Improving the methods of determining the amount of non-agricultural land use in agriculturae in Uzbekistan

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The world continues to actively develop robots for agriculture. The concept of unmanned technologies is being promoted in the agricultural sector of developed countries. Its high efficiency is expected due to the reduction of labor costs. However, the implementation of this concept in practice faces difficulties. The cost of creating new intellectual property results increases every year. To create a robot and ensure its novelty, inventors are forced to spend more and more money, resort to the services of outside engineers. Plant protection (including potato) remains an acute problem, requiring increased efficiency of treatments. This problem is exacerbated in light of the growing concern of machine operators about pesticide damage. To reduce the role of the “human factor,” we are using a specially designed robot.

Section: Introductionmentioning

confidence: 99%

Robot for selective application of fungicides to control potato diseases

Seitov,

Li,

Khushvaktova

et al. 2023

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Improving the assessment of agricultural land reclamation condition using GIS based on the interdependence of the factors impact

Goibberdiev,

Ikromkhodjaev,

Tajekeev

et al. 2023

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Land used for agriculture is critical in Uzbekistan and throughout the world. Land reclamation is assessed using a variety of traditional approaches. The creation of land reclamation assessment methods is becoming more common as a result of the usage of modern geoinformation technologies and their better methodology. The levels of mineralization in the groundwater level, as well as NDVI and NDSI analysis, were determined for the three months of 2020 and 2021 - April, July, and November - in the irrigated lands of the Yuqiri chirchik, Urtachirchik, and Quyichirchik districts of the Tashkent region, which were used as the research object. These data were reclassified in ArcGIS software, and fields were defined by values. Their correlation was determined based on the results provided above. It was determined that plant vegetation is dependent on the salinity and mineralization of seepage waters, i.e., a decrease in seepage water mineralization and a drop in salinity are directly associated to an increase in plant vegetation, and vice versa.

Design of an optimal irrigation system taking into account the characteristics of the earth using simulation-optimization models

Khakimova,

Mamanazarova,

Urinova

et al. 2024

This paper presents a novel algorithm for the design of an optimal irrigation system, which utilizes land topographic data, specifically digital land surface models (DSMs). The proposed approach incorporates an inter-farm irrigation network map, canal profile, and spatial model of the region as part of the topographic data. By dividing the land into sections with similar topographical characteristics, this method facilitates the identification and optimization of key parameters related to the land and irrigation system, ultimately leading to an optimal design of the irrigation system.