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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
- Emphasis-Belgium - Phenotyping future cropsFrom1 Jan 2025 → TodayFunding: FWO International research infrastructure (IRI)
- New technologies and artificial intelligence for optimal crop management in floricultureFrom1 Oct 2024 → TodayFunding: VLAIO - VIL - Agriculture Tracks
- Breeding European Legumes for Increased SustainabilityFrom1 Oct 2023 → Today
- Climate-neutral agriculture through sustainable C farmingFrom1 Oct 2022 → Today
- Integrated SERVices supporting a sustainable AGROecological transitionFrom1 Sep 2022 → Today
- Ornamental cultivation moves to a higher levelFrom1 Sep 2022 → Today
- Optimization of grassland exploitation using a decision support toolFrom1 Jan 2022 → Today
- Future proof crops for the Flemish farmerFrom1 Jan 2022 → 31 Dec 2024
- EMPHASIS-Belgium - “phenotyping the future crops”From1 Jan 2021 → 31 Dec 2024
- 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
Publications
1 - 10 of 89
- Species-level detection of thrips and whiteflies on yellow sticky traps using YOLO-based deep learning detection models(2025)Published in: Frontiers in Plant ScienceISSN: 1664-462XVolume: 16
- Optimizing Plant Production Through Drone-Based Remote Sensing and Label-Free Instance Segmentation for Individual Plant Phenotyping(2025)Published in: HorticulturaeISSN: 2311-7524Issue: 9Volume: 11
- Closing the phenotyping gap with non-invasive belowground field phenotyping(2025)Published in: SOILISSN: 2199-3971Issue: 1Volume: 11Pages: 67-84
- Agroforlight: 3D light distribution modelling in agroforestry systems using high-resolution tree LiDAR scans(2025)Published in: Agroforestry SystemsISSN: 0167-4366Issue: 5Volume: 99
- Cross-Domain Transfer Learning for Weed Segmentation and Mapping in Precision Farming Using Ground and UAV Images(2024)Published in: Expert Systems with ApplicationsISSN: 0957-4174Issue: 12Volume: 246
- Quantification of species composition in grass-clover swards using RGB and multispectral UAV imagery and machine learning(2024)Published in: Frontiers in Plant ScienceISSN: 1664-462XVolume: 15Pages: 1
- Phenotypic characterization of drought responses in red clover (Trifolium pratense L.)(2024)Published in: Frontiers in Plant ScienceISSN: 1664-462XVolume: 14
- Assessment of fertilization strategies and policy measures for vegetables by simulation of a long-term cauliflower leek rotation(2023)Published in: European Journal of AgronomyISSN: 1161-0301Volume: 149
- Functional annotation of proteins for signaling network inference in non-model species(2023)Published in: Nature CommunicationsISSN: 2041-1723Issue: 1Volume: 14
- Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression(2023)Published in: PLOS Computational BiologyIssue: 5Volume: 19Pages: 1
Linked dataset
1 - 6 of 6
- Species-level monitoring of thrips and whiteflies on yellow sticky traps using YOLO-based deep learning detection models - Additional data and files
- 2023 HYDRAS Proof of concept experiment with soybean genotypes
- Predicting yield traits of individual field-grown Brassica napus plants from rosette-stage leaf gene expression
- Applying RGB- and Thermal-Based Vegetation Indices from UAVs for High-Throughput Field Phenotyping of Drought Tolerance in Forage Grasses
- Close range hyperspectral camera dataset with high temporal resolution of strawberry with eco-physiological data of one leaf
- High-resolution time series of leaf length and leaf thickness of strawberry and tomato measured in a growth chamber