Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Shafian, Sanaz"'
Autor:
Podder, Swarup1 swaruppodder@vt.edu, Shafian, Sanaz1 sshafian@vt.edu, Thomason, Wade E.2 wade.thomason@okstate.edu, Wilson, T. Bain3, Fike, John H.1 jfike@vt.edu
Publikováno v:
Crops (2673-7655). Jun2024, Vol. 4 Issue 2, p145-155. 11p.
Autor:
Vahidi, Milad1 (AUTHOR) miladvahidi@vt.edu, Shafian, Sanaz1 (AUTHOR) sshafian@vt.edu, Thomas, Summer1 (AUTHOR), Maguire, Rory1 (AUTHOR)
Publikováno v:
Remote Sensing. Dec2023, Vol. 15 Issue 24, p5714. 25p.
Autor:
Vahidi, Milad1 (AUTHOR) miladvahidi@vt.edu, Shafian, Sanaz1 (AUTHOR) sshafian@vt.edu, Thomas, Summer1 (AUTHOR), Maguire, Rory1 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2023, Vol. 15 Issue 20, p5014. 23p.
Akademický článek
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Autor:
El Idrissi, Mohammed, El Beqqali, Omar, Riffi, Jamal, Shamshiri, Redmond R., Shafian, Sanaz, Hameed, Ibrahim A.
Publikováno v:
Digital Agriculture, Methods and Applications
Digital Agriculture, Methods and Applications ISBN: 9781803554624
Digital Agriculture, Methods and Applications ISBN: 9781803554624
Adopting new information and communication technology (ICT) as a solution to increase agricultural productivity and achieve food security becomes more urgent than before, particularly with the demographical explosion and the exponential increase of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a05c9ad7e4648194900aa5467977e02a
https://mts.intechopen.com/articles/show/title/digital-agriculture-and-intelligent-farming-business-using-information-and-communication-technology-
https://mts.intechopen.com/articles/show/title/digital-agriculture-and-intelligent-farming-business-using-information-and-communication-technology-
Autor:
Li, Minhui, Shamshiri, Redmond R., Schirrmann, Michael, Weltzien, Cornelia, Shafian, Sanaz, Laursen, Morten Stigaard
Publikováno v:
Remote Sensing, Vol 14, Iss 585, p 585 (2022)
Li, M, Shamshiri, R R, Schirrmann, M, Weltzien, C, Shafian, S & Laursen, M S 2022, ' UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds ', Remote Sensing, vol. 14, no. 3, 585 . https://doi.org/10.3390/rs14030585
Li, M, Shamshiri, R R, Schirrmann, M, Weltzien, C, Shafian, S & Laursen, M S 2022, ' UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds ', Remote Sensing, vol. 14, no. 3, 585 . https://doi.org/10.3390/rs14030585
Leaf area index (LAI) and height are two critical measures of maize crops that are used in ecophysiological and morphological studies for growth evaluation, health assessment, and yield prediction. However, mapping spatial and temporal variability of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b820df5ec0acea3698ce7f07a36fc601
https://hdl.handle.net/10919/108300
https://hdl.handle.net/10919/108300
Autor:
Walsh, Olga S., Nambi, Eva, Shafian, Sanaz, Jayawardena, Dileepa M., Ansah, Emmanuella Owusu, Lamichhane, Ritika, McClintick-Chess, Jordan R.
Publikováno v:
Agrosystems, Geosciences & Environment; 2023, Vol. 6 Issue 1, p1-15, 15p
Akademický článek
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Autor:
Walsh, Olga S., Marshall, Juliet, Jackson, Chad, Nambi, Eva, Shafian, Sanaz, Jayawardena, Dileepa M., Lamichhane, Ritika, Owusu Ansah, Emmanuella, McClintick‐Chess, Jordan R.
Publikováno v:
Agrosystems, Geosciences & Environment; 2022, Vol. 5 Issue 4, p1-14, 14p