Le présent article porte sur la surveillance de vignobles aux fins de l'évaluation du stress hydrique et de la maturité des raisins, et ce, au moyen d'un véhicule aérien sans pilote (UAV) muni de caméras multispectrale, infrarouge ainsi que rouge-vert-bleu (RVB). These facts suggest that the instruments used in this study represent a fast, reliable, and efficient solution to the evaluation of crops for agricultural applications. Furthermore, the final results were of high resolution as far as farm purposes are concerned (a scale of 1:500 for all three sensors). The TCARI/OSAVI index showed the best correlation with the grape samples with regards to maturity and the likelihood of water stress. Grape samples were collected 2 days before harvest and then analyzed and correlated with remote sensing indices. The flight images were photogrammetrically processed for the production of orthoimages and then used to extract indices for the detection of water stress. Fifteen flights were conducted with a fixed-wing UAV during the months of April to August 2015 with a mean interval of 2 weeks. The study area is the Gerovassiliou winery in the region of Epanomi, Greece, cultivated with the local grape variety of Malagouzia. An upgrade and maintenance fee must be paid to upgrade to any software version released during the paid update period.For more information on the upgrade fee for the Permanent version, please refer to the "DJI Terra Permanent Version Upgrade & Maintenance Fee Rules".This paper deals with the monitoring of vineyards for the assessment of water stress and grape maturity using an unmanned aerial vehicle (UAV) equipped with multispectral/infrared and red-green-blue (RGB) cameras. The paid update period shall start after one year. Permanent certificates can be upgraded to any software version within one year after activation and binding. (3)Without logging into a DJI account, some flight control functions in DJI Terra will be restricted.ġ5. The following online features are not available in Offline Mode: The reconstruction of 500+ photos is not supported by the Education.ġ4. Compatible with the Phantom 4 RTK (remote controller with screen), Phantom 4 Pro V2.0, Phantom 4 Pro + V2.0, Phantom 4 Pro, Phantom 4 Advanced, and Phantom 4.ġ3. (2) Matrice 300 RTK + H20 Series Payloadsġ2. (1) Phantom 4 RTK (remote controller without screen) Only the following models support the import use of the Detailed Inspection mission routes: This feature is supported by the Phantom 4 RTK (remote controller with screen), Phantom 4 Pro V2.0+, and Phantom 4 Pro V2.0 only. Vegetation indices supported: NDVI, GNDVI, NDRE, LCI, OSAVI.ġ0. Aircraft supported: DJI Mavic 3 Multispectra, P4 Multispectralīlue (B): 450 nm ± 16 nm, green (G): 560 nm ± 16 nm, red (R): 650 nm ± 16 nm, red edge (RE): 730 nm ± 16 nm, near-infrared (NIR): 840 nm ± 26 nm Image captured by the Phantom 4 RTK and processed at high resolution through three high-performance worker devices.ĩ. Image captured by the Phantom 4 RTK and processed at high resolution through high-performance workstations.Ĩ. Vertical accuracy refers to reconstruction accuracy for oblique images.ħ. The actual accuracy can be affected by RTK positioning precision, on-site lighting, camera lenses, and route planning. The accuracy data were derived from a large amount of actual data generated by the Phantom 4 RTK and Zenmuse P1. Reconstruction accuracy without GCPs: Horizontal = 1 cm + 1~2 times the GSD Vertical = 2 cm + 1.5-3 times the GSD. Image captured by the Phantom 4 RTK and processed at high resolution through five high-performance worker devices.Ħ. Image captured by the Phantom 4 RTK and processed at high resolution through high-performance workstations.ĥ. Worker devices should be able to process 6,000 photos, and the method of calculating their free memory size and corresponding quantity of images they can process is the same as for the standalone version.Ĥ. This data applies only to control devices. The results may vary depending on image overlap and the surface texture at the site. The 6,000 photos/1GB free memory was tested based on a 80% forward and 70% side overlap rate, with the images captured in a downward direction, carrying GPS information. System requirements: Windows 7 or above (64 bit, 32GB RAM), NVIDIA graphics card (4GB) with compute capability 3.0 or above.Ģ.Processing capability of 400 images/1GB free memory is based on 80% overlap in heading, 70% overlap in side direction, downward looking image data with GPS information, which may vary depending on image overlap and scene texture.ģ.
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