Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Arturo Alvino"'
Publikováno v:
Agronomy, Vol 12, Iss 5, p 1012 (2022)
The agricultural sector is one of the major users of water resources. Water is an important asset that needs to be preserved using the latest available technologies. Modern technologies and digital tools can transform the agricultural domain from bei
Externí odkaz:
https://doaj.org/article/cc696ffc203f4664b107aa8bdeefd4d8
Autor:
Stefano Marino, Arturo Alvino
Publikováno v:
European Journal of Remote Sensing, Vol 51, Iss 1, Pp 266-275 (2018)
Vegetation indices (VIs) obtained from unmanned aerial system (UAS) are effective for monitoring quantitative and qualitative characteristics of vegetation cover. Nevertheless, the identification of agronomic homogeneous crop areas to be managed in a
Externí odkaz:
https://doaj.org/article/9db7a5a9cde540a3996e464f0692046a
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4155 (2021)
Currently, the world is facing high competition and market risks in improving yield, crop illness, and crop water stress. This could potentially be addressed by technological advancements in the form of precision systems, improvements in production,
Externí odkaz:
https://doaj.org/article/63a654150d474ed29857ded2ce642ac4
Publikováno v:
Horticulturae, Vol 7, Iss 2, p 29 (2021)
Water, energy and food security are crucial for a sustainable long-term economy [...]
Externí odkaz:
https://doaj.org/article/e4596672ffae428592c0863349918d97
Autor:
Stefano Marino, Arturo Alvino
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 541 (2021)
Monitoring the spatial and temporal variability of yield crop traits using remote sensing techniques is the basis for the correct adoption of precision farming. Vegetation index images are mainly associated with yield and yield-related physiological
Externí odkaz:
https://doaj.org/article/8a874ac375f341bf80acd38758a908ae
Autor:
Stefano Marino, Arturo Alvino
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 249 (2020)
Timely and accurate estimation of crop yield variability before harvest is crucial in precision farming. This study is aimed to evaluate the ability of cluster analysis based on Vegetation Indices (VIs) that were obtained from UAVs to predict the spa
Externí odkaz:
https://doaj.org/article/e2f83afd59c24c1db5b5dc84634e8d9f
Autor:
Stefano Marino, Arturo Alvino
Publikováno v:
Agronomy, Vol 9, Iss 5, p 226 (2019)
An on-farm research study was carried out on two small-plots cultivated with two cultivars of durum wheat (Odisseo and Ariosto). The paper presents a theoretical approach for investigating frequency vegetation indices (VIs) in different areas of the
Externí odkaz:
https://doaj.org/article/bc2a1657442c46f7b03444cf7abfbfac
Publikováno v:
Italian Journal of Agronomy, Vol 6, Iss 1 (2010)
The objectives of this study are (i) to evaluate vegetation indices sensitivity to discriminate between two different cultivars; (ii) to determine the effects of site elevation and developmental stages on cultivar discrimination. The experiment was c
Externí odkaz:
https://doaj.org/article/5badb9a11acb4e6faae74d397b453c4c
Publikováno v:
Remote Sensing, Vol 13, Iss 4155, p 4155 (2021)
Currently, the world is facing high competition and market risks in improving yield, crop illness, and crop water stress. This could potentially be addressed by technological advancements in the form of precision systems, improvements in production,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a41f34bd4e3200a514a91b1268e0dca
https://www.mdpi.com/2072-4292/13/20/4155
https://www.mdpi.com/2072-4292/13/20/4155
Publikováno v:
Precision agriculture ’21.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19a4231df949cbe2759de67645ff13cc
https://doi.org/10.3920/978-90-8686-916-9_48
https://doi.org/10.3920/978-90-8686-916-9_48