Zobrazeno 1 - 10 of 20 pro vyhledávání: '"Ruggiero Quarto"'
1
Akademický článek
Semi-Automatic Method for Early Detection of Xylella fastidiosa in Olive Trees Using UAV Multispectral Imagery and Geostatistical-Discriminant Analysis
Autor: Annamaria Castrignanò, Antonella Belmonte, Ilaria Antelmi, Ruggiero Quarto, Francesco Quarto, Sameh Shaddad, Valentina Sion, Maria Rita Muolo, Nicola A. Ranieri, Giovanni Gadaleta, Edoardo Bartoccetti, Carmela Riefolo, Sergio Ruggieri, Franco Nigro
Publikováno v: Remote Sensing, Vol 13, Iss 1, p 14 (2020)
Xylella fastidiosa subsp. pauca (Xfp) is one of the most dangerous plant pathogens in the world. Identified in 2013 in olive trees in south–eastern Italy, it is spreading to the Mediterranean countries. The bacterium is transmitted by insects that
Externí odkaz: https://doaj.org/article/ca7c85717a3f48a48a93533ffd6f8511
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2
Akademický článek
Impact of Data Processing and Antenna Frequency on Spatial Structure Modelling of GPR Data
Autor: Daniela De Benedetto, Ruggiero Quarto, Annamaria Castrignanò, Domenico A. Palumbo
Publikováno v: Sensors, Vol 15, Iss 7, Pp 16430-16447 (2015)
Over the last few years high-resolution geophysical techniques, in particular ground-penetrating radar (GPR), have been used in agricultural applications for assessing soil water content variation in a non-invasive way. However, the wide use of GPR i
Externí odkaz: https://doaj.org/article/7d42895537dd4b589b441f03b6ea379e
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3
Akademický článek
A Combined Approach of Sensor Data Fusion and Multivariate Geostatistics for Delineation of Homogeneous Zones in an Agricultural Field
Autor: Annamaria Castrignanò, Gabriele Buttafuoco, Ruggiero Quarto, Carolina Vitti, Giuliano Langella, Fabio Terribile, Accursio Venezia
Publikováno v: Sensors, Vol 17, Iss 12, p 2794 (2017)
To assess spatial variability at the very fine scale required by Precision Agriculture, different proximal and remote sensors have been used. They provide large amounts and different types of data which need to be combined. An integrated approach, us
Externí odkaz: https://doaj.org/article/54e4ede1fea5483181913a5356112808
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5
Taking into account change of support when merging heterogeneous spatial data for field partition
Autor: A. Venezia, F. Quarto, Massimo Conforti, Annamaria Castrignanò, Carolina Vitti, Ruggiero Quarto, Gabriele Buttafuoco
Publikováno v: Precision agriculture
22 (2021): 586–607. doi:10.1007/s11119-020-09781-9
info:cnr-pdr/source/autori:G. Buttafuoco, R. Quarto, F. Quarto, M. Conforti, A. Venezia, C. Vitti, A. Castrignanò/titolo:Taking into account change of support when merging heterogeneous spatial data for field partition/doi:10.1007%2Fs11119-020-09781-9/rivista:Precision agriculture (Print)/anno:2021/pagina_da:586/pagina_a:607/intervallo_pagine:586–607/volume:22
The paper describes a geostatistical approach for combining multi-source data with different support for field delineation into homogeneous soil zones. It takes into account change of support explicitly given the critical influence of spatial resolut
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::263bff5c3c7cca8b5bad569087e4107a
https://link.springer.com/article/10.1007/s11119-020-09781-9
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6
Evidence of cannibalism during long-term biofilm-antimicrobials interaction
Autor: Giada Caniglia, Maria Chiara Sportelli, Antonio Valentini, Boris Mizaikoff, Holger Bart, Rosaria Anna Picca, Ruggiero Quarto, Christine Kranz, Nicola Cioffi
Biofilms are considered a major cause of serious health issues in human medicine and food industry, due to their resistance against harsh conditions and pharmacological treatment [1]. Biofilms are defined as three-dimensional structures encasing bact
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fedd86bd974797a8de2fa2fd8fb5db52
https://doi.org/10.5194/biofilms9-144
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7
A geostatistical fusion approach using UAV data for probabilistic estimation of Xylella fastidiosa subsp. pauca infection in olive trees
Autor: Ruggiero Quarto, A. Castrignanò, Nicola A. Ranieri, Sameh M. Shaddad, Edoardo Bartoccetti, Giovanni Gadaleta, Maria Rita Muolo, Franco Nigro, Francesco Quarto, V. Sion, Antonella Belmonte, I. Antelmi, Carmela Riefolo, Sergio Ruggieri
Publikováno v: Science of the total environment 752 (2021). doi:10.1016/j.scitotenv.2020.141814
info:cnr-pdr/source/autori:Castrignano, Annamaria; Belmonte, Antonella; Antelmi, Ilaria; Quarto, Ruggiero; Quarto, Francesco; Shaddad, Sameh; Sion, Valentina; Muolo, Maria Rita; Ranieri, Nicola A.; Gadaleta, Giovanni; Bartoccetti, Edoardo; Riefolo, Carmela; Ruggieri, Sergio; Nigro, Franco/titolo:A geostatistical fusion approach using UAV data for probabilistic estimation of Xylella fastidiosa subsp. pauca infection in olive trees/doi:10.1016%2Fj.scitotenv.2020.141814/rivista:Science of the total environment/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:752
Xylella fastidiosa is one of the most destructive plant pathogenic bacteria worldwide, affecting more than 500 plant species. In Apulia region (southeastern Italy), X. fastidiosa subsp. pauca (Xfp) is responsible for a severe disease, the olive quick
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f85e539acf77fe8279af71083b28e6c2
https://pubmed.ncbi.nlm.nih.gov/32890831
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8
A comparison between mixed support kriging and block cokriging for modelling and combining spatial data with different support
Autor: Gabriele Buttafuoco, A. Venezia, Ruggiero Quarto, Annamaria Castrignanò
Publikováno v: Precision agriculture
20 (2019): 193–213. doi:10.1007/s11119-018-09630-w
info:cnr-pdr/source/autori:Castrignanò A., Quarto R., Venezia A., Buttafuoco G./titolo:A comparison between mixed support kriging and block cokriging for modelling and combining spatial data with different support/doi:10.1007%2Fs11119-018-09630-w/rivista:Precision agriculture (Print)/anno:2019/pagina_da:193/pagina_a:213/intervallo_pagine:193–213/volume:20
The paper proposes a geostatistical framework to solve the issues of heterogeneous support for spatial estimation. Apparent soil electrical conductivity (ECa) was measured in a field cropped with San Marzano tomato using a multiple frequency electrom
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc5a7d903117b507dce24d66078a50ee
https://publications.cnr.it/doc/396930
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9
A geophysical and spectrometric sensor data fusion approach for homogeneous within-field zone delineation
Autor: Carolina Vitti, Massimo Conforti, Annamaria Castrignanò, Gabriele Buttafuoco, Ruggiero Quarto, A. Venezia, F. Quarto
Publikováno v: Precision agriculture '19, edited by John V. Stafford, pp. 705–712. Wageningen: Wageningen Academic Publishers, 2019
info:cnr-pdr/source/autori:G. Buttafuoco, R. Quarto, F. Quarto, M. Conforti, A. Venezia, C. Vitti, A. Castrignanò/titolo:A geophysical and spectrometric sensor data fusion approach for homogeneous within-field zone delineation/titolo_volume:Precision agriculture '19/curatori_volume:John V. Stafford/editore: /anno:2019
The paper describes a geostatistical approach for combining multi-source data with different support for field delineation into homogeneous soil zones. Geophysical and spectrometric sensor data were used with soil chemical properties measured in labo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cff01209ca5a39753be20d4f7a0909a6
http://www.cnr.it/prodotto/i/404522
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10
Semi-Automatic Method for Early Detection of Xylella fastidiosa in Olive Trees Using UAV Multispectral Imagery and Geostatistical-Discriminant Analysis
Autor: Edoardo Bartoccetti, Antonella Belmonte, Ruggiero Quarto, Annamaria Castrignanò, Giovanni Gadaleta, Sergio Ruggieri, Sameh M. Shaddad, V. Sion, Franco Nigro, Francesco Quarto, Maria Rita Muolo, Nicola A. Ranieri, I. Antelmi, Carmela Riefolo
Publikováno v: Remote sensing (Basel) (2020). doi:10.3390/rs13010014
info:cnr-pdr/source/autori:Annamaria Castrignanò 1, Antonella Belmonte 2,*, Ilaria Antelmi 3, Ruggiero Quarto 4, Francesco Quarto 5, Sameh Shaddad 6, Valentina Sion 3, Maria Rita Muolo 7, Nicola A. Ranieri 7, Giovanni Gadaleta 8, Edoardo Bartoccetti 9, Carmela Riefolo 1, Sergio Ruggieri 1 and Franco Nigro 3/titolo:Semi-Automatic Method for Early Detection of Xylella fastidiosa in Olive Trees Using UAV Multispectral Imagery and Geostatistical-Discriminant Analysis/doi:10.3390%2Frs13010014/rivista:Remote sensing (Basel)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume
Remote Sensing; Volume 13; Issue 1; Pages: 14
Remote Sensing, Vol 13, Iss 14, p 14 (2021)
Xylella fastidiosa subsp. pauca (Xfp) is one of the most dangerous plant pathogens in the world. Identified in 2013 in olive trees in south–eastern Italy, it is spreading to the Mediterranean countries. The bacterium is transmitted by insects that
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30b2093d735fbf7d8e125d285689582b
https://doi.org/10.3390/rs13010014
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