Determination of substrate composition, light, and temperature for interior plant growth

Egamberdiev, Shahzod; Kholmurotov, M Z; Berdiev, Erkin; Ochilov, Temurmalik; Oymatov, Rustam; Abdurakhmonov, Z.

doi:10.1051/e3sconf/202128403015

Cited by 15 publications

(10 citation statements)

References 6 publications

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“…The solution to the problem of potato seed production is to provide sown areas with high-quality seed material obtained on the basis of biotechnological methods of rehabilitation, clonal selection, and accelerated reproduction [20][21][22].…”

Section: Resultsmentioning

confidence: 99%

The yield of elite potato varieties for primary seed production using precision agriculture technologies in the conditions of Northern Kazakhstan

et al. 2023

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The article presents the results of conducting primary seed production of virus-free original and zoned potato varieties in the conditions of Northern Kazakhstan. The creation and introduction into the production of new virus-free highly productive potato varieties with a complex of economically valuable traits is a priority for the national economy of any state. Providing potato-growing farms with high-quality seeds of local varieties has been and remains an acute problem for the industry. The data on the yield and quality of tubers depending on the reproduction of potatoes are presented. So, when assessing the yield of virus-free potato varieties, a good indicator was observed in Dunyasha (12.7 t/ha), Zeren (9.2 t/ha), and Sante (6.4 t/ha). When harvesting from an area of 0.6 ha, 3.4 tons of super-elite potatoes were harvested with an average yield of 5.7 t/ha.

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Section: Resultsmentioning

confidence: 99%

The yield of elite potato varieties for primary seed production using precision agriculture technologies in the conditions of Northern Kazakhstan

et al. 2023

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“…km, the total volume decreased 14 times -about 76.6 cubic km, level marks also vary: from 26 to 27 m in the Big and 42 m in the Small Aral (Fig. 2) [2].…”

Section: Methodsmentioning

confidence: 95%

“…During the observation period from 1850 to 1960, fluctuations in its level did not exceed three meters and were caused exclusively by natural factors. The area of the Aral Sea in 1960 was 68.9 thousand square km, the volume of water was 1083 cubic km, and the height above sea level was 53.4 m [2]. As of 2014, the sea indicators have changed significantly (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Uzbekistan is a state located in the central part of Central Asia. Neighboring states: in the east -Kyrgyzstan; in the northeast, north and northwest -Kazakhstan; in the southwest and south -Turkmenistan; in the south -Afghanistan and in the southeast -Tajikistan [1,2]. This work will discuss the topic of showing the relief of the dried bottom of the Aral Sea with contours, as well as soils and types of sand, and vegetation on maps [3,4].…”

Section: Introductionmentioning

confidence: 99%

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Mapping the relief and other objects of the Aral Sea (as it dries out) using satellite images

Minashkina,

Ten,

Valieva

2024

E3S Web Conf.

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This article discusses cartographic work on creating maps of the territory of the dry bottom of the Aral Sea using conventional signs and showing the bottom with contour lines. As the sea dried up, the need arose to create topographic maps of the resulting land based on aerial and satellite images. In addition to the relief, it was necessary to show on the map the types of soils, sands, and types of vegetation. As a result of the retreat of the sea, it is necessary to identify the dynamics of the development of the land bottom and monitor the relief, how it changed in connection with this process. For such work, it is necessary to use satellite images using GIS technologies, as well as data from remote sensing of the Earth and create a digital model of the relief of the dried bottom of the Aral Sea. Based on this digital terrain model, it is possible to predict the state of the area in order to develop measures to increase the level of environmental stability and the ability to plan for the future.

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“…According to the analysis, in Payarik, Bulungur, Dzhambay, Tailak, and Urgut districts of Samarkand province, it is recommended to install wind turbines for Samarkand province in Payarik, Bulungur, Jambay, Taylak and Urgut districts and for the Tashkent province Bostanlyk, Ahangaron, Piskent, Bekabad, Boka, Ortachirchik, Koyichirchik, Chinoz and Yangiyul districts, given that the winds blow mainly from the north in a circle and form a winding path. [7,20] In Bostanlyk, Akhangaron, Piskent, Bekabad, Buka, Urtachirchik, Koyichirchik, Chinoz, and Yangiyul districts of the Tashkent province, it is recommended to install wind turbines in the above-mentioned districts in both Samarkand and Tashkent provinces (Figure 5).…”

Section: Fig 2 Surface Temperature Map Of Samarkand Provincementioning

confidence: 99%

Development of a method for determining the optimal areas for alternative energy facilities based on GIS technologies

Ibragimov¹,

Inamov

Mukhamedayubova

et al. 2023

E3S Web Conf.

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Acquisition of alternative energy resources using the modern Global Mapper software on an electronic digital map is an important process. This article analyses the possibility of using maps in the implementation of internationally acknowledged projects, as well as interactive services to the government, and the possibility of mapping alternative energy sources, synthesizing data, and developing management decisions through the development of innovative technologies. The research in this study is about determining optimal locations for the installation of solar panels and wind turbines. For the tests, Tashkent and Samarkand provinces were selected. Initially, the elevation of the provinces was determined by remote sensing and the elevation surface was created by interpolation. According to the data obtained from the regional hydrometeorological stations, the air temperature in the regions was taken and geovisualized as a vector layer. At the same time, the wind speed was mapped using the method of geostatistical analysis, which observed the annual average wind speed. On the basis of the highest parts of the earth’s surface and in areas with high temperatures, raster calculations were performed and the method for determining the most optimal place for installing solar panels was improved.

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Determination of substrate composition, light, and temperature for interior plant growth

Cited by 15 publications

References 6 publications

The yield of elite potato varieties for primary seed production using precision agriculture technologies in the conditions of Northern Kazakhstan

The yield of elite potato varieties for primary seed production using precision agriculture technologies in the conditions of Northern Kazakhstan

Mapping the relief and other objects of the Aral Sea (as it dries out) using satellite images

Development of a method for determining the optimal areas for alternative energy facilities based on GIS technologies

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