| Insect counting through deep learning-based density maps estimation A Bereciartua-Pérez, L Gómez, A Picón, R Navarra-Mestre, C Klukas, ... Computers and Electronics in Agriculture 197, 106933, 2022 | 27 | 2022 |
| Damage assessment of soybean and redroot amaranth plants in greenhouse through biomass estimation and deep learning-based symptom classification L Gómez-Zamanillo, A Bereciartua-Pérez, A Picón, L Parra, ... Smart Agricultural Technology 5, 100243, 2023 | 3 | 2023 |
| Multiclass insect counting through deep learning-based density maps estimation A Bereciartua-Pérez, L Gómez, A Picón, R Navarra-Mestre, C Klukas, ... Smart Agricultural Technology 3, 100125, 2023 | 3 | 2023 |
| Quantifying plant infestation by estimating the number of biological objects on leaves, by convolutional neural networks that use training images obtained by a semi-supervised … A Bereciartua-Perez, AP Ruiz, AA GILA, JE HUGUET, T Eggers, C Klukas, ... US Patent App. 17/799,829, 2023 | 2 | 2023 |
| SYSTEM AND METHOD FOR ESTIMATING VEGETATION COVERAGE IN A REAL-WORLD ENVIRONMENT A Picon Ruiz, EM Gonzalez San, A Bereciartua-perez, ... US Patent App. 17/925,250, 2023 | 1 | 2023 |
| Caracterización de la fluctuación en la impedancia torácica debido a ventilaciones L Gómez Zamanillo | | 2017 |
| Improving Disease Quantification in Agricultural Imagery: Multi-Crop Neural Networks for Semantic Segmentation with Contextual Metadata and Semi-Supervised Learning A Picon, I Eguskiza, P Galan, L Gómez, J Romero, C Klukas, ... Available at SSRN 4663174, 0 | | |
Dr. Christian KlukasPrincipal Scientist at BASF SEVerified email at users.sf.net
