Researcher
Peter Lootens
- Disciplines:Agricultural spatial analysis and modelling, Crop science, Horticultural crop production, Scientific computing not elsewhere classified
Affiliations
- Plant Sciences (Research unit)
Responsible
From1 Jan 2019 → Today - Growth and Development (Division)
Responsible
From1 Dec 1994 → 31 Dec 2018
Projects
1 - 10 of 15
- Breeding European Legumes for Increased SustainabilityFrom1 Oct 2023 → Today
- Integrated SERVices supporting a sustainable AGROecological transitionFrom1 Sep 2022 → Today
- Optimization of grassland exploitation using a decision support toolFrom1 Jan 2022 → Today
- 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
- Within- and among-variability of root trait responses to N availability in two forage legumesFrom1 Sep 2020 → 31 Aug 2021
- 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
- Using the computing capacity of plants to understand their physiology and stress responseFrom1 Oct 2017 → 30 Sep 2021
Publications
31 - 40 of 98
- System characterization of a snapshot mosaic spectral camera for UAV applications in agriculture(2019)
Authors: Ruben Van De Vijver, Thomas Goossens, Koen Mertens, Wouter Saeys, Peter Lootens, Ben Somers, Andy Lambrechts, Chris Van Hoof
- 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 - Use of identifiability analysis in designing phenotyping experiments for modelling forage production and quality(2019)
Authors: Tom De Swaef, Gianni Bellocchi, Jonas Aper, Peter Lootens, Isabel Roldán-Ruiz
Pages: 2587-2604 - 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.
- Introducing turgor-driven growth dynamics into functional-structural plant models(2018)
Authors: Jonas Coussement, Tom De Swaef, Peter Lootens, Isabel Roldán-Ruiz, Kathy Steppe
Pages: 849-861 - The variable effect of polyploidization on the phenotype in Escallonia(2018)
Authors: Hanne Denaeghel, Katrijn Van Laere, Leen Leus, Peter Lootens, Johan Van Huylenbroeck, Marie-Christine Van Labeke
Pages: 354 - Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery(2018)
Authors: Junfeng Gao, Wenzhi Lao, David Nuyttens, Peter Lootens, Jürgen Vangeyte, Aleksandra Pizurica, Yong He, Jan Pieters
Pages: 43-53 - Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery(2018)
Authors: Junfeng Gao, David Nuyttens, Peter Lootens, Yong He, Jan Pieters
Pages: 39-50 - A flexible geometric model for leaf shape descriptions with high accuracy(2018)
Authors: Jonas Coussement, Kathy Steppe, Peter Lootens, Isabel Roldán-Ruiz, Tom De Swaef
Linked dataset
1 - 4 of 4
- Predicting yield traits of individual field-grown Brassica napus plants from rosette-stage leaf gene expression (Creator)
- Applying RGB- and Thermal-Based Vegetation Indices from UAVs for High-Throughput Field Phenotyping of Drought Tolerance in Forage Grasses (Other)
- Close range hyperspectral camera dataset with high temporal resolution of strawberry with eco-physiological data of one leaf (Other)
- High-resolution time series of leaf length and leaf thickness of strawberry and tomato measured in a growth chamber (Creator)