Scientific and Technological Journal “Sustainable Agriculture”
WATER EROSION MODELING USING GEOINFORMATICS. D. Kendjaeva - assistant, K. Djamolov - Ph.D., associate professor, H.S. Djamolova - assistant Tashkent Institute of Irrigation and Agricultural Mechanization Engineers.
In the article three methods of modeling water erosion processes were described, that include field measurements, image processing and spatial explicit modeling. Innovational approaches towards measurements and modeling such as GPS (Global Positioning System) measurements, geostatistics, image processing techniques, and physically-based models bring out new data in studying processes of water erosion. Consequently, it can be strongly grounded that geoinformatics can play a significant role in order to understand erosion processes of water through characterization of space–time dynamics. Key words: Geoinformatics, GIS (Geographic Information Systems), Geomorphology, Remote sensing, Water erosion.
PREDICTION OF FUTURE WATER USE BASED ON LANDSAT IMAGE ANALYSIS IN CASE OF SYRDARYA PROVINCE. A.M.Arifjanov - professor, Sh.B.Akmalov - assistant, L.N. Samiev - PhD Tashkent Institute of Irrigation and Agricultural Mechanization Engineers.
This article is about using high resolution satellite image analysis. Resend days Remote sensing Data and Software are started to use widely in all branches of science. In this article with using the advantages of these satellites, images of the Landsat generations since 1970 have been taken for every 10 years and analyzed for study the change in land use. Syrdarya region was chosen as a research area. Changes in land use digitized and copied to statistical analysis program. According to the correlation of changes in land use created future prediction of water use for 2025. According to the results, in Syrdarya region in 2025, the water use value will increase in different sectors by an average of 5%. The accuracy of the Landsat image analysis was verified by GPS coordination accuracy and accuracy was 95%. The results of statistical analysis were verified by correlation. The Syrdarya Province which fills water shortage resent time should be ready to grow these water needs 5% in the near future. Key word: Remote Sensing, Syrdarya, WorldView-2, irrigation, channels, collectors, agriculture, water, GIS.
THE ROLE OF GEO INFORMATION (GIS) TECHNOLOGIES IN WATER MANAGEMENT. Sh.B. Akmalov - PhD, associated professor I.M. Ruziyev - doctorate student Tashkent Institute of Irrigation and Agricultural Mechanization Engineers
This article is based on theoretical review. In this article provides discussion about using GIS technologies in water management. Provides review about history of the creation of GIS and its advantages and disadvantages. Discussed future of using GIS in different sphere.GIS gives possibilities to collect the data, renewing it or use new information in analysis. It requires quick change of GIS information about Earth because procedures in the Earth are dynamically changeable. Periodically changing information in GIS gives us possibility to get new information and analyze it. GIS technologies and techniques started using widely in all sphere of humanity. It is important to know its properties. Key words: GIS, water management, Irrigation, Integrated Water Resource Management (IWRM), Uzbekistan, River basin, Agriculture.
REGRESSION MODEL OF THE CORRELATION BETWEEN COTTON YIELD AND THE NORM OF SOWING SEEDS. R.K. Djamolov - Ph.D., Senior Researcher AO “Paxtasanoat ilmiy markazi” K. Djamolov - Ph.D., associate professor, Х.С. Djamolova - assistant TIIAME.
The article describes the effectiveness of sowing results in low-cellulose drying technology, for example, dried seeds. In many cases, information obtained as a result of scientific and practical research will be random in nature. In such cases, the methods of mathematical statistics are used to analyze the results of experiments. In practice, it is especially important to check the connection “seeding and seeding rate”. This scientific article shows how to analyze the relationship between seed yield and seeding rate based on the results of laboratory experiments. There are two forms of connection (functional and correlation) between the obtained indicators and factors, and they are different. The functional correlation and correlations that led to a change in the argument of the factor “X” led to a well-defined change in the result label «У» (function). A mathematical expression describing the relationship between factors and indicators: a regression equation was constructed and the model’s adequacy was proved. Key words: random variable, functional relationship, correlation, regressionequation, regression coefficient, correlation coefficient, Iow-frustrated, soil temperature, seeds, denudations, sowing, germination,correlation, coefficient, model, adequate.
HIGH-PERFORMANCE TECHNOLOGY FOR PREPARING THE SOWING OF COTTON SEEDS. R.K. Djamolov -“Paxtasanoatilmiymarkazi” JSC.
The methods for designing of processing equipment layout with new devices such as machine-operated seed intake, delinters and packaging with a certain weight are described. The results of the development of the state-of-the-art process technique for conditioning of fuzzy and delinted sowing cotton seeds with the justification of the operating principles and experiments to study the modes of operation of the line are presented. The results of experiments showed that the conditioning of fuzzy seeds with the removal of 1,0-2,0% of the linters has an effect on the increase in the seed portion and thus reduces the large process portion. Preliminary experiments under factory conditions of the existing seed treatment shops are carried out, as a result of which the mechanical damage of seeds is reduced to 3,2% and an increase in the weight of 1000 seeds by 2-3 grams. Key words: Delintering technology, seed, seed sorting ChSA, Metering hopper of fuzzy seeds BDOS, Elevator, Seed peeling equipment OS, Bag stitching machine.