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RESEARCH PRODUCT

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

Marie-aure BourgeonJean-noël PaoliSylvain VilletteS. DebuissonM. MorletGawain JonesChristelle Gee

subject

0106 biological sciences010104 statistics & probability[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingNDVImultispectral imagingfoliage characterizationprecision viticulture15. Life on land0101 mathematics01 natural sciencesin-field acquisition010606 plant biology & botany

description

International audience; 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.

https://hal-agrosup-dijon.archives-ouvertes.fr/hal-01997673/file/ECPA2015_proceeding_Bourgeon_fin.pdf