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pro vyhledávání: '"S.F. Di Gennaro"'
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Publikováno v:
Acta Horticulturae. :259-268
Autor:
Alessandro Matese, Giovanni Agati, L. Fabbrini, Rita Perria, Andrea Berton, Alessandra Zombardo, Lucia Cavigli, S.F. Di Gennaro, Paolo Storchi, Lorenza Tuccio
Publikováno v:
Precision agriculture ’21.
Autor:
Alessandro Matese, Matteo Gatti, Andrea Berton, S.F. Di Gennaro, Cecilia Squeri, Stefano Poni
Publikováno v:
Precision agriculture ’21.
Publikováno v:
Computers and electronics in agriculture 162 (2019): 931–940. doi:10.1016/j.compag.2019.05.038
info:cnr-pdr/source/autori:Matese A.; Di Gennaro S.F.; Santesteban L.G./titolo:Methods to compare the spatial variability of UAV-based spectral and geometric information with ground autocorrelated data. A case of study for precision viticulture/doi:10.1016%2Fj.compag.2019.05.038/rivista:Computers and electronics in agriculture/anno:2019/pagina_da:931/pagina_a:940/intervallo_pagine:931–940/volume:162
info:cnr-pdr/source/autori:Matese A.; Di Gennaro S.F.; Santesteban L.G./titolo:Methods to compare the spatial variability of UAV-based spectral and geometric information with ground autocorrelated data. A case of study for precision viticulture/doi:10.1016%2Fj.compag.2019.05.038/rivista:Computers and electronics in agriculture/anno:2019/pagina_da:931/pagina_a:940/intervallo_pagine:931–940/volume:162
One of the key steps that would lead winegrowers to implement precision viticulture as a management tool would be the clear demonstration of the agronomic and oenological significance of the zones delineated within a vineyard based, totally or partia
Autor:
Alessandro Matese, Ezio Riggi, Claudio Cantini, F. Muratore, S.F. Di Gennaro, Giovanni Avola, C. Tornambè
Publikováno v:
Acta horticulturae 1314 (2021): 353–360. doi:10.17660/ActaHortic.2021.1314.44
info:cnr-pdr/source/autori:Riggi E.; Avola G.; Di Gennaro S.F.; Cantini C.; Muratore F.; Tornambe C.; Matese A./titolo:UAV-based 3D models of olive tree crown volumes for above-ground biomass estimation/doi:10.17660%2FActaHortic.2021.1314.44/rivista:Acta horticulturae/anno:2021/pagina_da:353/pagina_a:360/intervallo_pagine:353–360/volume:1314
info:cnr-pdr/source/autori:Riggi E.; Avola G.; Di Gennaro S.F.; Cantini C.; Muratore F.; Tornambe C.; Matese A./titolo:UAV-based 3D models of olive tree crown volumes for above-ground biomass estimation/doi:10.17660%2FActaHortic.2021.1314.44/rivista:Acta horticulturae/anno:2021/pagina_da:353/pagina_a:360/intervallo_pagine:353–360/volume:1314
Variation in trees crown volume can be assumed as useful tool to estimate crop response to agronomical management practices and to provide information for a correct mass balance of the crop. In that direction, innovative technologies applied in agric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0e80e3d8e96a1eaec6ce456d6a016f6
http://www.cnr.it/prodotto/i/455667
http://www.cnr.it/prodotto/i/455667
Autor:
Massimo Vincenzini, Lorenzo Genesio, Silvia Mangani, Yuri Romboli, Alessandro Matese, Giacomo Buscioni, S.F. Di Gennaro
Publikováno v:
Australian Journal of Grape and Wine Research. 23:368-377
Background and Aims This study focused on the impact of vine vigour on Sangiovese grapes and wines, applying a high-resolution remote sensing technique by an unmanned aerial vehicle (UAV) platform to identify vigour at the single vine level within a
Autor:
S.F. Di Gennaro, Alessandro Matese, Luis G. Santesteban, Andrea Berton, Carlos Henrique Miranda
Publikováno v:
Advances in Animal Biosciences. 8:817-822
New remote sensing technologies have provided unprecedented results in vineyard monitoring. The aim of this work was to evaluate different sources of images and processing methodologies to describe spatial variability of spectral-based and canopy-bas
Publikováno v:
Precision agriculture ’19.
Publikováno v:
Precision agriculture ’19.