25 research outputs found

    Ayniyat yordamida tengsizliklarni isbotlash

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    Tengsizlikni isbotlashning ko’plab usullari mavjud. Biz ushbu maqolada o’quvchilarga bir ajoyib ayniyat va uning qo’llanishiga doir bazi malumotlarni taqdim etamiz

    Technology of fabrication of CdSxTe1-x solid solution on silicon substrate

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    Heterojunction between Si and CdSxTe1-x have been obtained by the method of vacuum deposition of powders of cadmium sulfide and cadmium telluride on the surface of monocrystalline silicon. The optimal temperature regime for the growth of the CdSxTe1-x solid solution on the silicon surface has been determined. The values of the crystal lattice constant and the thickness of the CdSxTe1-x solid solution at the interface of the n/Si – n/CdSxTe1-x heterostructure are calculated

    VICTIMOLOGICAL PREVENTION OF CRIMES COMMITTED AGAINST PERSON BY USE OF VIOLENCE

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    The a rticle analyzes v ictim o lo g ica l preve n tio n o f crim es co m m itte d a g a in s t a person th ro u gh violence, its features, as w ell as fo re ig n experience on this issue

    THE PROCEDURE FOR USING THE RESULTS OF OPERATIONAL INVESTIGATIVE ACTIVITIES AS EVIDENCE

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    The a rticle is d e v o te d to the p roce d u res e stablished b y la w fo r using the results o f o p e ra tio n a l search activities as evidenc

    WHEAT YIELD FORECASTING USING NDVI AND CROP STATISTICS IN TASHKENT PROVINCE

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    Monitoring of crop conditions is important part for the agricultural development system of the country. The production and prediction of wheat yield have direct impact on national and international economies, and play an important role in the food management in Uzbekistan. Today wheat yield production in Uzbekistan is receiving considerable attention from governmental organizations and farmers. The objective of this study is to investigate how we can best predict wheat yield during the vegetation period in Tashkent province. The approach used in this study is based on a crop growth model which is able to quantify the effect of weather conditions on crop growth. The model focuses on indicators from Crop Growth Monitoring System (CGMS) and Remote Sensing data to use year to year variation of wheat yield in Tashkent province. The results showed the positive correlation between the predicted yield and field data (R2 = 0.87) and indicators maximum NDVI and maximum DMP which are driven from remote sensing data are performing the best at regional level

    Soil salinity mapping by different interpolation methods in Mirzaabad district, Syrdarya Province

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    Soil salinity is an important global issue and especially on irrigated areas due to its great impact on a crop production system. Proper soil salinity mapping can improve land use management. The goal of this study was to improve the accuracy of soil salinity mapping with the two objectives (1) to evaluate different interpolation methods during soil salinity mapping and (2) to identify of differences in soil salinity assessments in irrigated land of Mirzaabad district which is most affected by salinity in Syrdarya province of Uzbekistan. Soil salinity data measured by EC meter was obtained from Syrdarya Hydromelioration Expedition. Different four interpolation methods such as Inverse Distance Weighted (IDW) with power 1, 2, and 3, and Kriging techniques were used for the generation continuous surface of soil salinity maps. The cross-Validation method with the assessment of Root Mean Square Errors (RMSE) shows that IDW with power 2 (IDW-2) most accurate. The maximum difference reached between IDW-2 and IDW-1 on the slightly saline area where the value decreased by 55% of the total irrigated land of the district. Minimum differences reached on IDW-3 on moderated saline class and higher than IDW-2 on 408.6 ha

    Soil salinity mapping by different interpolation methods in Mirzaabad district, Syrdarya Province

    No full text
    Soil salinity is an important global issue and especially on irrigated areas due to its great impact on a crop production system. Proper soil salinity mapping can improve land use management. The goal of this study was to improve the accuracy of soil salinity mapping with the two objectives (1) to evaluate different interpolation methods during soil salinity mapping and (2) to identify of differences in soil salinity assessments in irrigated land of Mirzaabad district which is most affected by salinity in Syrdarya province of Uzbekistan. Soil salinity data measured by EC meter was obtained from Syrdarya Hydromelioration Expedition. Different four interpolation methods such as Inverse Distance Weighted (IDW) with power 1, 2, and 3, and Kriging techniques were used for the generation continuous surface of soil salinity maps. The cross-Validation method with the assessment of Root Mean Square Errors (RMSE) shows that IDW with power 2 (IDW-2) most accurate. The maximum difference reached between IDW-2 and IDW-1 on the slightly saline area where the value decreased by 55% of the total irrigated land of the district. Minimum differences reached on IDW-3 on moderated saline class and higher than IDW-2 on 408.6 ha. © Published under licence by IOP Publishing Ltd

    Soil Electroconductivity as a Proxy to Monitor the Desertification in the Hungry Steppe (Uzbekistan)

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    Soil salinity caused by desertification is a principal limiting factor for agriculture and lands development in Central Asia. High spatial heterogeneity of soil salinity constrains monitoring desertification and decision making on land management and soil remediation. Low-cost express methods to monitor soil salinity are highly demanded especially at the regions, where implementation of more expensive conventional measurements is constrained due to budget limitations. This research aimed to test onsite and laboratory measurements of soil electroconductivity (EC) as a proxy of soil salinity in the Hungry Steppe (Syrdarya province of Uzbekistan). Four Water Consumer Associations (WCA) with different land quality were analyzed and the EC observations were compared to the results derived from soil salinity maps. An overall satisfactory performance of the indicator was shown with an average 28% of the correctly predicted soil salinity classes. Field EC observations significantly positively correlated to the lab observations (r = 0.57; p < 0.05), but underestimated the absolute values in 66% of the cases. The best performance (53% of corrected predictions) was obtained for the Beruni WCA with the lowers land quality, therefore EC can be recommended as a relevant proxy in areas with high salinity rather than in areas with low concentrations of water-soluble salts. © 2020, Springer Nature Switzerland AG

    Modern Technology of irrigation of garden trees in Agriculture

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    &nbsp;This article provides instructions on the systematic organization of irrigation work in horticulture and saving water.In dry farming, it is recommended touse hydrogels that retain water using local waste to save wate
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