Search results

  1. 1.
    0574227 - ÚVGZ 2024 RIV CH eng J - Journal Article
    Thaler, Sabina - Pohanková, Eva - Eitzinger, J. - Hlavinka, Petr - Orság, Matěj - Lukas, Vojtěch - Brtnický, M. - Růžek, Pavel - Šimečková, Jana - Ghisi, Tomáš - Bohuslav, Jakub - Klem, Karel - Trnka, Miroslav
    Determining Factors Affecting the Soil Water Content and Yield of Selected Crops in a Field Experiment with a Rainout Shelter and a Control Plot in the Czech Republic.
    Agriculture-Basel. Roč. 13, č. 7 (2023), č. článku 1315. E-ISSN 2077-0472
    R&D Projects: GA MŠMT(CZ) EF16_019/0000797
    Research Infrastructure: CzeCOS IV - 90248
    Institutional support: RVO:86652079
    Keywords : precipitation manipulation experiment * crop rotation * soil moisture * agricultural drought
    OECD category: Agriculture
    Impact factor: 3.6, year: 2022
    Method of publishing: Open access
    https://www.mdpi.com/2077-0472/13/7/1315
    Permanent Link: https://hdl.handle.net/11104/0344597
    FileDownloadSizeCommentaryVersionAccess
    agriculture-13-01315-v2.pdf66.2 MBPublisher’s postprintopen-access
     
     
  2. 2.
    0500045 - ÚVGZ 2019 RIV CZ eng J - Journal Article
    Jurečka, František - Lukas, Vojtěch - Hlavinka, Petr - Semerádová, Daniela - Žalud, Zdeněk - Trnka, Miroslav
    Estimating crop yields at the field level using landsat and modis products.
    Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. Roč. 66, č. 5 (2018), s. 1141-1150. ISSN 1211-8516. E-ISSN 2464-8310
    R&D Projects: GA MŠMT(CZ) EF16_019/0000797
    Institutional support: RVO:86652079
    Keywords : Crop yield * Remote sensing * Satellites * Unmanned aerial vehicles * Vegetation indices * Yield estimation
    OECD category: Agronomy, plant breeding and plant protection
    Permanent Link: http://hdl.handle.net/11104/0292205
     
     
  3. 3.
    0493404 - ÚVGZ 2019 RIV CZ cze J - Journal Article
    Hlavinka, Petr - Meitner, Jan - Lukas, Vojtěch - Semerádová, Daniela - Trnka, Miroslav
    Předpověď krajských výnosů cukrové řepy v České republice na základě dat družicového snímkování.
    [Predictions of Regional Sugar Beet Yields in Czech Re­pub­lic from Satellite Imagery.]
    Listy cukrovarnické a řepařské. Roč. 134, 7-8 (2018), s. 234-239. ISSN 1210-3306
    R&D Projects: GA MŠMT(CZ) LO1415; GA MZe(CZ) QJ1610072
    Institutional support: RVO:86652079
    Keywords : drought * MODIS * monitoring * satelite imagery * vegetation indices
    OECD category: Agronomy, plant breeding and plant protection
    Impact factor: 0.257, year: 2018
    http://www.cukr-listy.cz/on_line/2018/PDF/234-239.pdf
    Permanent Link: http://hdl.handle.net/11104/0286760
     
     


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