Projecten per jaar
Uittreksel
We are currently developing a methodology, based on the use of unmanned aerial vehicles (UAVs) combined with different (spectral range) sensors, to monitor perennial ryegrass growth in a non-destructive way. The field trial used for this is located in Merelbeke (Belgium), and is part of GrassLandscape, a FACCE-JPI ERA-NET+ project. In this trial, 500 accessions sampling the natural diversity of the species across Europe and North Africa are grown in replicated micro-swards. As this set of accessions displays a very broad range of genetic and phenotypic diversity, including growth characteristics, it is an ideal target for the development of the methodology. In addition, the results obtained are directly useful to describe the growth characteristics of accessions adapted to different climatological conditions and their value for breeding purposes.
Frequent flights at low altitudes are performed to collect RGB imagery at high spatial and temporal resolution throughout the growing season to estimate canopy height and its temporal evolution. These data are combined with manual on-field measurements of canopy height, performed with an Herbometer, for validation. Correlations between the UAV data and on-field measurements will be calculated to determine the robustness and applicability of the methodology. Finally, canopy height data derived from UAV flights in combination with vegetation indices will be used to estimate the biomass volume and yield.
Oorspronkelijke taal | Engels |
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Publicatiestatus | Gepubliceerd - jul.-2017 |
Evenement | 11th European Conference on Precision Agriculture - Edinburgh, Verenigd Koninkrijk Duur: 17-jul.-2017 → 20-jul.-2017 |
Congres
Congres | 11th European Conference on Precision Agriculture |
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Verkorte titel | ECPA 2017 |
Land/Regio | Verenigd Koninkrijk |
Stad | Edinburgh |
Periode | 17/07/17 → 20/07/17 |
Vingerafdruk
Bekijk de onderzoeksthema's van 'Non-destructive monitoring of grassland canopy height using a UAV'. Samen vormen ze een unieke vingerafdruk.Projecten
- 1 Afgerond
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ISENSE: ILVO Sensor & Remote Sensing Platform
Vangeyte, J. (Projectverantwoordelijke), Broekaert, K. (Onderzoeker), De Swaef, T. (Onderzoeker), Demeyer, P. (Onderzoeker), Heungens, K. (Onderzoeker), Heyndrickx, M. (Onderzoeker), Lootens, P. (Onderzoeker), Robbens, J. (Onderzoeker), Roldán-Ruiz, I. (Onderzoeker), Tuyttens, F. (Onderzoeker), Sonck, B. (Onderzoeker), Van Nuffel, A. (Voormalig Onderzoeker), Van De Vijver, R. (Voormalig doctoraatsstudent), Givanoudi, S. (Voormalig doctoraatsstudent), Mertens, K. (Voormalig Onderzoeker), Zhuang, S. (Voormalig doctoraatsstudent) & Borra Serrano, I. (Voormalig doctoraatsstudent)
15/10/15 → 15/10/19
Project: Onderzoek