Search results for "Image"

showing 10 items of 6818 documents

Towards the estimation of vole damage on grassland by aerial multispectral imaging

2017

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biology[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesComputingMilieux_MISCELLANEOUS
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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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Détection non supervisée des adventices par drone : résultats et limites

2019

Dans un cadre de diminution des produits phytosanitaires, l'agriculture de précision est une solution technique pour diminuer l'impact environnemental de l'agriculture sans transformer les systèmes de production actuels. La démocratisation des drones aériens pour l'agriculture permet leur utilisation afin de discriminer culture et adventices au sein de parcelles cultivées. Nous avons développé et testé des algorithmes non supervisés (ne nécessitant pas l’intervention d’un humain) combinant l'information spatiale et spectrale pour réaliser cette discrimination. Cette présentation sera l'occasion de revenir sur les résultats de ces algorithmes et de présenter également les limites rencontrées…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciences[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologytraitement d’images[SDV.BV] Life Sciences [q-bio]/Vegetal Biologydiscrimination culture/adventicesinformation spatiale et spectralealgorithme non supervisé
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Imagerie pour les maladies de la vigne

2013

La viticulture est confrontée à des problèmes majeurs dont la lutte contre les maladies cryptogamiques telles que l’oïdium ou la pourriture grise. Elle utilise alors majoritairement des produits phytosanitaires de synthèse susceptibles de poser des problèmes environnementaux et sanitaires, et de favoriser la sélection de souches de microorganismes pathogènes résistantes. Dans le cadre du plan Ecophyto 2018, la recherche de méthodes visant à diminuer, voire à remplacer, les fongicides de synthèse au vignoble, a pris toute sa place. Deux approches peuvent alors être conduites pour répondre à cet objectif : 1) la réduction du nombre de traitements et des doses appliquées et 2) le développement…

[SDV] Life Sciences [q-bio][SDE] Environmental SciencesdiseaseBotrytis cinereaimage analysis[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyimage acquisitiongrapevine
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A 3-D simulation with virtual stereo rig for centrifugal fertilizer spreading

2012

International audience; Stereovision can be used to characterize of the fertilizer centrifugal spreading process and to control the spreading fertilizer distribution pattern on the ground reference. Fertilizer grains, however, resemble each other and the grain images contain little information on texture. Therefore, the accuracy of stereo matching algorithms in literature cannot be used as a reference for stereo images of fertilizer grains. In order to evaluate stereo matching algorithms applied to images of grains a generator of synthetic stereo particle images is presented in this paper. The particle stereo image generator consists of two main parts: the particle 3D position generator and…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesfertilizer centrifugal spreader[SDV]Life Sciences [q-bio][SDE]Environmental SciencesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyGeneralLiterature_MISCELLANEOUSstereovisionComputingMethodologies_COMPUTERGRAPHICSimage processing
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Digital tools for a biomass prediction from a plant-growth model. Application to a weed control in wheat crop

2019

International audience; Weed control is essential for crop quality and yield. Usually, the main factors affectingdecision-making of farmers in weeding are based on the presence of certain weedvarieties and their density (plants/m2). However, the weed management at the scale ofthe crop cycle refers to other competition indicators, more reliable, such as plantbiomass or leaf area index (LAI). Classically, plant biomass measurements are obtainedby a destructive method of sampling, time consuming and it turns out to be unworkablein practice for farmers. This project proposes to study an innovative method of biomassevaluation which is based on the acquisition of plot images to determine the leaf…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesgrowth modelwheat[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyImageryWeedsBiomass[INFO.INFO-BT]Computer Science [cs]/Biotechnology
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Image analysis methods for assessment of H2O2 production and Plasmopara viticola development in grapevine leaves: application to the evaluation of re…

2014

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesimage analysisH2O2[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyplasmopara viticolaDowny mildewgrapevineresistance tests
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Phenotyping: Case study of legumes plants

2012

International audience; The activities of the GEAPSI group, belonging to the large research unit Agroecology, is devoted to the genetic improvement of legumes important for European agriculture, and focuses on the cultivated species pea (Pisum sativum) and the field bean (Vicia faba). These studies are supported by basic research on a model legume, Medicago truncatula, used for taking advantage of the extensive genomics information available. Some examples will first illustrate how the combination of analytical, non-destructive phenotypical measurements and modelling can improve our understanding of plant functioning, taking as case studies legumes plants. The presentation will then describ…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesimage analysisPlant Phenotyping Platform[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyabiotic contraintsbiotic contraintsplant adaptation
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Proxi-détection des adventices par imagerie aérienne

2014

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesimages multispectrales[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologydroneprotection des cultures
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L'utilisation des données de télédétection et des méthodes de deep learning pour traiter de problématiques autour des paysages agricoles (introductio…

2019

National audience

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesséries temporellesimages satellites[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyculturesComputingMilieux_MISCELLANEOUSoccupation du sol
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