Search results for " processing"

showing 10 items of 7549 documents

Texture, color and frequential proxy-detection image processing for crop characterization in a context of Precision Agriculture

2012

[SDV.SA]Life Sciences [q-bio]/Agricultural 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[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Aerial multispectral imagery for site specific weed management

2017

AGROSUPSPEEAGESTADCT1DOCT; In an agroecological context (French Law on the Future of Agriculture), the reduction of herbicide uses become a crucial issue. It requires developing new technologies allowing a better knowledge of the field. The company AIRINOV, specialized in use of Unmanned Aerial Vehicle (UAV) dedicated to precision agriculture wants to explore a new approach by UAV to localize weed infestation areas. This work aims to develop a method analyzing images acquired by UAV to detect and map weeds in a field. The study is carried out on crops widely grown in France and requiring weed control at a young state of the plant : maize, sunflower and sugar beet. With its on-board sensors …

[SDV] Life Sciences [q-bio][ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]UAVagro-ecologysite specific weed controlweedimage processing
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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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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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Novel bibliographic maps to guide research units

2014

National audience; Publication is a major issue for research evaluation. As a consequence research units need strategies to improve their publications. Bibliometry and cartography are new tools to study the publications of research teams. In particular bibliometry give an overall picture and good criteria to choose a strategy for publishing and to guide the priorities of research. Here we studied the publications of the INRA Agroécologie research unit, Dijon. This unit has 107 scientists and professors, equivalent 80 full-time positions for research, and published 125 original articles in 2012. We present several examples of maps and measurements obtained using Web of science, Excel, Sphinx…

[SDV] Life Sciences [q-bio][SDE] Environmental Sciencesstrategic toolsdata collection[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologycartographyinformation sciencebibliometricsinformation processingscientific production
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Prise en compte de la technologie dans la quantification des biomarqueurs

2016

International audience; Part de la variance technologique dans la quantification des biomarqueurs. Exemple en protéomique avec la technologie MALDI-TOF

[SDV] Life Sciences [q-bio][SDV.BIO]Life Sciences [q-bio]/Biotechnology[SDV]Life Sciences [q-bio]bioinformatics spectrum analysis signal processing mass spectrometry MALDI[SDV.BIO] Life Sciences [q-bio]/Biotechnology
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Multi-modal image fusion for small animal studies in in-line PET /3T MRI

2015

Congrès sous l’égide de la Société Française de Génie Biologique et Médical (SFGBM).; National audience; In the framework of small animal multi-modal imaging, the current progression of the IMAPPI project is illustrated by the design of an in-line PET/MRI prototype, coupled to a dedicated multi-resolution registration method allowing the robust fusion of data coming from both modalities. The first results show a good alignment of the data from tumor imaging at the level of the abdomen.

[SDV] Life Sciences [q-bio][SDV.IB] Life Sciences [q-bio]/BioengineeringNuclear ImagingImage Processing[SDV]Life Sciences [q-bio]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[SDV.IB]Life Sciences [q-bio]/Bioengineering[ SDV.IB ] Life Sciences [q-bio]/BioengineeringMagnetic Resonance Imaging
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Flavour release and perception

2012

Flavour perception is a complex combination of the olfactory, gustatory and trigeminal sensations perceived during eating. During this eating process, tastants must be dissolved into saliva to be transported to the taste bud receptor cell membranes and aroma compounds have to be released in the oral cavity then transferred to the nasal cavity to reach the olfactory receptors. This release highly depends on food composition and structure, on the molecular properties of the stimuli but also on physiological characteristics of individuals and mastication behaviour. However, interactions occur between texture, taste and aroma perception at different levels: physic-chemical interactions in the f…

[SDV] Life Sciences [q-bio]food oral processing[ SDV ] Life Sciences [q-bio]aroma[SDV]Life Sciences [q-bio]digestive oral and skin physiologyrelease
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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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