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pro vyhledávání: '"crop growth modelling"'
Akademický článek
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Irrigation water demand of common bean on field and regional scale under varying climatic conditions
Publikováno v:
Meteorologische Zeitschrift, Vol 25, Iss 4, Pp 365-375 (2016)
Crop irrigation plays an important role in the world's food production and its role is expected to increase still further. For policy makers, the quantification of the irrigation water demand and the water availability on a regional scale is crucial.
Externí odkaz:
https://doaj.org/article/83c3a48531b047f4890e7e08ca107e5b
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 410 (2020)
A remote sensing-integrated crop model (RSCM) able to simulate crop growth processes using proximal or remote sensing data was formulated for simulation of soybean through estimating parameters required for modelling. The RSCM-soybean was then evalua
Externí odkaz:
https://doaj.org/article/7e702c2b3391469094fad8930747e18b
Akademický článek
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Akademický článek
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Publikováno v:
Frontiers in Plant Science, Vol 6 (2015)
The GesCoN model was evaluated for its capability to simulate growth, nitrogen uptake and productivity of open field tomato grown under different environmental and cultural conditions. Five datasets collected from experimental trials carried out in F
Externí odkaz:
https://doaj.org/article/0d87c57e2f33400490486b8a5bc803b6
Autor:
Antonio eElia, Giulia eConversa
Publikováno v:
Frontiers in Plant Science, Vol 6 (2015)
Reduced water availability and environmental pollution caused by nitrogen (N) losses have increased the need for rational management of irrigation and N fertilization in horticultural systems. Decision support systems (DSS) could be powerful tools to
Externí odkaz:
https://doaj.org/article/89fadf4bdac3498a8853e31243a9bef6
Publikováno v:
ISESS 2020-13th International Symposium on Environmental Software Systems, Wageningen, The Netherlands, 5-7 February 2020
info:cnr-pdr/source/autori:Lokers Rob M; Knapen M.J. R.; Candela L.; Hoek S.; Meijninger W./congresso_nome:ISESS 2020-13th International Symposium on Environmental Software Systems/congresso_luogo:Wageningen, The Netherlands/congresso_data:5-7 February 2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine
IFIP Advances in Information and Communication Technology
13th International Symposium on Environmental Software Systems (ISESS)
13th International Symposium on Environmental Software Systems (ISESS), Feb 2020, Wageningen, Netherlands. pp.115-121, ⟨10.1007/978-3-030-39815-6_11⟩
Environmental Software Systems
Environmental Software Systems. Springer
IFIP Advances in Information and Communication Technology ISBN: 9783030398149
ISESS
info:cnr-pdr/source/autori:Lokers Rob M; Knapen M.J. R.; Candela L.; Hoek S.; Meijninger W./congresso_nome:ISESS 2020-13th International Symposium on Environmental Software Systems/congresso_luogo:Wageningen, The Netherlands/congresso_data:5-7 February 2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine
IFIP Advances in Information and Communication Technology
13th International Symposium on Environmental Software Systems (ISESS)
13th International Symposium on Environmental Software Systems (ISESS), Feb 2020, Wageningen, Netherlands. pp.115-121, ⟨10.1007/978-3-030-39815-6_11⟩
Environmental Software Systems
Environmental Software Systems. Springer
IFIP Advances in Information and Communication Technology ISBN: 9783030398149
ISESS
International audience; Tackling some of the grand global challenges, agro-environmental research has turned more and more into an international venture, where distributed research teams work together to solve complex research questions. Moreover, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3796b4dff0ce9c4971c5ccffa19cd656
https://link.springer.com/chapter/10.1007/978-3-030-39815-6_11
https://link.springer.com/chapter/10.1007/978-3-030-39815-6_11
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 410 (2020)
Remote Sensing
Volume 12
Issue 3
Remote Sensing
Volume 12
Issue 3
A remote sensing-integrated crop model (RSCM) able to simulate crop growth processes using proximal or remote sensing data was formulated for simulation of soybean through estimating parameters required for modelling. The RSCM-soybean was then evalua