Search results for "Grapevine Diseases"

showing 4 items of 4 documents

USE OF ALGINATES OLIGOMERS TO IMPROVE PLANT PROTECTION AGAINST PATHOGENS

2021

The invention concerns the use of alginate oligomers in sequence α(1-4)Guluronane and/or ß(1-4)Mannuronane having a DP greater than 30, as an active ingredient of biocontrol products in plants, and that may be combined with another molecules such as phytohormones, against cryptogamic diseases of plants, in particular of vine (Vitis vinifera), or to protect other species against aggressors such as pathogenic microbes or insects.

Biocontrol Products[SDV] Life Sciences [q-bio]AlginateMildew and powdery mildewGrapevine Diseases
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POLYSACCHARIDE COMPOUNDS AND USE OF SAME FOR STIMULATING DEFENCE RESPONSES OF PLANTS AGAINST PATHOGENIC MICROORGANISMS

2020

The present invention relates to novel oligogalacturonans having a degree of methylation of 0 and a degree of polymerisation of 1 to 10, and to use there of for stimulating defence responses of plants against pathogenic microorganisms.

Biocontrol Products[SDV] Life Sciences [q-bio]Grapevine DiseasesMildewsOligogalacturonides
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Analyses spectrale et texturale de données haute résolution pour la détection automatique des maladies de la vigne

2019

‘Flavescence dorée’ is a contagious and incurable disease present on the vine leaves. The DAMAV project (Automatic detection of Vine Diseases) aims to develop a solution for automated detection of vine diseases using a micro-drone. The goal is to offer a turnkey solution for wine growers. This tool will allow the search for potential foci, and then more generally any type of detectable vine disease on the foliage. To enable this diagnosis, the foliage is proposed to be studied using a dedicated high-resolution multispectral camera.The objective of this PhD-thesis in the context of DAMAV is to participate in the design and implementation of a Multi-Spectral (MS) image acquisition system and …

Variable selection[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Maladies de la VigneSpectral analysisAnalyse de textureSélection de variablesFlavescence DoréeClassification de donnéesData classificationGrapevine diseasesTextural analysisAnalyse spectrale
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Analyse spectrale et texturale de données à haute résolution pour la détection automatique des maladies de la vigne

2019

‘Flavescence dorée’ is a contagious and incurable disease present on the vine leaves. In order to contain the infection, the regulations require growers to control each of the vine rows and to remove the suspect vine plants. This monitoring is done on foot during the harvest and mobilizes many people during a strategic period for viticulture. In order to solve this problem, the DAMAV project (Automatic detection of Vine Diseases) aims to develop a solution for automated detection of vine diseases using a micro-drone. The goal is to offer a turnkey solution for wine growers. This tool will allow the search for potential foci, and then more generally any type of vine diseases detectable on th…

capteur multispectralmultispectral sensor[SDV]Life Sciences [q-bio]indices de végétationalgorithmes génétiquesgrapevine diseases detectiondétection des maladies de la vignegenetic algorithms[SDV] Life Sciences [q-bio]successive projections algorithmfeature selectionclassificationalgorithmes de projections successivesvegetation indicesanalyse de texturesélection de caractéristiquestexture analysis
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