánica de Fluidos; Pérez Ruiz, Manuel; California Tomato Research Institute (CTRI); AGR278: Smart Biosystems Laboratory
Este trabajo se ha centrado en mejorar la precisión y la sincronización espaciotemporal en el transplante de tomates, usando una transplantadora de cultivos modificada. La metodología incluye el análisis de visión por ordenador digital en color y de alta velocidad para estudiar el movimiento y la dinámica de las plantas de tomates transplantados. Este análisis condujo al desarrollo de un mecanismo de soporte de planta, que resultó en una reducción significativa, del 25%, de la desviación en la ubicación de las plantas en el suelo, en comparación con métodos convencionales. Esta mejorar es un paso importante hacia un sistema mectrónico capaz de transplatar cultivos en un patrón de cuadrícula a lo largo de la línea de cultivo. Este sistema serí un componente clave en un enfoque de tratamiento individualizado por planta y totalmente automatizado, lo cual es muy relevante para cultivos intensivos como el tomate. Los conjuntos de datos generados en este estudio, que se realizaron entre 2012 y 2014, se basaron en un sistema de control de retroalimentación cerrada para regular la velocidad angular de la rueda de plantación. Esta velocidad se ajustó de acuerdo a la detección de la velocidad angular de una rueda sin motor, empleando para ello un codificador óptico de rotación de eje. El archivo suministrado, un documento de Excel, incluye tres pestañas: "Velocity&Aceleration" (Velocidad y Aceleración), "Height&Diameter" (Altura y Diámetro), y "Supported&Control" (Soporte y Control). Este archivo contiene información numérica detallada que respalda y valida los resultados obtenidos en la investigación.
DATAbase_PlantsCOVID19 [dataset]
(2023-12-19) Pérez Urrestarazu, Luis; Kaltsidi, M.P.; Nektarios, P.A.; Markakis, G.; Loges, V.; Perini, K.; Fernández Cañero, Rafael; Ingeniería Aeroespacial y Mecánica de Fluidos; Agronomía; Pérez Urrestarazu, Luis; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the article: “Particularities of having plants at home during the confinement due to the COVID-19 pandemic”. This study evaluated the role of having plants at home during the confinement period as a result of the COVID-19 pandemic that deprived people of freely visiting open green spaces. Preferences concerning the quantity of the desired vegetation as well as the ways in which the COVID-19 crisis affected the change of perceptions with regard to having plants at home were also evaluated. The dataset presents the responses to a questionnaire filled by 4205 participants, which provided an evaluation of the impact of indoor and outdoor plants on their emotional welfare considering behavioural, social, and demographic variables.
Temp_distribution_green_areas [dataset]
(2023-12-19) Rodríguez Gómez, Francisco; Fernández Cañero, Rafael; Pérez, Gabriel.; del Campo-Ávila, José; López-Rodríguez, Domingo.; Pérez Urrestarazu, Luis; Ingeniería Aeroespacial y Mecánica de Fluidos; Agronomía; Pérez Urrestarazu, Luis; Ministerio de Ciencia, Innovación y Universidades; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the article: “Detection of unfavourable urban areas with higher temperatures and lack of green spaces using satellite imagery in sixteen Spanish cities”. This is part of the project “Urban Sustainability using new Data Mining developments (URSUS-DM)” the Spanish R & D Programme for projects addressing the challenges of the society (2018 call), in the framework of the State Plan of Scientific and Technical Research and Innovation 2017–2020, financed by the Spanish Ministry of Science, Innovation and Universities, grant number RTI2018095097-B-100. This study aims to identify the most unfavourable areas of a city in terms of high temperatures and the absence of green infrastructure. An automatic methodology based on remote sensing and data analysis has been developed and applied in sixteen Spanish cities with different characteristics. Landsat-8 satellite images were selected for each city from the July-August period of 2019 and 2020 to calculate the spatial variation of land surface temperature (LST). The Normalized Difference Vegetation Index (NDVI) was used to determine the abundance of vegetation across the city. Based on the NDVI and LST maps created, a k-means unsupervised classification clustering was performed to automatically identify the different clusters according to how favourable these areas were in terms of temperature and presence of vegetation. A Disadvantaged Area Index (DAI), combining both variables, was developed to produce a map showing the most unfavourable areas for each city.
LW_waterconsumption [dataset]
(2023-12-19) Pérez Urrestarazu, Luis; Ingeniería Aeroespacial y Mecánica de Fluidos; Pérez Urrestarazu, Luis; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the article: “Water consumption of felt-based outdoor living walls in warm climates”. This study aims to quantify the water consumption of commercial outdoor felt-based living walls installed in four different Spanish cities, assessing the influencing variables (i.e., location, size, exposition, recirculation). To do so, 16 living walls were monitored during 1–4 years to compute the volume of water used to irrigate them during the year.
LED_indoor_living_walls [dataset]
(2023-12-19) Kaltsidi, M.P.; Fernández Cañero, Rafael; Pérez Urrestarazu, Luis; Ingeniería Aeroespacial y Mecánica de Fluidos; Agronomía; Pérez Urrestarazu, Luis; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the article: “Assessment of different LED lighting systems for indoor living walls”. This study evaluated the performance of several modules of living wall lighted by different LED lamps. The dataset presents the values of the different variables measured (temperature and humidity, water consumption, NDVI, green cover, plant weight, leaf area and light intensity).
Aquaponics_lettuce [dataset]
(2023-12-19) Pérez Urrestarazu, Luis; Lobillo Eguibar, José; Fernández Cañero, Rafael; Fernández Cabanás, Víctor Manuel; Ingeniería Aeroespacial y Mecánica de Fluidos; Agronomía; Pérez Urrestarazu, Luis; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the article: “Suitability and optimization of FAO's small-scale aquaponics systems for joint production of lettuce (Lactuca sativa) and fish (Carassius auratus)”. This study evaluated the performance of three different small-scale aquaponic systems for the joint production of lettuce and Carassius auratus. The dataset presents the data acquired of the different variables for water quality, plant production and fish production.
LW_particulate_capture [dataset]
(2023-12-19) Rossini Oliva, Sabina; Montiel de la Cruz, J.M.; Fernández Espinosa, Antonio José; Fernández Cañero, Rafael; Fernández Cabanás, Víctor Manuel; Pérez Urrestarazu, Luis; Ingeniería Aeroespacial y Mecánica de Fluidos; Biología Vegetal y Ecología; Química Analítica; Agronomía; Pérez Urrestarazu, Luis; Rossini Oliva, Sabina; Pérez Urrestarazu, Luis; Junta de Andalucía; AGR268: Naturación Urbana e Ingeniería de Biosistemas
Dataset acquired for the study published in the article: “Potentially toxic elements capture by an active living wall in indoor environments: effect of species in air phytoremediation”. This is part of the project “Fytorremediation of air and water by means of living walls” financed by the Andalusian Plan of Research, development and innovation 2020 (grant number P18-TP-1657) in the 2018 call for Research projects for universities and qualified public research entities as agents of the Andalusian Knowledge System (Junta de Andalucía, Spain). This study aims to quantify compare the effectiveness of four plant species planted in an active living wall for capturing particle pollutants. The living wall was introduced in a glass chamber and exposed to large (10–40 μm) and fine (1.2–10 μm) airborne particles containing a fixed concentration of potentially toxic elements (Al, B, Cd, Co, Cr, Cu, Ni and Pb). The surface particle deposition (sPM) was estimated in the leaves from the four species and the potentially toxic element concentration in the particulate matter (PM) was measured in plants, medium culture and in the living wall support system.

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