Search results for "Precision viticulture"

showing 8 items of 8 documents

« On-the-go » multispectral imaging system to characterize the development of vineyard foliage

2015

International audience; In Precision Viticulture, multispectral imaging systems are currently used in remote sensing for vineyard vigor characterization but few are employed in proximal sensing. This work presents the potential of a proximal multispectral imaging system mounted on a track-laying tractor equipped with a Greenseeker RT-100 to provide an NDVI index. The camera acquired visible and near-infrared images which were calibrated in reflectance. Vegetation indices were computed and compared to Greenseeker data. From two of the resulting datasets, a spatio-temporal study of foliage description through both optical systems is presented. This first study assessed the proximal imagery re…

0106 biological sciences010104 statistics & probability[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingNDVImultispectral imagingfoliage characterizationprecision viticulture15. Life on land0101 mathematics01 natural sciencesin-field acquisition010606 plant biology & botany
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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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Use of Sentinel-2 Satellite for Spatially Variable Rate Fertiliser Management in a Sicilian Vineyard

2022

Satellites can be used for producing maps of within-field crop and soil parameters and, consequentially, spatially variable rate crop input application maps. The plant vegetative vigour index (i.e., Normalised Difference Vegetation Index—NDVI) and the leaf water content index (i.e., Normalised Difference Water Index—NDWI) maps were used to study—through both time and space—the phenological phases of two plots, with Syrah and Nero d’Avola grapevine varieties, in a Sicilian vineyard farm, located in Naro (Agrigento, Sicily, Italy). The aim of this work is to produce spatially variable rate nitrogen fertiliser maps to be applied in the two vineyard plots under stu…

Environmental effects of industries and plantsRenewable Energy Sustainability and the Environmenttemporal variabilityGeography Planning and DevelopmentSettore AGR/09 - Meccanica AgrariaTJ807-830Management Monitoring Policy and LawTD194-195Renewable energy sourcesEnvironmental sciencesremote sensingprecision viticulture; remote sensing; temporal variability; spatial variability; nitrogen spatially variable rate fertilisation; sustainable vineyard managementprecision viticulturespatial variabilityGE1-350sustainable vineyard managementnitrogen spatially variable rate fertilisationSustainability; Volume 14; Issue 3; Pages: 1688
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Using the ARP-03 for high-resolution mapping of calcic horizons

2013

A b s t r a c t. The aim of this work is to present a fast and cheap method for high-resolution mapping of calcic horizons in vineyards based on geoelectrical proximal sensing. The study area, 45 ha located in southern Sicily (Italy), was characterized by an old, partially dismantled marine terrace and soils with a calcic horizon at different depths. The geoelectrical investigation consisted of a survey of the soil electrical resistivity recorded with the Automatic Resistivity Profiling-03 sensor. The electrical resistivity values at three pseudo-depths, 0-50, 0-100 and 0-170 cm, were spatialized by means of ordinary kriging. A principal component analysis of the three electrical resistivit…

Fluid Flow and Transfer ProcessesHorizon (archaeology)geophysicsBoreholeSoil ScienceSampling (statistics)soil conservationSoil scienceMediterraneanirrigationNormalized Difference Vegetation IndexSettore AGR/14 - PedologiaKrigingElectrical resistivity and conductivityPrecision viticultureSoil waterprecision viticultureprecision viticulture; soil conservation; irrigation; Mediterranean; geophysicsGeneral Agricultural and Biological SciencesGeologyWater Science and TechnologyInternational Agrophysics
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On the relationship between some production parameters and a vegetation index in viticulture

2013

The use and timing of many agronomical practices such as the scheduling of irrigation and harvesting are dependent on accurate vineyard sampling of qualitative and productive parameters. Crop forecasting also depends on the representativeness of vineyard samples during the whole phenological period. This manuscript summarizes the last two years of precision viticulture in Sicily (Italy); agronomic campaigns were carried out in 2012 and 2013 within the "Tenute Rapitalà" and "Donnafugata" farms. Normalized Difference Vegetation Index derived from satellite images (RapidEye) acquired at berry set, pre-veraison and ripening phenological stages (occurred at June, July and August respectively) ha…

HydrologyIrrigationPhenologySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaForestryVineyardNormalized Difference Vegetation IndexSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeGeographyVegetation indexPrecision viticultureSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliCultivarViticultureAnthocyanin contentPredictive modellingSugar contentSettore ICAR/06 - Topografia E CartografiaPrecision viticulture
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Assessment of vineyard vigour and yield spatio-temporal variability based on UAV high resolution multispectral images

2023

Accurate, timely assessment of the vineyard on a field scale is essential for successful grape yield and quality. Remote sensing can be an effective and useful monitoring tool, as data from sensors on board Unmanned Aerial Vehicles (UAV) can measure vegetative and reproductive growth and thus directly or indirectly detect variability. Through the images obtained from UAV, the Vegetation Indices (VIs) can be calculated and compared with various agronomic characteristics of the vineyard. The objective of this study was to evaluate the multispectral response of the vineyard in three specific phenological phases and to analyse the spatial distribution of vegetative vigour. A multirotor UAV equi…

Shoot pruning weightVegetation indexSettore AGR/09 - Meccanica AgrariaPrecision viticulture
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: J. Sci. Food Agric.

2017

Background: The measurement of carbon isotopic discrimination in grape sugars at harvest (δ13 C) is an integrated assessment of water status during ripening. It is an efficient alternative to assess variability in the field and discriminate between management zones in precision viticulture, but further work is needed to completely understand the signal.; Results: This work, spanning over 3 years, performed in a hillslope toposequence in Burgundy, delineates the relationships between main soil properties (gravel amount, slope, texture) and the grapevine water status assessed by δ13 C. The highest δ13 C, indicating most severe water deficit, was recorded in gravelly soils on steep slopes. The…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences0106 biological sciencesPropriété du solLeaf waterDisponibilité hydrique01 natural scienceswater stressDiscrimination isotopique du carbone[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry[SDV.IDA]Life Sciences [q-bio]/Food engineeringBotanyBourgogne[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVigneSoil propertiesSlop[ SDV.SA ] Life Sciences [q-bio]/Agricultural sciencesTerroir2. Zero hungerViticultureNutrition and Dieteticsterroir[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringRipening04 agricultural and veterinary sciences15. Life on land[ SDU.STU.GC ] Sciences of the Universe [physics]/Earth Sciences/Geochemistrycarbon isotopic discriminationHorticultureVitis viniferaPrecision viticultureSoil waterslope040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceComposition (visual arts)ViticultureAgronomy and Crop Science010606 plant biology & botanyFood ScienceBiotechnologyJournal of the Science of Food and Agriculture
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"On-the-go" multispectral imaging system embedded on a track laying tractor to characterize the vine foliage

2015

Mutispectral imaging systems are widely used in remote sensing for Precision Viticulture. In this work, this technique was applied in the proximal sensing context to characterize vine foliage. A mobile terrestrial experimental system is presented, composed of a GPS receiver, a multi-spectral camera acquiring visible and near infrared images, and a Greenseeker RT-100 which measures the Normalized Difference Vegetative Index (NDVI). This optical system observes vine foliage in the trellis plan, in natural sunlight. The experimental field is planted with Chardonnay, Pinot Noir and Meunier cultivars in a latin squared pattern. In 2013, six datasets were acquired at various phenological stages.S…

État sanitaireSanitary stateNDVIVine foliageGreenseekerFeuillageViticulture de précisionIn-field phenotypingGrapes areaMulti-spectral imaging systemPhénotypage au champImagerie multi-spectraleZone des grappesGrowing follow-upProxidétectionProximal sensingSuivi de croissancePrecision viticulture[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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