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Poster De Conférence Année : 2022

LiDAR, a tool to inform sites-specific spraying: Application in a New York Concord grape production area

Résumé

In viticulture, linking a LiDAR, (Light Detection And Ranging) sensor with spraying devices, makes it possible to scan the vegetation while the tractor is passing through the rows and to adjust spray volumes to considerably improve the efficacy of the application of phytosanitary products. The objective of this work, carried out as continuation of the Efficient Vineyard project, led by Cornell University and supported by INRAE, was to test this in Concord vineyards and to propose a framework and workflow to analyse LiDAR sensor to evaluate, by simulation, the application of a variable spray dose according to the vegetative development of the vine. The plot to be treated is represented in a 3D image in the form of a point cloud representing the height, thickness and porosity of the foliage. For this purpose, the research presented here was based on predictive modelling of the quantities and profiles of spray deposits using models developed within the UMR ITAP. These models take into account the architecture of the canopy, the characteristics of the sprayers and the spatial precision of the application when modelling deposition rates. To this end, four acquisitions with a vehicle-mounted LiDAR sensor were carried out in the 2022 production system at the Cornell Lake Erie Research and Extension Laboratory vineyard (~20 ha). This field data was used to evaluate, through simulations, the value of developing precision spraying techniques associated with data-intensive digital agriculture, particularly for the Concord production case in western New York State, through simulations. This work resulted in the development of a coherent set of research tools that are being incorporated into the MyEV toolkit to generate maps of deposition patterns in Concord vineyards based on the spatial variability in the canopy. These will ultimately be used to inform spray management programs in these vineyards. The introduction of technologies for quantitative vegetation diagnosis (e.g. LiDAR), as well as an approach for calculating and managing an application rate (a functional dose relative to the leaf area), are essential to support site-specific management of agri-chemical application rates. It is now possible to use sprayers that implement variable rate technology to modulate the doses of plant protection products to be applied at fine spatial scales.
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Dates et versions

hal-04405538 , version 1 (19-01-2024)

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  • HAL Id : hal-04405538 , version 1

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Anice Cheraïet, James Taylor, Terry Bates. LiDAR, a tool to inform sites-specific spraying: Application in a New York Concord grape production area. Kimevine 2022, Apr 2022, Montpellier, France. ⟨hal-04405538⟩
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