Zobrazeno 1 - 10
of 61
pro vyhledávání: '"J. Kumhálová"'
Publikováno v:
Plant, Soil and Environment, Vol 61, Iss 9, Pp 410-416 (2015)
Remote sensing is often used for yield prediction as well as for crop monitoring. This paper describes how Landsat satellite data can be used to derive a growth model calculated from normalised difference vegetation index that can predict winter whea
Externí odkaz:
https://doaj.org/article/70a6bab655614f3885524cadf35d52bb
Publikováno v:
Plant, Soil and Environment, Vol 60, Iss 11, Pp 501-506 (2014)
Many factors can influence crop yield. One of the most important factors is topography, which can play a crucial role especially in dry years. Plant variability can be monitored by many methods. This paper evaluates the suitability of vegetation indi
Externí odkaz:
https://doaj.org/article/f85c19266c814811987ee8e98706fa4c
Publikováno v:
Plant, Soil and Environment, Vol 59, Iss 9, Pp 423-431 (2013)
One of the factors frequently affecting yields is topography. Topographic data can be obtained from various sources with different precision. This work evaluates suitability of airborne laser scanning data for use as another source of topographical c
Externí odkaz:
https://doaj.org/article/879564c7d8ab412a9641bfcf28663447
Publikováno v:
Plant, Soil and Environment, Vol 56, Iss 4, Pp 163-167 (2010)
Yields of winter wheat, winter rape and oats were evaluated in the field; the field was divided into the site-specific zones and treated with variable doses of nitrogen fertilizer in years 2004-2006. Measurements of the yields were carried out with a
Externí odkaz:
https://doaj.org/article/c9698f4718df438581d7dcaaf87ce98f
Publikováno v:
Plant, Soil and Environment, Vol 54, Iss 6, Pp 255-261 (2008)
The main aim of this study was to determine the dependence of yield and selected soil properties on topography of the experimental field by using topographical data (elevation, slope and flow accumulation). The topography and yield data were obtained
Externí odkaz:
https://doaj.org/article/817e445566e747d6a583730af626ba60
Publikováno v:
Acta Horticulturae. :95-102
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cbefcaa309bc09b918ea0d514b5d1e8
https://doi.org/10.17660/actahortic.2021.1328.13
https://doi.org/10.17660/actahortic.2021.1328.13
Publikováno v:
Precision Agriculture. 23:450-469
Wheat and rapeseed are significant crops in Czech agriculture and remote sensing has huge potential for their management, given Sentinel-1 can overcome issues of cloudiness and monitor vegetation development via radar backscatter. This study compares
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28dcf9710acdcafb56990e33343fd855
https://doi.org/10.1007/s11119-021-09844-5
https://doi.org/10.1007/s11119-021-09844-5
Publikováno v:
Agronomy
Volume 11
Issue 7
Agronomy, Vol 11, Iss 1348, p 1348 (2021)
Volume 11
Issue 7
Agronomy, Vol 11, Iss 1348, p 1348 (2021)
Khorasan wheat (Triticum turgidum ssp. turanicum (Jakubz.)) is an ancient tetraploid spring wheat variety originating from northeast parts of Central Asia. This variety can serve as a full-fledged alternative to modern wheat but has a lower yield tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6f7f9a1e40dfe680c2d35a83323334
Publikováno v:
Scientia Agriculturae Bohemica, Vol 49, Iss 2, Pp 127-135 (2018)
Remote sensing is a methodology using different tools to monitor and predict yields. Spatial variability of crops can be monitored through sampling of vegetation indices derived from the entire crop growth; spatial variability can be used to plan fur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c12c9730a1734efc6583101c93dc120
https://doi.org/10.2478/sab-2018-0018
https://doi.org/10.2478/sab-2018-0018
Publikováno v:
Plant, Soil and Environment. 64:38-46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b64f42c0e0e101df1b824800c2dc91fb
https://doi.org/10.17221/703/2017-pse
https://doi.org/10.17221/703/2017-pse