idUS - Perfil del autor: Apolo Apolo, Orly Enrique

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Nombre	Apolo Apolo, Orly Enrique
Departamento	Ingeniería Aeroespacial y Mecánica de Fluidos
Área de conocimiento	Ingeniería Agroforestal
Categoría profesional	Profesor Sustituto
Correo electrónico	Solicitar

Nº publicaciones

13
Nº visitas

1508
Nº descargas

2875

Tipología

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Publicaciones
Artículo Tackling unbalanced datasets for yellow and brown rust detection in wheat Cuenca-Romero, Carmen; Apolo Apolo, Orly Enrique; Rodríguez Vázquez, Jaime Nolasco; Egea Cegarra, Gregorio; Pérez Ruiz, Manuel (Frontiers, 2024) This study evaluates the efficacy of hyperspectral data for detecting yellow and brown rust in wheat, employing machine ...
Tesis Doctoral Caracterización de las royas del trigo en Andalucía y uso de sensores remotos para su detección temprana Rodríguez Vázquez, Jaime Nolasco; Apolo Apolo, Orly Enrique; Martínez Moreno, Fernando Bienvenido (2024) Las royas son una enfermedad importante en el cultivo del trigo, generando pérdidas de producción y, por tanto, económicas, ...
Tesis Doctoral Development and assessment of AI models based on deep learning algorithms to determine agronomic traits in fruit tree orchards and field crops Apolo Apolo, Orly Enrique; Pérez Ruiz, Manuel; Egea Cegarra, Gregorio (2022) It’s been claimed by the scientific community that we will need fifty percent more food by 2050 for a world population of ...
Artículo Leaf area index estimations by deep learning models using RGB images and data fusion in maize Castro Valdecantos, Pedro; Apolo Apolo, Orly Enrique; Pérez Ruiz, Manuel; Egea, G. (Springer, 2022) The leaf area index (LAI) is a biophysical crop parameter of great interest for agronomists and plant breeders. Direct ...
Artículo Intelligent Fruit Yield Estimation for Orchards Using Deep Learning Based Semantic Segmentation Techniques—A Review Maheshwari, Prabhakar; Raja, Purushothaman; Apolo Apolo, Orly Enrique; Pérez Ruiz, Manuel (Frontiers Media S.A., 2021) Smart farming employs intelligent systems for every domain of agriculture to obtain sustainable economic growth with the ...
Artículo Deep learning techniques for estimation of the yield and size of citrus fruits using a UAV Apolo Apolo, Orly Enrique; Martínez-Guanter, J.; Egea, G.; Raja, Purushothaman; Pérez Ruiz, Manuel (Elsevier, 2021) Accurate and early estimation of citrus yields is important for both producers and agricultural cooperatives to be competitive ...
Artículo Long-Term Assessment of Reference Baselines for the Determination of the Crop Water Stress Index in Maize under Mediterranean Conditions Prior Fernández, Alejandro Manuel; Apolo Apolo, Orly Enrique; Castro Valdecantos, Pedro; Pérez Ruiz, Manuel; Egea Cegarra, Gregorio (MDPI, 2021) Canopy temperature has been proposed as a relevant variable for crop water stress moni toring. Since crop temperature is ...
Artículo The Automation of Hyperspectral Training Library Construction: A Case Study for Wheat and Potato Crops Appeltans, Simon; Apolo Apolo, Orly Enrique; Rodríguez Vázquez, Jaime Nolasco; Pérez Ruiz, Manuel; Pieters, Jan; Mouazen, Abdul M. (MDPI, 2021) The potential of hyperspectral measurements for early disease detection has been inves tigated by many experts over the ...
Artículo Development and evaluation of a self-propelled electric platform for high throughput field phenotyping in wheat breeding trials Pérez Ruiz, Manuel; Martínez Guanter, Jorge; Apolo Apolo, Orly Enrique; Andrade-Sánchez, P.; Egea, G. (Elsevier, 2020)
Artículo A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique Apolo Apolo, Orly Enrique; Pérez Ruiz, Manuel; Martínez Guanter, Jorge; Valente, João (Frontiers Media S. A., 2020) Farmers require accurate yield estimates, since they are key to predicting the volume of stock needed at supermarkets and ...
Artículo A Mixed Data-Based Deep Neural Network to Estimate Leaf Area Index in Wheat Breeding Trials Apolo Apolo, Orly Enrique; Pérez Ruiz, Manuel; Martínez Guanter, Jorge; Egea Cegarra, Gregorio (MDPI, 2020) Remote and non-destructive estimation of leaf area index (LAI) has been a challenge in the last few decades as the direct ...
Ponencia MalezappUS Quiz: una nueva app lúdico-docente para el entrenamiento de la identificación de plántulas de malas hierbas Apolo Apolo, Orly Enrique; García García, Julián Alberto; Urbano Fuentes-Guerra, José María; Royuela Hernando, Mercedes; Zabalza Aznárez, Ana (Universidad Pública de Navarra, 2017) The identification of harmful weed seedlings in crops is a crucial prerequisite to achieve sustainable weed management. ...
Trabajo Fin de Grado Recuperación, modelado y recreación utilizando fotogrametría, del Patrimonio Oleícola Industrial de la Hacienda de Quinto Apolo Apolo, Orly Enrique; León-Bonillo, Manuel José; Pérez Romero, Antonio Miguel (2016) Se puede decir que el Patrimonio cultural está compuesto por todas aquellas manifestaciones y elementos de la actividad ...