0000000000102141

AUTHOR

Jean-claude Simon

showing 24 related works from this author

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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Interoperability of B2B Applications

2011

This paper presents a Web-based data integration methodology and tool framework, called X-TIME, for the development of Business-to-Business (B2B) design environments and applications. X-TIME provides a data model translator toolkit based on an extensible meta model and XML. It allows the creation of adaptable semantic-oriented meta models to support the design of wrappers or reconciliators (mediators), taking into account characteristics of interoperable information systems, such as extensibility and composability. X-TIME defines a set of meta types which correspond to g meta level semantic descriptors of data models found in the Web. The meta types are organized in a generalization hierarc…

Computer sciencebusiness.industrycomputer.internet_protocol05 social sciencesInteroperabilityBusiness-to-business050905 science studies0502 economics and businessSystem integration0509 other social sciencesbusinessSoftware engineeringcomputer050203 business & managementXML
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3D image acquisition system based on shape from focus technique

2013

agent Agrosup Dijon de l'UMREcolDurGEAPSI; This paper describes the design of a 3D image acquisition system dedicated to natural complex scenes composed of randomly distributed objects with spatial discontinuities. In agronomic sciences, the 3D acquisition of natural scene is difficult due to the complex nature of the scenes. Our system is based on the Shape from Focus technique initially used in the microscopic domain. We propose to adapt this technique to the macroscopic domain and we detail the system as well as the image processing used to perform such technique. The Shape from Focus technique is a monocular and passive 3D acquisition method that resolves the occlusion problem affecting…

Engineering[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[SDV]Life Sciences [q-bio]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONscenesImage processingagronomic scenes[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyClassification of discontinuitieslcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryDomain (software engineering)shape from focusDepth map0202 electrical engineering electronic engineering information engineeringagronomiclcsh:TP1-1185Computer vision3D image acquisition system;shape from focus;focus measure;agronomic;scenesDepth of fieldElectrical and Electronic EngineeringInstrumentationComputingMethodologies_COMPUTERGRAPHICS3D image acquisition systemfocus measureMonocular[ SDV ] Life Sciences [q-bio]business.industry3D image acquisition system; shape from focus; focus measure; agronomic scenesScene statisticsDistributed object021001 nanoscience & nanotechnologyAtomic and Molecular Physics and Optics020201 artificial intelligence & image processingArtificial intelligence0210 nano-technologybusiness
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Self-phase modulation-based 2R regenerator including pulse compression and offset filtering for 42.6 Gbit/s RZ-33% transmission systems

2009

International audience; We report on the experimental and theoretical study of a self-phase-modulation-based regenerator at 42.6 Gbit/s with a return-to-zero 33% format. We point out some detrimental effects such as intrachannel interactions and Brillouin scattering. An efficient solution, relying on a self-phase-modulation-based pulse compressor in combination with the regenerator, is proposed to overcome these detrimental phenomena. The experimental demonstration shows the effectiveness of a wavelength-transparent regenerator at 42.6 Gbit/s with a sensitivity-improvement of more than 5 dB and an eye-opening improvement of 2.3 dB in a back-to-back configuration, as well as a 10 times maxim…

Offset (computer science)Materials science060.2330 ; 070.4340 ; 190.3270 ; 190.438002 engineering and technologyMamyshev 2R regeneratorSensitivity and Specificity01 natural sciences010309 optics020210 optoelectronics & photonicsOpticsBrillouin scattering0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer SimulationMicrowavesSelf-phase modulationOptical amplifierbusiness.industryCross-phase modulationOptical DevicesReproducibility of ResultsEquipment DesignModels TheoreticalAtomic and Molecular Physics and OpticsEquipment Failure AnalysisRefractometryPulse compressionRegenerative heat exchangerTelecommunicationsComputer-Aided DesignbusinessFiltration
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Plant resistance and architecture for protection of pulses against pathogens

2019

Prod 2019-213c BAP GEAPSI INRA; National audience

[SDE] Environmental Sciences[SDV.GEN]Life Sciences [q-bio]/Genetics[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[SDV]Life Sciences [q-bio][SDV.GEN] Life Sciences [q-bio]/Genetics[SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics[SDV.IDA] Life Sciences [q-bio]/Food engineering[SDV] Life Sciences [q-bio][SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics[SDE]Environmental Sciences[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringComputingMilieux_MISCELLANEOUS
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A fiber-based limiter at 170 Gbit/s for all-optical regeneration

2009

We report the numerical and experimental studies of a spectrally filtered fiber-based optical limiter at 170 Gbit/s. The device, including less than 1 km-long of highly nonlinear optical fiber and a 3 nm-width filter, exhibits good performance at an average input power of 14.5 dBm. No power penalty has been observed and a strong robustness against optical noise has been demonstrated.

Multi-mode optical fiberMaterials scienceOptical fiberbusiness.industrydBmPhysics::OpticsNonlinear opticslaw.inventionRobustness (computer science)lawLimiterOptoelectronicsDispersion-shifted fiberTelecommunicationsbusinessOptical filter2009 International Conference on Advanced Technologies for Communications
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Construction de Modèles Prédictifs pour l'Analyse des Relations Oiseaux-Paysage

2013

National audience; Cet article présente une comparaison de trois méthodes (Modèles Linéaires Généralisés, Réseaux de Neurones, Machines Vecteurs Supports) et de différentes combinaisons de prétraitements de données (filtrage, arrondi, analyse factorielle, sélection de paramètres). L'objectif de cette comparaison est de définir quel est le processus qui permet de construire le meilleur modèle prédictif, dans le cadre de la prédiction d'abondances d'espèces d'oiseaux à partir de variables décrivant le paysage. Nous comparerons les modèles grâce à l'erreur moyenne absolue et à l'information mutuelle. Cette comparaison a montré qu'aucune technique étudiée ne permet de construire des modèles pré…

[ SDV.BID ] Life Sciences [q-bio]/Biodiversity[SPI]Engineering Sciences [physics]relations espèces-environnement[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][SPI] Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]oiseauxdata mining[SDV.BID]Life Sciences [q-bio]/Biodiversity[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML][STAT.ML] Statistics [stat]/Machine Learning [stat.ML][SDV.BID] Life Sciences [q-bio]/Biodiversitymodélisation
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Key Note speaker Plant resistance and architecture for protection of pulses against biotic stresses

2019

Prod 2019-88l BAP GEAPSI INRA DOCT; National audience; Major diseases and pests, such as root rots, ascochyta blights and aphids, are limiting factors to cool season pulse production in many countries worldwide, especially in Europe. In the context of pesticide reduction, plant genetic resistance and architecture are main traits that can be mobilised in breeding for disease and pest management. Knowledge of quantitative resistance to major diseases and pests of pea and faba bean in France has benefited from the development of sequenced genomes and massive SNP markers [1], which have recently been highly valuable to identify candidate genes controlling resistance. Fine mapping and sequencing…

[SDE] Environmental Sciences[SDV.GEN]Life Sciences [q-bio]/Genetics[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[SDV]Life Sciences [q-bio]fungifood and beverages[SDV.GEN] Life Sciences [q-bio]/Genetics[SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics[SDV.IDA] Life Sciences [q-bio]/Food engineering[SDV] Life Sciences [q-bio][SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics[SDE]Environmental Sciences[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering[SDV.BV] Life Sciences [q-bio]/Vegetal Biology
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Interoperability of Information Systems

2005

An information system is a multilevel system characterized by a “data” level, a “behavioral” level, and a “communication” level. The data level represents the data stored by the system. The behavioral level represents management and production processes carried out by the system. The processes can interact with the data level to extract, generate, and store data. The communication level relates to the network used to exchange data and activate processes between geographically distant users or machines.

Computer sciencebusiness.industryWS-I Basic ProfileInformation architectureInteroperabilitySemantic interoperabilityOntology (information science)computer.software_genreWorld Wide WebInformation technology architectureCross-domain interoperabilityWeb servicebusinesscomputer
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Associer biostimulants, SDP, systèmes d’imagerie et de pulvérisation au service de la santé du vignoble

2016

Prod?IPMGEAPSISPEEAINRAUBAGROSUPDOCT; Associer biostimulants, SDP, systèmes d’imagerie et de pulvérisation au service de la santé du vignoble

[SDV] Life Sciences [q-bio]SDP[ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]vignebiostimulant
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XML Integration and Toolkit for B2B Applications

2003

This paper presents a Web-based data integration methodology and tool framework, called X-TIME, for the development of business-to-business (B2B) design environments and applications. X-TIME provides a data model translator toolkit based on an extensible metamodel and XML. It allows the creation of adaptable semantics oriented metamodels to facilitate the design of wrappers or reconciliators (mediators) by taking into account several characteristics of interoperable information systems such as extensibility and composability. X-TIME defines a set of meta-types for representing meta-level semantic descriptors of data models found in the Web. The meta-types are organized in a generalization h…

Programming languageComputer sciencecomputer.internet_protocolcomputer.software_genreData modelingData modelHardware and ArchitectureComposabilitySemantic Web StackWeb serviceWS-PolicycomputerSoftwareXMLInformation SystemsData integrationJournal of Database Management
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Numerical study of an optical regenerator exploiting self-phase modulation and spectral offset filtering at 40 Gbit/s

2008

Topic: Nonlinear optics; International audience; In this work, we numerically investigate the performances of optical regenerators based on self-phase modulation and spectral offset filtering at 40 Gbit/s. We outline the different effects affecting the device performances and explain the choice of the optimal working power. The impact of the regenerator on the output signal is also analysed through a statistical approach. Both single- and double-stage configurations are investigated.

Offset (computer science)Optical communication02 engineering and technology01 natural sciences010309 optics020210 optoelectronics & photonicsOptics0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringPhysical and Theoretical ChemistrySelf-phase modulationPhysicsSignal processing[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]business.industryNumerical analysisNonlinear opticsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsRegenerative heat exchangerOptical regeneration[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic[ SPI.OPTI ] Engineering Sciences [physics]/Optics / PhotonicbusinessNon-linear optics in fibersSignal regeneration
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A fiber based limiter at 170 Gbit/s for all-optical regeneration

2009

International audience

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics][PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]ComputingMilieux_MISCELLANEOUS
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Solution de détection des maladies de la vigne par imagerie de drone. Diagnostic et réduction des pesticides à la parcelle

2016

ARTICLE A NE PAS DIFFUSEREAGEAPSIAgrosupCT1; Solution de détection des maladies de la vigne par imagerie de drone. Diagnostic et réduction des pesticides à la parcelle

réduction pesticides[SDV] Life Sciences [q-bio][ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]imagerie aériennediagnosticdétection des maladiesdronevigne
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Texture classificatication in a cloud computing environment for leaf roughness characterization in precision spraying applications

2010

International audience

[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH][INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]ComputingMilieux_MISCELLANEOUS
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DAMAV project for vineyard disease detection by UAV imagery

2016

AgrosupBAPGEAPSI; DAMAV project for vineyard disease detection by UAV imagery . CIRG-AgEng 2016, International Conférence on Agricultural Engineering, Automation, Environment and Food Safety

[SDV] Life Sciences [q-bio][ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]
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Building Web-Services from RDBMS

2002

International audience

[INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/Web[INFO]Computer Science [cs][INFO] Computer Science [cs]ComputingMilieux_MISCELLANEOUS
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Modeling Cooperation of Information Systems

2001

International audience

[INFO]Computer Science [cs][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO] Computer Science [cs][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS
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Caractérisation théorique du régénérateur 2R exploitant l'automodulation de phase dans une fibre optique

2007

National audience; Nous étudions théoriquement un régénérateur 2R exploitant l'automodulation de phase dans une fibre optique, suivie d'un filtrage spectral décalé en fréquence. Nous utilisons deux approches différentes mais complémentaires : l'approche « fonction de transfert » et l'approche « amélioration du facteur Q ». Nous mettons notamment en évidence l'impact de la gigue temporelle pour expliquer un désaccord entre les deux approches.

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics][PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]
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Vineyard leaf roughness characterization by computer vision and cloud computing technics

2010

International audience; In the context of vineyard leaf roughness analysis for precision spraying applications, this article deals with its characterization by computer vision and cloud computing techniques. The techniques merge feature extraction, linear or nonlinear dimensionality reduction techniques and several kinds of classification methods. Different combinations are processed and their performances compared in terms of classification error rate, in order to find the best association. However these combinations are hardly processed because of the lack of computing power and the prohibitive time consumption of the algorithms. To overcome these difficulties, we propose a solution: the …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SDE.ES] Environmental Sciences/Environmental and Society[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SDE.ES]Environmental Sciences/Environmental and Society[ SDE.ES ] Environmental Sciences/Environmental and Society[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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A Top-Down Approach Based on Business Patterns for Web Information Systems Design

2009

International audience; In this paper we develop an approach that is based on a top-down strategy to realization of transactional web services. Our approach highlights non-functional properties (e.g., traceability, security) which are essential to preserving an application's quality. It is implemented in three steps. The first step is a breakdown of the application in accordance with a related business involved. The goal of this step is to have sets of actors and activity patterns defined as an activity workflow that support the architecture of the application. The next step allows developing a mapping of the activity pattern on this architecture. The aim of this step is to identify the ris…

Eco-systemtransactional web service[INFO]Computer Science [cs]nun-functional properties[INFO] Computer Science [cs]
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A new tool for assessment of biostimulants effects on grapevine

2018

National audience; Despite an increasing interest for the use of biostimulants (BS) in agriculture, methods allowing a precise description of their effects on plants remain rather limited. In the IRIS+ FUI project, two major and highly different worldwide crops, wheat (annual, monocotyledon) and grapevine (perennial, broadleaf) were chosen to deepen our knowledge of such compounds and explore their potential additional interest. One objective was to develop a tool adapted to the screening and study of the impact of a series of BS on the development and physiology of these crops in controlled conditions. We managed to develop such a tool adapted to grapevine herbaceous cuttings. It allows a …

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesbiostimulantsphenotyping[SDV]Life Sciences [q-bio][SDE]Environmental Sciencesfood and beverages[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologygrapevine
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Feasibility of selecting optimal textural features to detect foliar symptoms of ‘flavescence doree’ grapevine disease

2018

[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 Biology
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High resolution imagery for phenotypic root traits detection

2016

AgrosupINRAEAGEAPSI; High resolution imagery for phenotypic root traits detection. CIRG-AgEng 2016, International Conférence on Agricultural Engineering, Automation, Environment and Food Safety

[SDV] Life Sciences [q-bio][ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]
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