Search results for "texture"

showing 10 items of 402 documents

Quality of grapes grown inside paper bags in Mediterranean area

2020

The aim of this study was to evaluate the influence of paper bagging of grape bunches on the morphological, mechanical, and chemical characteristics of berries of three table grapes varieties as an environmentally-friendly technique for protecting clusters from biotic and abiotic agents. Clusters of Italia, Autumn Royal, and Regal Seedless grape cultivars were bagged and compared to a not-bagged control. Air temperature inside and outside the bags was monitored. Bunch weight and length, number of berries per bunch, berry longitudinal and transversal diameter, berry mass, number of seeds per berry (normal in size and aborted), soluble solid content, titratable acidity, and skin color by CIEL…

0106 biological sciencesTitratable acidBerry01 natural scienceslcsh:Agriculturetexture profile analysi0404 agricultural biotechnologySoluble solidspaper bagCultivarqualitative characteristicsMathematicsTable grapefungilcsh:S04 agricultural and veterinary sciences040401 food sciencetable grape paper bag texture profile analysis qualitative characteristicsHorticultureTexture profile analysisAir temperatureMediterranean areaAgronomy and Crop Sciencetable grape010606 plant biology & botanytexture profile analysis
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Ecophysiological Modeling of Grapevine Water Stress in Burgundy Terroirs by a Machine-Learning Approach

2016

13 pages; International audience; In a climate change scenario, successful modeling of the relationships between plant-soil-meteorology is crucial for a sustainable agricultural production, especially for perennial crops. Grapevines (Vitis vinifera L. cv Chardonnay) located in eight experimental plots (Burgundy, France) along a hillslope were monitored weekly for 3 years for leaf water potentials, both at predawn (Ψpd) and at midday (Ψstem). The water stress experienced by grapevine was modeled as a function of meteorological data (minimum and maximum temperature, rainfall) and soil characteristics (soil texture, gravel content, slope) by a gradient boosting machine. Model performance was a…

0106 biological sciences[ SDV.BV ] Life Sciences [q-bio]/Vegetal BiologySoil texture[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy[ SDV.SA.SDS ] Life Sciences [q-bio]/Agricultural sciences/Soil studyContext (language use)Plant Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil studylcsh:Plant culture01 natural sciencesVineyardwater stressWater balancewater balance[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/Agronomygradient boosting machine (GBM)Climate change scenarioBotany[SDV.BV]Life Sciences [q-bio]/Vegetal Biologylcsh:SB1-1110Original ResearchTerroir2. Zero hungerHydrologymachine-learninggrapevine (Vitis vinifera L.)temperature04 agricultural and veterinary sciences15. Life on landcarbon isotope discrimination δ13Cplant-soil water relationships040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceGradient boostingScale (map)carbon isotope discrimination d13Ccarbon isotopic discrimination (δ13C)010606 plant biology & botanyFrontiers in Plant Science
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Protocol for the Definition of a Multi-Spectral Sensor for Specific Foliar Disease Detection: Case of “Flavescence Dorée”

2018

Flavescence Doree (FD) is a contagious and incurable grapevine disease that can be perceived on leaves. In order to contain its spread, the regulations obligate winegrowers to control each plant and to remove the suspected ones. Nevertheless, this monitoring is performed during the harvest and mobilizes many people during a strategic period for viticulture. To solve this problem, we aim to develop a Multi-Spectral (MS) imaging device ensuring an automated grapevine disease detection solution. If embedded on a UAV, the tool can provide disease outbreaks locations in a geographical information system allowing localized and direct treatment of infected vines. The high-resolution MS camera aims…

0106 biological sciences[SDE] Environmental SciencesDisease detectionComputer science[SDV]Life Sciences [q-bio]Multispectral imageradiometric/geometric correctionsFeature selectionMulti spectral01 natural sciencesfeature selection[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologytexture analysisProtocol (science)Artificial neural networkbusiness.industrymultispectral sensorOutbreakPattern recognition04 agricultural and veterinary sciencesFlavescence Dorée3. Good health[SDV] Life Sciences [q-bio]Identification (information)classification[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesFlavescence doréeArtificial intelligencebusiness010606 plant biology & botany
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A microbiological, physicochemical, and texture study during storage of yoghurt produced under isostatic pressure

2019

Abstract This work aimed to study refrigeration storage (4 °C for 23 days) of yoghurt produced at 43 °C under sub-lethal high pressure, at 10, 20, 30 and 40 MPa, in comparison with the fermentation process at atmospheric pressure (0.1 MPa). Lactic acid bacteria (S. thermophilus and L. bulgaricus, LAB) and quality parameters like pH, titratable acidity, syneresis and colour were evaluated, along with textural analyses to infer how pressure would impact the obtained yoghurt along storage. Higher fermentation pressures resulted in slightly lower LAB loads (a maximum of 1.01 Log (CFU/mL)) and increased the fermentation time (a maximum of 3 h 25 min), syneresis (a maximum of 44%), all for 40 MPa…

0106 biological sciences[SDV.BIO]Life Sciences [q-bio]/BiotechnologyStorageTitratable acid01 natural scienceschemistry.chemical_compound0404 agricultural biotechnology010608 biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringFood scienceTexture (crystalline)[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]ComputingMilieux_MISCELLANEOUSSub-lethal stressSyneresisAtmospheric pressurefood and beveragesRefrigeration[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biology04 agricultural and veterinary sciences040401 food science[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biomolecules [q-bio.BM]Lactic acidHigh pressurechemistryYoghurtHigh pressureFermentation[SDV.AEN]Life Sciences [q-bio]/Food and NutritionLactic fermentationFood ScienceLWT
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Modelling vertical and lateral seed bank movements during mouldboard ploughing

2000

Abstract The vertical distribution of weed seeds in the soil is of fundamental importance because seedling emergence depends on seed depth. The lateral displacement of the earth during mouldboard ploughing contributes to the dispersal of the weeds inside the tilled field. In order to model vertical and lateral seed displacements during ploughing, an existing model describing soil particle movements for different ploughing characteristics (depth and width) and soil structures was tested on a multilocal field trial. The trials were carried out in 1996 and 1997 and comprised two soil textures and three soil structures; tillage was performed with a mouldboard plough at varying ploughing widths …

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesbusiness.product_categorySoil textureSeed dispersalSoil ScienceSoil sciencePlant Science01 natural sciencesPloughVertical directionComputingMilieux_MISCELLANEOUS[SDV.SA] Life Sciences [q-bio]/Agricultural sciences04 agricultural and veterinary sciences15. Life on landWeed controlTillageSoil structureAgronomySoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesbusinessAgronomy and Crop ScienceGeology010606 plant biology & botany
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Quality Assessment of Reconstruction and Relighting from RTI Images: Application to Manufactured Surfaces

2019

In this paper, we propose to evaluate the quality of the reconstruction and relighting from images acquired by a Reflectance Transformation Imaging (RTI) device. Three relighting models, namely the PTM, HSH and DMD, are evaluated using PSNR and SSIM. A visual assessment of how the reconstructed surfaces are perceived is also carried out through a sensory experiment. This study allows to estimate the relevance of these models to reproduce the appearance of the manufactured surfaces. It also shows that DMD reproduces the most accurate reconstruction/relighting to an acquired measurement and that a higher sampling density don't mean necessarily a higher perceptual quality.

0209 industrial biotechnologyComputer sciencebusiness.industryQuality assessmentmedia_common.quotation_subject02 engineering and technologyIterative reconstruction020901 industrial engineering & automationVisual assessment0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionQuality (business)Relevance (information retrieval)Artificial intelligenceSampling densityPolynomial texture mappingbusinessSurface reconstructionmedia_common2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Influence of residual stress, surface roughness and crystallographic texture induced by machining on the corrosion behaviour of copper in salt-fog at…

2012

International audience; The influence of quadratic stress, crystallographic texture, lubrication and surface roughness generated by superfinish turning on the corrosion behaviour of pure copper was quantified in salt-fog atmosphere. This was done using statistical analysis (Pearson's correlation matrix). Three compounds were found after corrosion tests: atacamite/paratacamite and a black layer (mixture of the lubricant and the salt atmosphere). Surface characteristics were classified according to their decreasing influence on the formation of atacamite/paratacamite as follows: surface roughness and quadratic stress. Lubrication and the crystallographic texture have the lowest influence on c…

0209 industrial biotechnologyMaterials sciencePREDICTIONGeneral Chemical EngineeringINHIBITIONchemistry.chemical_element02 engineering and technologyengineering.materialPARAMETERSCorrosionStress (mechanics)MEDIA020901 industrial engineering & automationResidual stressSurface roughnessGeneral Materials ScienceTexture (crystalline)MetallurgyGeneral ChemistrySTAINLESS-STEELS021001 nanoscience & nanotechnologyCopperMODELSOILCrystallographychemistryengineeringLubricationAtacamite0210 nano-technologyRESISTANCE
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Impact des conditions d'usinage sur la zone du matériau affectée par le procédé

2007

Colloque avec actes et comité de lecture. Internationale.; International audience; Les procédés d'usinage peuvent créer des contraintes résiduelles à la surface des pièces usinées et ainsi modifier la microstructure et la texture de la matière proche de la surface. De tels changements sont importants pour l'étude du comportement des pièces au cours du temps. Il est alors nécessaire de quantifier les contraintes résiduelles, les composantes de texture et de déterminer la microstructure induite par l'usinage pour comprendre et prédire le comportement des surfaces considérées. Dans cette étude, le matériau cuivre pur a été choisi et considéré comme un "système modèle". En tournage, l'influence…

0209 industrial biotechnologyMaterials scienceScanning electron microscopecontraintes02 engineering and technologySurface finishIndustrial and Manufacturing Engineering020901 industrial engineering & automationOpticsMachiningResidual stressGeneral Materials ScienceTexture (crystalline)LubricantComposite materialtournagezone affectéebusiness.industryMechanical EngineeringSurface stress[PHYS.MECA]Physics [physics]/Mechanics [physics]021001 nanoscience & nanotechnologyMicrostructure[PHYS.MECA] Physics [physics]/Mechanics [physics]0210 nano-technologybusiness
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Visual saliency detection in colour images based on density estimation

2017

International audience; A simple and effective method for visual saliency detection in colour images is presented. The method is based on the common observation that local salient regions exhibit distinct geometric and and texture patterns from neighbouring regions. We model the colour distribution of local image patches with a Gaussian density and measure the saliency of each patch as the statistical distance from that density. Experimental results with public datasets and comparison with other state-of-the-art methods show the effectiveness of our method.

0209 industrial biotechnologybusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitionGaussian density02 engineering and technologyDensity estimation[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Measure (mathematics)Texture (geology)020901 industrial engineering & automationSalientComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessComputingMethodologies_COMPUTERGRAPHICSVisual saliencyElectronics Letters
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Temporal dominance of sensations

2017

International audience; Sensory evaluation is a scientific discipline used to evoke, measure, analyse and interpret responses to products perceived through the senses of sight, smell, touch, taste and hearing. It is used to reveal insights into the way in which sensory properties drive consumer acceptance and behaviour, and to design products that best deliver what the consumer wants. It is also used at a more fundamental level to provide a wider understanding of the mechanisms involved in sensory perception and consumer behaviour. Sensory perception of products alters considerably during the course of consumption/use. Special techniques are used in product development to measure these chan…

0301 basic medicine030109 nutrition & dieteticsmedia_common.quotation_subjectfooddescriptive analysiscoffee04 agricultural and veterinary sciencesperception040401 food science03 medical and health sciences[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition0404 agricultural biotechnologyDominance (ethology)PerceptionconsumptionPsychologySocial psychology[SDV.AEN]Life Sciences [q-bio]/Food and NutritiontextureTDSmedia_common
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