Perfil del autor: Apolo Apolo, Orly Enrique
Datos institucionales
Nombre | Apolo Apolo, Orly Enrique |
Departamento | Ingeniería Aeroespacial y Mecánica de Fluidos |
Área de conocimiento | Ingeniería Agroforestal |
Categoría profesional | Profesor Sustituto |
Correo electrónico | Solicitar |
Estadísticas
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Nº publicaciones
13
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Nº visitas
1521
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Nº descargas
2879
Publicaciones |
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Artículo
Tackling unbalanced datasets for yellow and brown rust detection in wheat
(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
(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
(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
(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
(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
(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
(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
(MDPI, 2021)
The potential of hyperspectral measurements for early disease detection has been inves tigated by many experts over the ... |
Artículo |
Artículo
A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique
(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
(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
(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
(2016)
Se puede decir que el Patrimonio cultural está compuesto por todas aquellas manifestaciones y elementos de la actividad ... |