Researcher
Irene Borra Serrano
- Disciplines:Crop science
Affiliations
- Plant Sciences (Research unit)
Responsible
From1 Jan 2019 → 30 Nov 2022 - Growth and Development (Division)
Responsible
From1 Feb 2016 → 31 Dec 2018
Projects
1 - 5 of 5
- EMPHASIS-Belgium - “phenotyping the future crops”From1 Jan 2021 → Today
- Development of novel technological approaches for a low-cost and reliable characterization of CROP Yield QUALity Traits of target crops grown under Changing Environmental ConditionsFrom1 Oct 2020 → Today
- Rice remote monitoring: climate change resilience and agronomical management practices for regional adaptationFrom1 Oct 2020 → 31 Dec 2023
- INnovations in plant VarIety Testing in Europe to foster the introduction of new varieties better adapted to varying biotic and abiotic conditions and to more sustainable crop management practicesFrom1 Jul 2019 → Today
- Prevention and remediation of soil compactionFrom1 Nov 2018 → 31 Oct 2022
Publications
1 - 10 of 10
- Phenotypic characterization of drought responses in red clover (Trifolium pratense L.)(2024)
Authors: Tim Vleugels, Aamir Saleem, Reena Dubey, Hilde Muylle, Irene Borra Serrano, Peter Lootens, Tom De Swaef, Isabel Roldán-Ruiz
- Breeding and Selection of Nursery Plants Assisted by High-Throughput Field Phenotyping Using UAV Imagery: Case Studies with Sweet Box (Sarcococca) and Garden Rose (Rosa)(2022)
Authors: Irene Borra Serrano
- Response of a Diverse European Soybean Collection to "Short Duration" and "Long Duration" Drought Stress(2022)
Authors: Aamir Saleem, Jonas Aper, Hilde Muylle, Irene Borra Serrano, Paul Quataert, Peter Lootens, Tom De Swaef, Isabel Roldán-Ruiz
- On the pivotal role of water potential to model plant physiological processes(2022)
Authors: Tom De Swaef, Olivier Pieters, Simon Appeltans, Irene Borra Serrano, Willem Coudron, Valentin Couvreur, Sarah Garré, Peter Lootens, Bart Nicolaï, Leroi Pols, et al.
- Improving Accuracy of Herbage Yield Predictions in Perennial Ryegrass with UAV-Based Structural and Spectral Data Fusion and Machine Learning(2021)
Authors: Joanna Pranga, Irene Borra Serrano, Jonas Aper, Tom De Swaef, An Ghesquiere, Paul Quataert, Isabel Roldán-Ruiz, Ivan Janssens, Greet Ruysschaert, Peter Lootens
- A view from above: the use of drones and image-based phenotyping in breeding and production of woody ornamentals(2021)Volume: 1331
Authors: Irene Borra Serrano, Susheng Wang
- Closing the Phenotyping Gap: High Resolution UAV Time Series for Soybean Growth Analysis Provides Objective Data from Field Trials(2020)
Authors: Irene Borra Serrano, Tom De Swaef, Paul Quataert, Jonas Aper, Aamir Saleem, Wouter Saeys, Ben Somers, Isabel Roldán-Ruiz, Peter Lootens
Pages: 1644 - Canopy height measurements and non-destructive biomass estimation of Lolium perenne swards using UAV imagery(2019)
Authors: Irene Borra Serrano, Tom De Swaef, Hilde Muylle, David Nuyttens, Jürgen Vangeyte, Koen Mertens, Wouter Saeys, Ben Somers, Isabel Roldán-Ruiz, Peter Lootens
Pages: 356-369 - Dronetechnologie bij de selectie van persistente voedergewassen(2018)
Authors: Matthieu Frijlink, Irene Borra Serrano, Peter Lootens, Koen Mertens, Jonas Aper, Ben Somers, Wouter Saeys
Pages: 5-6 - Towards an objective evaluation of persistency of Lolium perenne swards using UAV imagery(2018)
Authors: Irene Borra Serrano, Tom De Swaef, Jonas Aper, An Ghesquiere, Koen Mertens, David Nuyttens, Wouter Saeys, Ben Somers, Jürgen Vangeyte, Isabel Roldán-Ruiz, et al.