• Convolutional Neural Networks for Planting System Detection of Olive Groves 

  Martínez‐Ruedas, Cristina; Yanes-Luis, Samuel; Díaz Cabrera, Juan Manuel; Gutiérrez-Reina, Daniel; Perez Galvín, Adela; Castillejo-González, I.L. (Springer Nature, 2023)

  The present chapter is focused on the identification of different planting systems in olive groves by using very high-resolution aerial orthophotographs through Deep Learning Convolutional Neural Networks techniques. Thus, ...

• A Combined Approach Using T2*-Weighted Dynamic Susceptibility Contrast MRI Perfusion Parameters and Radiomics to Differentiate Between Radionecrosis and Glioma Progression: A Proof-of-Concept Study 

  Martínez Barbero, José Pablo; Pérez García, Fancisco Javier; López Cornejo, David; García Cerezo, Marta; Jiménez Gutiérrez, Paula María; Balderas, Luis; Lastra, Miguel; Arauzo Azofra, Antonio; Benítez, José M.; Láinez Ramos-Bossini, Antonio Jesús (MDPI, 2025)

  Differentiating tumor progression from radionecrosis in patients with treated brain glioma represents a significant clinical challenge due to overlapping imaging features. This study aimed to develop and evaluate a machine ...

• Detection of Planting Systems in Olive Groves Based on Open-Source, High-Resolution Images and Convolutional Neural Networks 

  Martínez‐Ruedas, Cristina; Yanes-Luis, Samuel; Díaz Cabrera, Juan Manuel; Gutiérrez-Reina, Daniel; Linares-Burgos, Rafael; Castillejo-González, I.L. (MDPI, 2022)

  This paper aims to evaluate whether an automatic analysis with deep learning convolutional neural networks techniques offer the ability to efficiently identify olive groves with different intensification patterns by using ...

• Assessing Agri-Food Digitalization: Insights from Bibliometric and Survey Analysis in Andalusia 

  Luque-Reyes, José Ramón; Zidi, Ali; Peña-Acevedo, Adolfo; Gallardo Cobos, Rosa (MDPI, 2025)

  The agri-food sector is going through a massive digital transformation thanks to new technologies such as the Internet of Things (IoT), big data, and Artificial Intelligence (AI). Regional disparities and implementation ...

• Accident prevention in agricultural machinery using radiofrequency technology: A prototype application to olive net collectors 

  Chacón, F.; Cubero-Atienza, Antonio J.; Vázquez, Francisco; Garrido, J.; Ruz Ruiz, Mario L. (Elsevier, 2025)

  Machine related injuries and fatalities are a major concern across industries. Furthermore, machine safety in the agriculture sector is critical due to the high-risk nature of agricultural work, which often involves heavy ...

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