0000000000983954

AUTHOR

Marie-aure Bourgeon

showing 3 related works from this author

L'imagerie multispectrale embarquée pour caractériser la croissance et l'état sanitaire du feuillage de la vigne

2015

Multispectral imaging systems are widely used in remote sensing and applied to viticulture context for the canopy characterization. This technique is not used in proximal sensing, to characterize vineyard foliage. Yet the results of field tests led in fixed position have revealed its capacity to estimate the leaf area. The aim of this project is to assess the suitable of a multispectral imaging system as an embedded sensor for vine foliage characterization. To this end, a multispectral camera acquiring visible and near-infrared images and a Greenseeker RT-100 apparatus providing an NDVI (Normalized Difference Vegetation Index), were installed on a track laying tractor. It was equipped with …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[ SDV ] Life Sciences [q-bio][INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingNDVI[SDV]Life Sciences [q-bio]croissance foliairefoliage developmentImagerie multispectrale embarquée[SDV] Life Sciences [q-bio]zone des grappes[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingembedded multispectral imaging systemberry area development[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyProxidétectionproximal sensing;embedded multispectral imaging system;foliage development;berry area development;NDVIproximal sensing
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« On-the-go » multispectral imaging system to characterize the development of vineyard foliage

2015

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 re…

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
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"On-the-go" multispectral imaging system embedded on a track laying tractor to characterize the vine foliage

2015

Mutispectral imaging systems are widely used in remote sensing for Precision Viticulture. In this work, this technique was applied in the proximal sensing context to characterize vine foliage. A mobile terrestrial experimental system is presented, composed of a GPS receiver, a multi-spectral camera acquiring visible and near infrared images, and a Greenseeker RT-100 which measures the Normalized Difference Vegetative Index (NDVI). This optical system observes vine foliage in the trellis plan, in natural sunlight. The experimental field is planted with Chardonnay, Pinot Noir and Meunier cultivars in a latin squared pattern. In 2013, six datasets were acquired at various phenological stages.S…

État sanitaireSanitary stateNDVIVine foliageGreenseekerFeuillageViticulture de précisionIn-field phenotypingGrapes areaMulti-spectral imaging systemPhénotypage au champImagerie multi-spectraleZone des grappesGrowing follow-upProxidétectionProximal sensingSuivi de croissancePrecision viticulture[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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