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
1 - 10 of 72
- Cross-Domain Transfer Learning for Weed Segmentation and Mapping in Precision Farming Using Ground and UAV Images(2024)
Authors: Junfeng Gao, W Liao, David Nuyttens, Peter Lootens, Wenxin Xue, E Alexandersson, Jan Pieters
- 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
- Determining frost tolerance in Lavandula(2023)Volume: 1383
Authors: Ewout Van Oost, Leen Leus, Katrijn Van Laere, Peter Lootens, Bert De Rybel
Pages: 127-136 - Functional annotation of proteins for signaling network inference in non-model species(2023)
Authors: Lisa Van den Broeck, Dinesh Kiran Bhosale, Kuncheng Song, Cássio Flavio Fonseca de Lima, Michael Ashley, Tingting Zhu, Shanshuo Zhu, Brigitte Van De Cotte, Pia Neyt, Anna Cristina Ortiz, et al.
- Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression(2023)
Authors: Sam De Meyer, Daniel Felipe Cruz, Tom De Swaef, Peter Lootens, Jolien De Block, Kevin Bird, Heike Springer, Michael Van de Voorde, Stijn Hawinkel, Tom Van Hautegem, et al.
Pages: 1 - Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability(2023)
Authors: Willem Coudron, P. De Frenne, Kris Verheyen, Anne Gobin, Charlotte Boeckaert, Tim De Cuypere, Peter Lootens, Sabien Pollet, Tom De Swaef
- Assessing frost tolerance in Lavandula spp. by measuring electrolyte leakage.(2023)Volume: 1372
Authors: Ewout Van Oost, Katrijn Van Laere, Peter Lootens, Bert De Rybel, Paul Quataert, Leen Leus
Pages: 183-192 - Germination Kinetics and Chlorophyll Fluorescence Imaging Allow for Early Detection of Alkalinity Stress in Rhododendron Species(2022)
Authors: Shusheng Wang, Leen Leus, Peter Lootens, Johan Van Huylenbroeck, Marie-Christine Van Labeke
Pages: 1 - 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.
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)