Search results for "computing"

showing 10 items of 25279 documents

Managing arbuscular mycorrhizal fungi in cropping systems

2005

Market globalization, demographic pressure, and environmental degradation have led us to reconsider many of our current agricultural systems. The heavy use of chemical inputs, including fertilizers and pesticides, has resulted in pollution, decreased biodiversity in intensively-farmed regions, degradation of fragile agro-ecosystems, and prohibitive costs for many farmers. Low input sustainable cropping systems should replace conventional agriculture, but this requires a more comprehensive understanding of the biological interactions within agro-ecosystems. Mycorrhizal fungi appear to be the most important telluric organisms to consider. Mycorrhizae, which result from a symbiosis between th…

2. Zero hunger0106 biological sciencesbusiness.industry04 agricultural and veterinary sciencesPlant Science15. Life on landHorticultureBiologyArbuscular mycorrhizal fungi01 natural sciencesGlobalizationAgronomy13. Climate actionAgriculture040103 agronomy & agriculture[SDV.BV]Life Sciences [q-bio]/Vegetal Biology0401 agriculture forestry and fisheries[SDV.BV] Life Sciences [q-bio]/Vegetal BiologybusinessAgronomy and Crop ScienceCroppingEnvironmental degradationComputingMilieux_MISCELLANEOUS010606 plant biology & botany
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16S rDNA analysis for characterization of denitrifying bacteria isolated from three agricultural soils

2000

Bacteria capable of denitrification are spread among phylogenetically diverse groups. In the present investigation, molecular methods (amplified ribosomal DNA restriction analysis (ARDRA) and partial 16S rDNA gene sequencing) were used to determine the genetic diversity of culturable denitrifying soil bacteria. The purpose of this work was to study the microbial density and diversity of denitrifying communities isolated from two luvisols and a rendosol. The denitrifying bacterial density was significantly higher in the two luvisols (3x10(6) and 4x10(6) bacteria g(-1) dry soil) than in the rendosol (4x10(5) bacteria g(-1) dry soil). Denitrifying isolates from soils were grouped according to …

2. Zero hunger0303 health sciencesEcologybiology030306 microbiology16S RDNAbiology.organism_classificationSoil type16S ribosomal RNAApplied Microbiology and BiotechnologyMicrobiologyAmplified Ribosomal DNA Restriction Analysis03 medical and health sciencesDenitrifying bacteriaPhylogenetic diversity[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyMicrobial population biologyBotanyRibosomal DNA[SDV.MP] Life Sciences [q-bio]/Microbiology and ParasitologyBacteriaComputingMilieux_MISCELLANEOUS030304 developmental biology
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Statistical analysis of sensory profiling data. Graphs for presenting results (PCA and ANOVA)

2000

Abstract A principal component analysis is performed to analyse the matrix of median values, with 16 varieties in rows, and all descriptors in columns. Only texture descriptors contribute to the definition of the main axes. Six varieties are identified that score high on mealiness and low on moisture, the 10 other varieties are ordered according to a mashable axis which involves texture descriptors. Next we exclude texture descriptors since the main characteristics are already found, and mealy varieties since they are not suitable for steamed potatoes. A mixed linear model (ANOVA) with random subject effects is then used for each descriptor. Flavour and taste differences are found among the…

2. Zero hunger0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsFlavour04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysis03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringPrincipal component analysisMixed linear modelStatisticsStatistical analysisAnalysis of varianceComputingMilieux_MISCELLANEOUSFood ScienceMathematicsFood Quality and Preference
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Cheese flavour : instrumental techniques

2004

This chapter discusses instrumental techniques to analyze cheese flavor. It focuses on recent advances made to study and identify the taste-active components present in the water-soluble fraction of cheese. A general procedure for the preparation of fractions involves an extraction of grated cheese by water followed by a fractionation scheme, generally adapted from the fractionation protocol used to isolate cheese nitrogen fractions in the study of proteolysis in cheese during ripening. However, as sub-fractions have to be evaluated sensorially to assess their relative sensory impact and try to link it to their chemical composition, a suitable eluent has to be used in the chromatographic st…

2. Zero hungerChromatographyChemistry[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process EngineeringCheese Flavor010401 analytical chemistryFlavour04 agricultural and veterinary sciencesFractionation[SDV.IDA] Life Sciences [q-bio]/Food engineeringTandem mass spectrometryMass spectrometry040401 food science01 natural sciencesHigh-performance liquid chromatography0104 chemical sciencesGel permeation chromatography0404 agricultural biotechnologyColumn chromatography[SDV.IDA]Life Sciences [q-bio]/Food engineering[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringComputingMilieux_MISCELLANEOUS
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Screening individual ability to perform descriptive analysis of food products : basic statements and application to a camembert cheese descriptive pa…

1995

A battery of sensory tests is proposed to select potential descriptive panelists. This set of tests is flavor specific. Several abilities are examined: odor and taste recognition, odor memory, discrimination and descriptive capacities. A detailed example of such a battery to select a Camembert cheese descriptive panel is given. The objectives of each test are discussed. Stimuli are chosen to be consistent with the sensory properties which can be perceived in cheese. Score distributions demonstrate the discrimination among candidates for each test. Globally, results show the difficulty to find 20 panelists amongst about a hundred with good scores on each test. The panel leader has to choose …

2. Zero hungerCommunicationDescriptive statisticsbusiness.industry[SDV]Life Sciences [q-bio]05 social sciences04 agricultural and veterinary sciencesCamembert cheese040401 food science050105 experimental psychologySensory SystemsTest (assessment)[SDV] Life Sciences [q-bio]0404 agricultural biotechnologySensory testsFood productsStatistics0501 psychology and cognitive sciencesMISE AU POINTSet (psychology)PsychologybusinessComputingMilieux_MISCELLANEOUSFood Science
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Volatile components of dry-cured ham

1991

The volatile components of dry-cured ham were isolated by vacuum distillation and analyzed by gas chromatography-mass spectrometry. The structures of 76 molecules were identified by mass spectrometry, cochromatography, or measured Kovats indices. The compounds identified may come from the catabolism of the main constituent parts of the meat (glucids, lipids and protids) during the curing of the hams, from the pig feed, or from technological processes. The volatile compounds extracted from 50 g of ham according to the technique described correspond to a chromatographical surface equivalent to 0.12 mg of the dodecane internal standard, or approximately 2.4 ppm of the weight of the sample. Fla…

2. Zero hungerCuring (food preservation)ChromatographyDodecaneVacuum distillation0402 animal and dairy science04 agricultural and veterinary sciencesGeneral Chemistry[SDV.IDA] Life Sciences [q-bio]/Food engineeringMass spectrometry040401 food science040201 dairy & animal sciencechemistry.chemical_compound0404 agricultural biotechnologychemistryOdor[SDV.IDA]Life Sciences [q-bio]/Food engineeringGas chromatographyGeneral Agricultural and Biological SciencesDry curedFlavorComputingMilieux_MISCELLANEOUS
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De la maison au " village" . Les origines de la morphologie de l'habitat dispersé dans les montagnes de la Savoie du nord

2002

Dans les hautes vallées savoyardes, le peuplement d'avant l'invasion touristique était caractérisé par une implantation en hameaux dispersés à travers le territoire communal. Dispersion relative en Savoie du sud (Maurienne, Tarentaise, Combe de Savoie) où les hameaux étaient fédérés par un « chef-lieu » qui était un véritable bourg ; dispersion fréquemment absolue en Savoie du nord (Faucigny, Chablais), où le chef-lieu n'avait souvent pas plus d'importance que les écarts. C'est aux massifs mo...

2. Zero hungerHistoryvillageGeography[ SHS.HIST ] Humanities and Social Sciences/Historyterroirhistoire ruralehabitatSavoieJFSFles formes de l'habitat : structures et dynamiques du peuplement dans les pays d'habitat disperséhistoire sociale[SHS.HIST] Humanities and Social Sciences/Historymaisonlogement ruralSOC026020[SHS.HIST]Humanities and Social Sciences/HistoryComputingMilieux_MISCELLANEOUSAlpes
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Real-time Multispectral Image Processing and Registration on 3D Point Cloud for Vineyard Analysis

2021

International audience; Nowadays, precision agriculture and precision viticulture are under strong development. In order to accomplish effective actions, robots require robust perception of the culture and the surrounding environment. Computer vision systems have to identify plant parts (branches, stems, leaves, flowers, fruits, vegetables, etc.) and their respective health status. Moreover, they must merge various plant information, to measure agronomic indices, to classify them and finally to extract data to enable the agriculturist or expert to make a relevant decision. We propose a real-time method to acquire, process and register multispectral images fused to 3D. The sensors system, co…

2. Zero hungerImage Registrationbusiness.industryComputer scienceMultispectral imagePoint cloudProcess (computing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration3D Point Cloud[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]15. Life on landAgricultural RoboticsField (computer science)Precision viticulturePrecision ViticultureRobotMultispectral ImagingComputer visionArtificial intelligencePrecision agriculturebusiness
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Microclimat, eau et production

1990

It is generally known that the whole of climatic factors affects directly the principal biological functions and the processes influencing crop yield. However, the control of these factors remains very difficult. Research is carried out adapting different crops to the average daily climatic characteristics and to their seasonal evolution instead of modifying the crops genetically and physiologically. Since all times the control of the factor water, not from rainfall but from irrigation, gives possibilities to modify directly the characteristics of the microclimate in the plant canopy.

2. Zero hungerIrrigation010504 meteorology & atmospheric sciences010505 oceanographyCrop yieldFACTEUR CLIMAT[SDV]Life Sciences [q-bio]fungiMicroclimatefood and beverages15. Life on land01 natural sciences[SDV] Life Sciences [q-bio]AgronomyEnvironmental sciencePlant canopyComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences
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Évaluation de l'efficacité externe de la formation des agriculteurs

1997

Alain Mingat und Nelly Stephan, Bewertung der externen Effektivität landwirtschaftlicher Ausbildung. In diesem Beitrag soill die externe Effektivität der Ausbildung der Landwirte bewertet werden. Dabei soll festgestellt werden, ob besser ausgebildete Landwirte effizienter als weniger gut ausgebildete sind. Die durchgeführte Untersuchung erlaubte die Wirksamkeit der Ausbildung in zwei Phasen zu untersuchen : zum Zeitpunkt der Niederlassung in einem landwirtschaftlichen Betrieb, wo der Landwirt die Ausrichtung seines Betriebs festlegt, und während dieser Niederlassung, urn die Fähigkeit zur Führung dieses Betriebs zu bewerten. Auch wenn die Anhebung des technischen Ausbildungsniveaus ein wich…

2. Zero hungerOrganizational Behavior and Human Resource ManagementSociology and Political ScienceFormation des agriculteurs[SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/EducationÉvaluationEnseignement agricoleEnseignement secondaireFranceEfficacité externeComputingMilieux_MISCELLANEOUS
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