Few-Shot Learning approach for plant disease classification using images taken in the field D Argüeso, A Picon, U Irusta, A Medela, MG San-Emeterio, A Bereciartua, ... Computers and Electronics in Agriculture 175, 105542, 2020 | 299 | 2020 |
Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets A Picon, MG San-Emeterio, A Bereciartua-Perez, C Klukas, T Eggers, ... Computers and Electronics in Agriculture 194, 106719, 2022 | 64 | 2022 |
System and method for identification of plant species AP Ruiz, ML DE LA PUERTA, C Klukas, T Eggers, R Oberst, ... US Patent 12,142,033, 2024 | 14 | 2024 |
System and method for estimating vegetation coverage in a real-world environment AP Ruiz, MG SAN EMETERIO, A Bereciartua-Perez, LG ZAMANILLO, ... US Patent App. 17/925,250, 2023 | 1 | 2023 |
A Survey on Few-Shot Techniques in the Context of Computer Vision Applications Based on Deep Learning MG San-Emeterio Image Analysis and Processing. ICIAP 2022 Workshops., 14-25, 2022 | 1 | 2022 |
RadioPy: a Python tool for synchrotron radio emission MG San Emeterio, MA Pérez-Torres Universidad de Zaragoza, 2017 | | 2017 |
Estudio de la luminiscencia de semiconductores orgánicos de la familia Zn (ii) bis (perfluoro (2-hidroxifenil-benzotiazol)) a presión ambiente ya altas presiones M González San Emeterio, I Hernández Campo Universidad de Cantabria, 2015 | | 2015 |