Showing 241 - 260 results of 477 for search '"Kherson"', query time: 0.07s Refine Results
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    RECYCLING BIOSOLIDS TO IMPROVE MARGINAL LANDS FOR BIOENERGY FEEDSTOCK PRODUCTION IN UKRAINE by N. O. Didenko, Y. B. Mosiichuk, M. D. Zosymchuk, M. M. Kharytonov, M. G. Babenko, B. O. Mazurenko, S. O. Lavrenko, M. A. Rahman, K. R. Islam

    Published 2021-12-01
    “…Specific objectives are to: (1) establish research studies to evaluate growth and feedstock productivity, nutrient removal, and feedstock characteristics of sweet sorghum fertilized with biosolids on degraded and marginal lands in Rivne, Kherson, Dnipro, and Kyiv regions of Ukraine; and (2) determine the impact of biosolids and sweet sorghum on soil quality. …”
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    LATE SCYTHIAN NECROPOLIS CHERVONY MAYAK: 10 YEARS OF EXPLORATION by Aleksandr SYMONENKO

    Published 2021-04-01
    “…The first plan of the hill-fort was taken by the military engineer A.P. Chirkov, and Kherson archaeologist V.I. Goshkevich has made the description and map of the site. …”
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    Seasonal dynamics of normalized difference vegetation index in some winter and spring crops in the South of Ukraine by P. V. Lykhovyd

    Published 2021-11-01
    “…Remote sensing data provided by the OneSoil AI platform, which uses Sentinel-1 and Sentinel-2 imagery as a basis, was used to derive the monthly index values for the 2016–2021 growing season for nine selected crops grown in the experimental fields at the NAAS Institute of Irrigated Agriculture, Kherson, Ukraine. The fallow field was also included in the study to determine the cutoff values of the vegetation index, which are not representative of any healthy vegetation. …”
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    Modelling Salvia sclarea L. yields depending on plants spacing, mineral fertilisers and depth of ploughing in the irrigated conditions of cold Steppe zone by Victor Chaban, Pavlo Lykhovyd, Sergiy Lavrenko

    Published 2023-07-01
    “…The experimental basis for the study is the data on crop inflorescence yields, collected during field investigation of clary sage cultivation technology in the dripirrigated lands of the Kherson Oblast during 2013-2018. Theoretical study on the yield formation depending on the cultivation technology elements was performed through rank correlation and heteroscedasticity analyses, while the mathematical model for the crop yield prediction was developed using multiple regression. …”
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