Phenotyping plant responses to biotic stress by chlorophyll fluorescence imaging ML Pérez-Bueno, M Pineda, M Barón Frontiers in plant science 10, 1135, 2019 | 220 | 2019 |
Thermal imaging for plant stress detection and phenotyping M Pineda, M Barón, ML Pérez-Bueno Remote Sensing 13 (1), 68, 2020 | 142 | 2020 |
Spatial and temporal dynamics of primary and secondary metabolism in Phaseolus vulgaris challenged by Pseudomonas syringae ML Pérez‐Bueno, M Pineda, E Díaz‐Casado, M Barón Physiologia Plantarum 153 (1), 161-174, 2015 | 79 | 2015 |
Multicolor fluorescence imaging as a candidate for disease detection in plant phenotyping ML Pérez-Bueno, M Pineda, FM Cabeza, M Barón Frontiers in plant science 7, 1790, 2016 | 77 | 2016 |
Early detection of bean infection by Pseudomonas syringae in asymptomatic leaf areas using chlorophyll fluorescence imaging L Rodríguez-Moreno, M Pineda, J Soukupová, AP Macho, CR Beuzón, ... Photosynthesis research 96, 27-35, 2008 | 73 | 2008 |
Changes induced by the Pepper mild mottle tobamovirus on the chloroplast proteome of Nicotiana benthamiana M Pineda, C Sajnani, M Barón Photosynthesis research 103, 31-45, 2010 | 71 | 2010 |
Robotized Thermal and Chlorophyll Fluorescence Imaging of Pepper Mild Mottle Virus Infection in Nicotiana benthamiana L Chaerle, M Pineda, R Romero-Aranda, D Van Der Straeten, M Baron Plant and cell physiology 47 (9), 1323-1336, 2006 | 69 | 2006 |
Picturing pathogen infection in plants M Barón, M Pineda, ML Pérez-Bueno Zeitschrift für Naturforschung C 71 (9-10), 355-368, 2016 | 65 | 2016 |
Detection of bacterial infection in melon plants by classification methods based on imaging data M Pineda, ML Pérez-Bueno, M Barón Frontiers in plant science 9, 164, 2018 | 54 | 2018 |
Conventional and combinatorial chlorophyll fluorescence imaging of tobamovirus-infected plants M Pineda, J Soukupová, K Matouš, L Nedbal, M Barón Photosynthetica 46, 441-451, 2008 | 54 | 2008 |
Use of multicolour fluorescence imaging for diagnosis of bacterial and fungal infection on zucchini by implementing machine learning M Pineda, ML Pérez-Bueno, V Paredes, M Barón Functional plant biology 44 (6), 563-572, 2017 | 37 | 2017 |
Multicolor Fluorescence Imaging of Leaves—A Useful Tool for Visualizing Systemic Viral Infections in Plants† M Pineda, L Gáspár, F Morales, Z Szigeti, M Baron Photochemistry and Photobiology 84 (5), 1048-1060, 2008 | 37 | 2008 |
RNA-seq analysis and fluorescence imaging of melon powdery mildew disease reveal an orchestrated reprogramming of host physiology Á Polonio, M Pineda, R Bautista, J Martínez-Cruz, ML Pérez-Bueno, ... Scientific Reports 9 (1), 7978, 2019 | 34 | 2019 |
Detection of white root rot in avocado trees by remote sensing ML Pérez-Bueno, M Pineda, C Vida, D Fernández-Ortuño, JA Torés, ... Plant disease 103 (6), 1119-1125, 2019 | 33 | 2019 |
Temporal and Spatial Resolution of Activated Plant Defense Responses in Leaves of Nicotiana benthamiana Infected with Dickeya dadantii ML Pérez-Bueno, E Granum, M Pineda, V Flors, P Rodriguez-Palenzuela, ... Frontiers in Plant Science 6, 1209, 2016 | 33 | 2016 |
Tracking viral movement in plants by means of chlorophyll fluorescence imaging M Pineda, J Olejníčková, L Cséfalvay, M Barón Journal of plant physiology 168 (17), 2035-2040, 2011 | 28 | 2011 |
Novel Vegetation Indices to Identify Broccoli Plants Infected With Xanthomonas campestris pv. campestris M Pineda, ML Pérez-Bueno, M Barón Frontiers in Plant Science 13, 790268, 2022 | 11 | 2022 |
Health status of oilseed rape plants grown under potential future climatic conditions assessed by invasive and non-invasive techniques M Pineda, M Barón Agronomy 12 (8), 1845, 2022 | 7 | 2022 |
An overview of the special issue on plant phenotyping for disease detection M Pineda Remote Sensing 13 (20), 4182, 2021 | 4 | 2021 |
Assessment of Black Rot in Oilseed Rape Grown under Climate Change Conditions Using Biochemical Methods and Computer Vision M Pineda, M Barón Plants 12 (6), 1322, 2023 | 2 | 2023 |