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0552700 - ÚVGZ 2022 RIV CH eng J - Journal Article
Klem, Karel - Křen, J. - Simor, J. - Kováč, Daniel - Holub, Petr - Míša, P. - Svobodová, I. - Lukáš, V. - Lukeš, Petr - Findurová, Hana - Urban, Otmar
Improving Nitrogen Status Estimation in Malting Barley Based on Hyperspectral Reflectance and Artificial Neural Networks.
Agronomy. Roč. 11, č. 12 (2021), č. článku 2592. E-ISSN 2073-4395
R&D Projects: GA MŠMT(CZ) EF16_019/0000797; GA MZe(CZ) QK1910197
Institutional support: RVO:86652079
Keywords : partial least-squares * vegetation indexes * spring barley * chlorophyll content * remote estimation * winter-wheat * grain-yield * growth * crop * nutrition * artificial neural network * grain yield * Hordeum vulgare * nitrogen status * hyperspectral reflectance
OECD category: Agriculture
Impact factor: 3.949, year: 2021
Method of publishing: Open access
https://www.mdpi.com/2073-4395/11/12/2592
Permanent Link: http://hdl.handle.net/11104/0327827