« On-the-go » multispectral imaging system to characterize the development of vineyard foliage

Abstract : In Precision Viticulture, multispectral imaging systems are currently used in remote sensing for vineyard vigor characterization but few are employed in proximal sensing. This work presents the potential of a proximal multispectral imaging system mounted on a track-laying tractor equipped with a Greenseeker RT-100 to provide an NDVI index. The camera acquired visible and near-infrared images which were calibrated in reflectance. Vegetation indices were computed and compared to Greenseeker data. From two of the resulting datasets, a spatio-temporal study of foliage description through both optical systems is presented. This first study assessed the proximal imagery regarding the similarity of results.
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Marie-Aure Bourgeon, Jean-Noël Paoli, Sylvain Villette, S. Debuisson, M. Morlet, et al.. « On-the-go » multispectral imaging system to characterize the development of vineyard foliage. Proceedings of the 10th European Conference on Precision Agriculture, Jul 2015, Tel Aviv, Israel. ⟨hal-01997673⟩

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