SUBSTANTIATION OF THE GENERAL MODEL OF AGROCLUSTERS AND THE COMPOSITION OF THE MACHINERY FLEET (USING RICE-GROWING CLUSTERS AS AN EXAMPLE)
- Authors
-
-
Egamnazarov Bexzod Bahromjon o‘g‘li
Kimyo International University in Tashkent Namangan Branch, Department of "Energy and Applied Sciences" Associate Professor, PhD
-
- Keywords:
- Rice-growing tractor general model rational sown area technological operation rice cultivation fleet of machines composition type quantity effect
- Abstract
- This article presents the results of a study on the development of a general model of the rice cluster and the determination of the composition, types and quantity of the required machine park. The concept of “General model of a rice-growing cluster” is introduced and its definition is given. The general model for sown area is substantiated by the following sequence: regional rice clusters are grouped according to the values of sown area; clusters with the largest sown areas were selected from the groups and the corresponding variational series of numbers was formed; the upper limit of the mathematical expectation of this series is taken as the rational sowing area of the general model. Using the standard coefficients (numbers) of technical equipment required per 1 000 hectares of rice land, the composition, brands and number of tractors and agricultural machines that perform technological operations on the sowing area of the rice-growing cluster are determined. In rice growing clusters with a rational technical park, all agrotechnical operations are carried out at the optimum time and agricultural products adapted for processing are grown.
- References
-
[1] M. Toshboltayev, J. Achilov, X. Mirzabdullayev, T. Xamraqulov, and B. Egamnazarov, “Scientific-engineering directions for establishing a rational machinery fleet and maintenance-service base for agroclusters,” Agroilm – Agroscience, no. 2, pp. 77–78, 2022.
[2] Research Institute of Agricultural Economics, Model Technological Cards for the Care of Agricultural Crops and Production, vol. 1. Tashkent, Uzbekistan: Research Institute of Agricultural Economics, 2016.
[3] M. Toshboltayev and M. Djiyanov, Substantiation of the Composition of Machinery and Technical Service Points for Cotton-Textile Clusters. Tashkent, Uzbekistan: Navroz, 2021.
[4] M. Toshboltayev and M. Djiyanov, “The demand for technical equipment and the general procedure for determining it,” Agrotechnica World, no. 2, pp. 16–18, 2019.
[5] A. L. Mitkov and S. V. Kardashevskiy, Statistical Methods in Agricultural Machinery Engineering. Moscow, USSR: Mashinostroenie, 1978.
[6] L. S. Ermolov, V. M. Kryazhkov, and V. E. Cherkun, Fundamentals of Agricultural Machinery Reliability. Moscow, USSR: Kolos, 1974.
[7] M. Toshboltayev, Theoretical and Methodological Foundations for Increasing the Utilization Level of Machine-Tractor Units in Agriculture of Uzbekistan. Tashkent, Uzbekistan: Fan va texnologiya, 2016.
[8] R. R. Muradovich, D. Ibragimov, B. Egamnazarov, Z. Seytimbetova, and Z. X. Sarkarova, “Methodology of development of technical and economic model of agricultural machinery dealer point,” 2021.
[9] B. Egamnazarov, “Substantiation of the general model of a rice-growing cluster and the composition of the machinery fleet,” Science and Innovative Development, vol. 6, no. 3, pp. 106–114, 2023.
[10] M. T. Toshboltaev and B. Egamnazarov, “Rationale for the composition, type and quantity of technology for rice clusters,” Agricultural Machinery and Technologies, vol. 17, no. 3, pp. 73–78, 2023.
[11] B. B. Egamnazarov, “Substantiation of the general model of a rice-growing cluster and the composition of the machinery fleet,” Science and Innovative Development, vol. 6, no. 3, pp. 106–114, 2023, doi: 10.36522/2181-9637-2023-3-11.
[12] M. T. Toshboltaev and B. Egamnazarov, “Substantiation of the composition, type, and quantity of technical means for rice-growing clusters,” Agricultural Machinery and Technologies, vol. 17, no. 3, pp. 73–78, 2023.
[13] B. Egamnazarov, “Substantiation of the general model of a rice-growing cluster and the composition of the machinery fleet,” Science and Innovative Development, vol. 6, no. 3, pp. 106–114, 2023.
[14] R. Rustamov, D. Ibragimov, B. Egamnazarov, Z. Seytimbetova, and Z. X. Sarkarova, “Methodology of development of technical and economic model of agricultural machinery dealer point,” American Journal of Social and Humanitarian Research, vol. 2, no. 8, pp. 1–7, 2021.
[15] V. M. Turdaliyev, D. Shotmonov, and B. Egamnazarov, “Improvement of a repair kit for a sliding bearing for a shock absorber silent block,” Mekhanika i Tekhnologiya, vol. 2, no. 3, pp. 21–26, 2021.