Search results for "Precision"

showing 10 items of 448 documents

Nanodiamond Theranostic for Light-Controlled Intracellular Heating and Nanoscale Temperature Sensing

2021

Temperature is an essential parameter in all biological systems, but information about the actual temperature in living cells is limited. Especially, in photothermal therapy, local intracellular temperature changes induce cell death but the local temperature gradients are not known. Highly sensitive nanothermometers would be required to measure and report local temperature changes independent of the intracellular environment, including pH or ions. Fluorescent nanodiamonds (ND) enable temperature sensing at the nanoscale independent of external conditions. Herein, we prepare ND nanothermometers coated with a nanogel shell and the photothermal agent indocyanine green serves as a heat generato…

ZelleDDC 540 / Chemistry & allied sciencesTechnologyLetterintracellular temperature manipulation and sensingHot TemperatureMaterials scienceNanodiamond nanogel intracellular temperature manipulation and sensing photothermal applicationCellsnanodiamondphotothermal applicationNanoparticleBioengineeringNanotechnology02 engineering and technologyBestrahlungNanodiamondsHeatingGeneral Materials ScienceIrradiationPrecision MedicineNanodiamondNanoscopic scaleMechanical EngineeringTemperatureNanometerbereichGeneral ChemistryNanokristallPhotothermal therapy021001 nanoscience & nanotechnologyCondensed Matter PhysicsFluorescenceNanocrystalsNanoscalenanogelddc:540Nanostrukturiertes MaterialCarbon nanomaterialsIrradiation0210 nano-technologyNanochemistryddc:600IntracellularNanogel
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Roughness evaluation of vine leaf by image processing

2013

International audience; The study of leaf surface roughness is very important in the domain of precision spraying. It is one of the parameters that allow to reduce costs and losses of phytosanitary prod- ucts and to improve the spray accuracy. Moreover, the leaf roughness is related to adhesion mechanisms of liquid on a surface. It can be used to define leaf nature surface (hy- drophilic/hydrophobic). The main goal of this study is thus to estimate and to follow the evolution of leaf roughness using image processing and computer vision. The develop- ment and application of computer vision for measurement of surface leaf roughness using artificial neural networks will be described. The syste…

[ MATH ] Mathematics [math]0106 biological sciences0209 industrial biotechnologyScanning electron microscope[SDV]Life Sciences [q-bio]Computer Vision[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[MATH] Mathematics [math]02 engineering and technologySurface finishLeaf roughness01 natural sciences[PHYS] Physics [physics][SPI]Engineering Sciences [physics]020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ SPI ] Engineering Sciences [physics]Surface roughnessComputer vision[MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS[PHYS]Physics [physics][ PHYS ] Physics [physics]Artificial neural network[STAT]Statistics [stat]Multilayer perceptron[SDE]Environmental SciencesBiological system[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingMaterials science[ STAT ] Statistics [stat][INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI] Engineering Sciences [physics]IASTEDFast Fourier transformNeural NetworkImage processingImage processing[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyTexturelanguage technologies[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingPrecision agriculturebusiness.industry[STAT] Statistics [stat]Precision agricultureArtificial intelligencebusiness010606 plant biology & botany
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Taking digitized points quality into account in geometrical specification measurement by laser sensor

2004

International audience; Today, the new measurement techniques without contact like the laser sensors are used more and more in industrial applications. They allow to obtain many points in a short time. However these techniques have a less good accuracy than the classical process with contact probe for metrology application. The work presented in this paper, is part of a research project on the in-process product inspection. In the case of in-process product inspection, the throughput time must be the shortest with a good dimensional accuracy. So, it is necessary to increase the measurement accuracy of the points cloud for using the laser scanners. For this first approach, we suggest to buil…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]EngineeringAccuracy and precisionbusiness.industrymedia_common.quotation_subject[PHYS.MECA.GEME] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Real-time computingCloud computingLaserlaw.inventionMetrologylaw[ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Measurement uncertaintyComputer visionQuality (business)Statistical dispersionArtificial intelligencebusiness[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Throughput (business)media_common
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Systèmes imageurs 3D pour des applications agricoles : caractérisation de cultures et phénotypage de racines

2016

The development of the concepts of precision agriculture and viticulture since the last three decades has shown the need to use first 2D image acquisition techniques and dedicated image processing. More and more needs concern now 3D images and information. The main ideas of this chapter is thus to present some innovations of the 3D tools and methods in the agronomic domain. This chapter will particularly focus on two main subjects such as the 3D characterization of crop using Shape from Focus or Structure from Motion techniques and the 3D use for root phenotyping using rhizotron system. Results presented show that 3D information allows to better characterize crucial crop morphometric parame…

[SDE] Environmental Sciences0106 biological sciences2. Zero hungerRoot (linguistics)Focus (computing)SHAPE FROM FOCUSComputer scienceMachine vision3D reconstructionImage processing04 agricultural and veterinary sciencesPHENOTYPAGE15. Life on land01 natural sciencesData scienceDomain (software engineering)Agricultural science[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesStructure from motionSTRUCTURE FROM MOTIONPrecision agriculture010606 plant biology & botany
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: J. Sci. Food Agric.

2017

Background: The measurement of carbon isotopic discrimination in grape sugars at harvest (δ13 C) is an integrated assessment of water status during ripening. It is an efficient alternative to assess variability in the field and discriminate between management zones in precision viticulture, but further work is needed to completely understand the signal.; Results: This work, spanning over 3 years, performed in a hillslope toposequence in Burgundy, delineates the relationships between main soil properties (gravel amount, slope, texture) and the grapevine water status assessed by δ13 C. The highest δ13 C, indicating most severe water deficit, was recorded in gravelly soils on steep slopes. The…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences0106 biological sciencesPropriété du solLeaf waterDisponibilité hydrique01 natural scienceswater stressDiscrimination isotopique du carbone[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry[SDV.IDA]Life Sciences [q-bio]/Food engineeringBotanyBourgogne[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVigneSoil propertiesSlop[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesTerroir2. Zero hungerViticultureNutrition and Dieteticsterroir[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringRipening04 agricultural and veterinary sciences15. Life on land[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/Geochemistrycarbon isotopic discriminationHorticultureVitis viniferaPrecision viticultureSoil waterslope040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceComposition (visual arts)ViticultureAgronomy and Crop Science010606 plant biology & botanyFood ScienceBiotechnologyJournal of the Science of Food and Agriculture
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Image acquisition and processing for precision farming applications

2015

Initially developed for technical industrial sectors such as medicine or aeronautics, imaging technics are more and more used since 30 years in agriculture and viticulture. The development of acquisition tool and the decreasing of the calculation time allowed using imagery in laboratory under controlled conditions. At the beginning of the 90’s, the concept of Precision Farming has been developed in the USA, considering a field as a heterogeneous area needing different input in terms of fertiliser or protection product. In the same time, the aperture of the GPS system for civil applications has allowed the development of remote sensing domain. Combining GPS information and imagery conducted …

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyimage acquisitionprecision farming applicationsimage processing
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Leaf surface roughness characterization by image processing

2013

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesleaf roughnessprecision agriculturecharacterization of the leaf surface[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyComputingMilieux_MISCELLANEOUSaccurate sprayingtexture analysisspectral analysis
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Approche multi-critère pour la caractérisation des adventices

2022

The objective of this thesis is to develop a way to detect weeds in a field using multispectral images, in order to determine which weeds should be eliminated during the current crop cycle and more particularly at the early stages. The multi-criteria approach focuses on the spatial arrangement, the spec- tral signature, the morphology and the tex- ture of the plants located in the plots. This work proposes a method for selecting the best criteria for optimal discrimination for a given setup. Prior to the extraction of these crite- ria, a set of methods was developed in order to correct the errors of the acquisition de- vice, to precisely detect the vegetation and then to identify within the…

[SDV] Life Sciences [q-bio]precision agricultureintelligence artificiellestatistiquesimage analysisstatisticsvision par ordinateuranalyse d’imageprédictionpredictionagriculture de précisionartificial intelligencecomputer vision
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Robotics for weed control: I-Weed Robot for a specific spraying

2012

International audience; To preserve environment for a sustainable agriculture, we explore the development of a new autonomous robot, called I-Weed Robot (Intelligent Weed Robot), which aims at reducing herbicides in crop fields (maize, sunflower...). Using a high precision positioning signal (RTK) to locate the robot in the field, a Kaman filter and a proportional-integral-derivative controller (PID controller) allow adjusting the orientation of the robot depending on a predefined trajectory. As for the spraying system, a camera in front of the mobile platform detects weed plants thanks to an image processing based on a crop/weed discrimination algorithm (Hough Transform). At the back a spr…

[SDV] Life Sciences [q-bio]weed controlherbicidesPrecision agriculturespraying[SDV]Life Sciences [q-bio]robotsmachine visionWeedsalgorithms[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Gas sensors arrays (electronic noses) : a study about the speed/accuracy ratio

2000

Abstract New Fingerprint Mass Spectra (FMS) systems claim for a higher precision, a reduced analysis time, and a lower drift, compared with Gas Sensors Arrays ‘Electronic Noses’. We demonstrated in this study that metal oxide gas sensors may have highly improved performances for both accuracy and run time, when used in optimum conditions. The different noise components were quantified referring to popular words (equivalent of ethanol concentration) using the transfer function of the sensor. It was pointed out that sample surrounding greatly affects the noise level, and that the signal-to-noise ratio may be dramatically increased, reducing the distortion generally assessed between sensor and…

[SPI.OTHER]Engineering Sciences [physics]/OtherAnalytical chemistry02 engineering and technology010402 general chemistry01 natural sciencesTransfer functionNoise (electronics)Standard deviationDistortionMaterials ChemistryRange (statistics)Electrical and Electronic EngineeringInstrumentationThroughput (business)ComputingMilieux_MISCELLANEOUSDetection limitChemistry[SPI.OTHER] Engineering Sciences [physics]/OtherMetals and Alloys021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsPRECISIONMass spectrum0210 nano-technology
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