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 13
- 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
- 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
- Improved early vigor and yield of industrial cichoryFrom1 Jan 2011 → 31 Dec 2019
- Discriminating between seeds of ryegrass species using image analysisFrom1 Sep 2009 → 31 Dec 2019
Publications
11 - 20 of 72
- Antitranspirants putrescine and abscisic acid improve acclimatization of micropropagated spathiphyllum 'lima' regel(2021)
Authors: Emmy Dhooghe, Peter Lootens, Christof Van Poucke, Ellen De Keyser, Johan Van Huylenbroeck
Pages: 67-77 - 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
- Applying RGB- and Thermal-Based Vegetation Indices from UAVs for High-Throughput Field Phenotyping of Drought Tolerance in Forage Grasses(2021)
Authors: Tom De Swaef, Wouter Maes, Jonas Aper, Joost Baert, Mathias Cougnon, Dirk Reheul, Kathy Steppe, Isabel Roldán-Ruiz, Peter Lootens
Pages: 1-24 - Data collection design for calibration of crop models using practical identifiability analysis(2021)
Authors: Willem Coudron, Anne Gobin, Charlotte Boeckaert, Tim De Cuypere, Peter Lootens, Sabien Pollet, Kris Verheyen, P. De Frenne, Tom De Swaef
- Limitations of snapshot hyperspectral cameras to monitor plant response dynamics in stress-free conditions(2020)
Authors: Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels
- Turgor-driven plant growth applied in a soybean functional–structural plant model(2020)
Authors: Jonas Coussement, Tom De Swaef, Peter Lootens, Kathy Steppe
Pages: 729-744 - Gloxinia-An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants(2020)
Authors: Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels
- 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 - 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
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)