Search results for " application"

showing 10 items of 4902 documents

Plankton Tracker: A novel integrated system to investigate the dynamic sinking behavior in phytoplankton

2020

Abstract Phytoplankton sinking is an important property that can determine community composition, affecting nutrient and light absorption in the photic zone, and influencing biogeochemical cycling via material loss to the deep ocean. To date, the difficulty in exploring the sinking processes is partly due to methodological limitations in measuring phytoplankton sinking rate. However, in the last decade, works have illustrated various methods based on some non-invasive and low perturbing approaches (laser scanner, video-microscopy, fluorescence spectroscopy). In this study, we review the methods for sinking rate estimation and describe the Plankton Tracker, a novel integrated system to inves…

0106 biological sciencesBiogeochemical cycle010603 evolutionary biology01 natural sciencesDeep seaCoscinodiscus sp.PhytoplanktonPhotic zoneVideo-microscopyEcology Evolution Behavior and SystematicsIndividual-based tracking methodEcologybiology010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingDinoflagellatePlanktonbiology.organism_classificationComputer Science ApplicationsOceanographyComputational Theory and MathematicsModeling and SimulationPhytoplanktonSinking behaviorTrajectoryEnvironmental science
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A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

2018

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then a…

0106 biological sciencesFOS: Computer and information sciences010504 meteorology & atmospheric sciencesSpecific leaf areaClimateBos- en LandschapsecologieSoil ScienceFOS: Physical sciencesApplied Physics (physics.app-ph)010603 evolutionary biology01 natural sciencesStatistics - ApplicationsGoodness of fitAbundance (ecology)Machine learningForest and Landscape EcologyApplications (stat.AP)Computers in Earth SciencesPlant ecologyVegetatie0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPlant traitsVegetationData stream miningClimate; Landsat; Machine learning; MODIS; Plant ecology; Plant traits; Random forests; Remote sensing; Soil Science; Geology; Computers in Earth SciencesGlobal MapRegression analysisGeologyPhysics - Applied Physics15. Life on landRandom forestsRemote sensingPE&RCRandom forestMODISTraitVegetatie Bos- en LandschapsecologieVegetation Forest and Landscape EcologyLandsat
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Developing an orientation and cutting point determination algorithm for a trout fish processing system using machine vision

2019

Abstract Fish processing in small and medium fish supplying centers requires an intelligent system to operate on different sizes. Therefore, an image processing algorithm was developed to extract the proper head and belly cutting points according to the trout dimensions. The algorithm detects the fish orientation and location of pectoral, anal, pelvic, and caudal fins. In this study, each of the trout images was divided into slices along its length in order to segment the fins and extract cutting points. The channel ‘B’ of RGB color space was considered in both initial segmentation and fin detection stages among the examined channels of RGB, HSV, and L*a*b* color spaces. The back-belly and …

0106 biological sciencesFinbiologyOrientation (computer vision)ForestryImage processing04 agricultural and veterinary sciencesHSL and HSVHorticultureColor spacebiology.organism_classification01 natural sciencesComputer Science ApplicationsRGB color spaceTrout040103 agronomy & agriculture0401 agriculture forestry and fisheriesRGB color modelAgronomy and Crop ScienceAlgorithm010606 plant biology & botanyMathematicsComputers and Electronics in Agriculture
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Identifying small pelagic Mediterranean fish schools from acoustic and environmental data using optimized artificial neural networks

2019

Abstract The Common Fisheries Policy of the European Union aims to exploit fish stocks at a level of Maximum Sustainable Yield by 2020 at the latest. At the Mediterranean level, the General Fisheries Commission for the Mediterranean (GFCM) has highlighted the importance of reversing the observed declining trend of fish stocks. In this complex context, it is important to obtain reliable biomass estimates to support scientifically sound advice for sustainable management of marine resources. This paper presents a machine learning methodology for the classification of pelagic species schools from acoustic and environmental data. In particular, the methodology was tuned for the recognition of an…

0106 biological sciencesMarine conservationMaximum sustainable yieldFish stockFish school010603 evolutionary biology01 natural sciencesAcoustic surveyEnvironmental dataAnchovymedia_common.cataloged_instanceEuropean unionEcology Evolution Behavior and Systematicsmedia_commonEcologybiologySettore INF/01 - Informaticabusiness.industry010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingEnvironmental resource managementPelagic zonebiology.organism_classificationClassificationComputer Science ApplicationsGeographyComputational Theory and MathematicsFishing industryModeling and SimulationbusinessNeural networks
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Methodology for determining foliar penetration of herbicides with reference to oil-based adjuvants

1994

Oils are used extensively in pesticide formulation and in pesticide application as spray adjuvants. They improve the biological efficacy of several foliage-applied herbicides without impairing their selectivity. Beneficial effects were first observed with atrazine in maize (Zea mays; Jones and Anderson 1968; Nalewaja 1968) and with phenmedipham in sugar beet (Beta vulgaris: Miller and Nalewaja 1973). More recently, oils have met with success as spray adjuvants for graminicides (Buhler and Burnside 1984; Nalewaja 1986; Barrentine and McWorther 1988) and for bentazone (Doran and Andersen 1975; Nalewaja et al. 1975). Since they allow the use of reduced herbicide application rates, oils also im…

0106 biological sciencesMethyl oleatebiologyChemistry[SDV]Life Sciences [q-bio]Pesticide application04 agricultural and veterinary sciencesbiology.organism_classification01 natural sciencesZea mays[SDV] Life Sciences [q-bio]chemistry.chemical_compoundPesticide formulationAgronomyAgricultural spray adjuvant040103 agronomy & agriculture0401 agriculture forestry and fisheriesSugar beetAtrazineBeneficial effectsMETHODOLOGIE010606 plant biology & botany
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Poplar Biochar as an Alternative Substrate for Curly Endive Cultivated in a Soilless System

2020

Imminent necessity for eco-friendly and low-cost substitutes to peat is a defiance in the soilless plant cultivation systems. Wood biochar could entirely or partly substitute peat as a plant growing constituent to produce vegetables. Nevertheless, knowledge concerning potential plant performance of leafy green vegetables grown on wood biochar is restricted. The present study assessed the main physicochemical traits of various growing media constituted by decreasing the content of peat and by increasing the percentages of poplar wood biochar. Yield, nutritional and functional properties of curly endive plants cultivated in a protected environment were also tested. Biochar was pyrolyzed from …

0106 biological sciencesPeatpyrolysis temperatureSettore AGR/13 - Chimica AgrariaSettore AGR/04 - Orticoltura E Floricolturalcsh:Technologyquality traits01 natural scienceslcsh:Chemistrysoilless cultivationsubstrate mixtureBiocharGeneral Materials ScienceDry matterCichorium endivia L. var. crispumParticle densitylcsh:QH301-705.5InstrumentationLeafysubstrate mixturesFluid Flow and Transfer Processespoplar wood biochar; pyrolysis temperature; Cichorium endivia L. var. crispum; soilless cultivation; substrate mixtures; quality traitslcsh:TChemistryProcess Chemistry and TechnologyGeneral Engineeringpoplar wood biochar04 agricultural and veterinary sciencesAscorbic acidBulk densitylcsh:QC1-999Computer Science ApplicationsHorticulture<i>cichorium endivia</i> l. var. <i>crispum</i>lcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040040103 agronomy & agriculture0401 agriculture forestry and fisherieslcsh:Engineering (General). Civil engineering (General)Pyrolysislcsh:Physics010606 plant biology & botanyApplied Sciences
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Exploring the development of scientific research on Marine Protected Areas: From conservation to global ocean sustainability

2021

Abstract Marine Protected Areas (MPAs) are playing a central role in the achievement of ocean sustainability and, since 2000, their global coverage has increased over ten times. The success of MPAs, and therefore the delivery of their potential outcomes for human well-being and global sustainability, requires multi-disciplinary, holistic, and comprehensive approaches for its achievement. In this study, the global scientific literature on MPAs was quantitatively reviewed through bibliometrics approaches, investigating patterns and trends in its development over time. In particular, bibliometric network and citation burst analyses of keywords were performed using VOSviewer and CiteSpace softw…

0106 biological sciencesSettore BIO/07 - EcologiaSociology of scientific knowledgeSocial-ecological systemCiteSpace softwareSustainability studiesScientific literatureBibliometrics010603 evolutionary biology01 natural sciencesBibliometric analysisNature conservationEnvironmental planningEcology Evolution Behavior and SystematicsCitation burst analysisEcologyHuman DimensionSocial-ecological systems010604 marine biology & hydrobiologyApplied MathematicsEcological ModelingMarine spatial planningComputer Science ApplicationsGeographyComputational Theory and MathematicsModeling and SimulationSustainabilityVOSviewer softwareMarine protected areaBibliometric analysiBibliometric analysis; Citation burst analysis; CiteSpace software; Nature conservation; Social-ecological systems; VOSviewer software
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A global occurrence database of the Atlantic blue crab Callinectes sapidus

2021

The Atlantic blue crab Callinectes sapidus is a portunid native to the western Atlantic, from New England to Uruguay. The species was introduced in Europe in 1901 where it has become invasive; additionally, a significant northward expansion has been emphasized in its native range. Here we present a harmonized global compilation of C. sapidus occurrences from native and non-native distribution ranges derived from online databases (GBIF, BISON, OBIS, and iNaturalist) as well as from unpublished and published sources. The dataset consists of 40,388 geo-referenced occurrences, 39,824 from native and 564 from non-native ranges, recorded in 53 countries. The implementation of quality controls imp…

0106 biological sciencesStatistics and ProbabilityData DescriptorCallinectesRange (biology)BrachyuraScienceLibrary and Information Sciencescomputer.software_genre010603 evolutionary biology01 natural sciencesEducationNew englandAnimalsMacroecologyInvasive speciesDatabasebiologyAnimal010604 marine biology & hydrobiologyQinvasive species blue crab global occurrence databaseBiodiversitybiology.organism_classificationComputer Science ApplicationsGeographyBiogeographyStatistics Probability and UncertaintyIntroduced SpeciescomputerAnimal DistributionInformation SystemsScientific Data
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Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests

2021

We propose a hierarchical log Gaussian Cox process (LGCP) for point patterns, where a set of points x affects another set of points y but not vice versa. We use the model to investigate the effect of large trees to the locations of seedlings. In the model, every point in x has a parametric influence kernel or signal, which together form an influence field. Conditionally on the parameters, the influence field acts as a spatial covariate in the intensity of the model, and the intensity itself is a non-linear function of the parameters. Points outside the observation window may affect the influence field inside the window. We propose an edge correction to account for this missing data. The par…

0106 biological sciencesStatistics and ProbabilityFOS: Computer and information sciences62F15 (Primary) 62M30 60G55 (Secondary)MCMCGaussianBayesian inferenceMarkovin ketjutStatistics - Applications010603 evolutionary biology01 natural sciencesCox processMethodology (stat.ME)010104 statistics & probabilitysymbols.namesakeregeneraatio (biologia)Applied mathematicsApplications (stat.AP)0101 mathematicsLaplace approximationStatistics - MethodologyGeneral Environmental ScienceParametric statisticsMathematicsspatial random effectsbayesilainen menetelmäMarkov chain Monte CarloFunction (mathematics)15. Life on landMissing dataMonte Carlo -menetelmätcompetition kernelLaplace's methodKernel (statistics)symbolstree regenerationpuustometsänhoitomatemaattiset mallitStatistics Probability and Uncertainty
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Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium

2010

Abstract Background Synechocystis sp. PCC6803 is a cyanobacterium considered as a candidate photo-biological production platform - an attractive cell factory capable of using CO2 and light as carbon and energy source, respectively. In order to enable efficient use of metabolic potential of Synechocystis sp. PCC6803, it is of importance to develop tools for uncovering stoichiometric and regulatory principles in the Synechocystis metabolic network. Results We report the most comprehensive metabolic model of Synechocystis sp. PCC6803 available, iSyn669, which includes 882 reactions, associated with 669 genes, and 790 metabolites. The model includes a detailed biomass equation which encompasses…

0106 biological sciencesSystems biologyIn silicoMetabolic networkComputational biologyBiologyModels Biological01 natural sciencesMetabolic engineeringGene Knockout Techniques03 medical and health sciencesStructural BiologyModelling and Simulation010608 biotechnologyBotanyBiomassPhotosynthesislcsh:QH301-705.5Molecular Biology030304 developmental biologyAutotrophic Processes0303 health sciencesGene Expression ProfilingApplied MathematicsSynechocystisSynechocystisGenomicsDarknessbiology.organism_classificationComputer Science ApplicationsFlux balance analysislcsh:Biology (General)Genes BacterialAutotrophic ProcessesModeling and SimulationEnergy sourceGenome BacterialResearch ArticleBMC Systems Biology
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