Abstract
The article analyzes the current state of lalmi crop lands using the methods of variability, mathematical programming and scientific observation, evaluates and develops the ratio of land and crop species to their location, natural-geographic, socio-economic and environmental conditions of these regions.
Highlights
It is important to develop the country's economy in accordance with the current conditions, rational organization of the use of lalmi crop areas, along with irrigated land, ensuring the stability of the system of food production, ensuring the efficiency of the available resources in this region
Special system of measures aimed at the rational organization of the use of such crop lands in the Kashkadarya region, where the vast majority of the lalmi crop areas are located, will yield great results in the near future
Bunda depending on the region in which these lalmi crop lands are located, it is better to determine the optimal composition and area of the land and crop species that will be placed in them, based on all aspects
Summary
It is important to develop the country's economy in accordance with the current conditions, rational organization of the use of lalmi crop areas, along with irrigated land, ensuring the stability of the system of food production, ensuring the efficiency of the available resources in this region. Bunda depending on the region in which these lalmi crop lands are located, it is better to determine the optimal composition and area of the land and crop species that will be placed in them, based on all aspects. The land of the crop is located in different regions according to their natural-climatic and economic characteristics. In this regard, it is desirable for each region to determine the specific proportions and areas of the land and crop variety in different variants, as well as to choose the most optimal option, comparing them to each other, placing them on the basis of the optimal solution proposed in this option. In this research carried out, the methods of variability, mathematical programming, optimization and scientific observation were used
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