Organization support for automation of land management projecting in irrigated areas of Uzbekistan

DOI: 10.35595/2414-9179-2020-3-26-317-323

Посмотреть или загрузить статью (Eng)

Об авторах

Allabergan R. Babajanov

Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME),
Kari Niyaziy str., 39, 100000, Tashkent, Uzbekistan,
E-mail: alik5656@bk.ru

Khudoyberdi A. Abdivaitov

Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME),
Kari Niyaziy str., 39, 100000, Tashkent, Uzbekistan,
E-mail: abdivaitov90@list.ru

Аннотация

The article describes in detail the ways in which agricultural enterprises operating in irrigated regions, including farms, create automated systems for the development and implementation of internal land management projects, the use of specialized expert systems based on artificial intelligence in assessing projects and their economic efficiency. Geographical information for the internal organization of farmland, in particular, the design of irrigation plots, crop rotations, forest plantations, field paths and irrigation canals, which are key elements in the territorial arrangement of the proposed sowing areas; ways to create such projects with wide application of GIS technologies in a short amount of time at low cost, as well as promptly eliminate deficiencies identified by expert systems. It is explained that the introduction of expert systems based on artificial intelligence into the practice of projecting of land management is more cost-effective than traditional estimation methods.

Ключ. слова

land management, project, automated systems of land management projecting, land information systems, expert systems

Список литературы

  1. Papaskiri T.V. Automation of land management project. Moscow: State University of Land Management, 2016.
  2. Papaskiri T.V. Automation of land management projecting (economics and organization). Moscow: State University of Land Management, 2013.
  3. Papaskiri T.V. Creation of a system of automated land management design and a package of applied programs for performing priority types of land management and related works in the Russian Federation. Moscow: State University of Land Management, 2014.
  4. Papaskiri T.V. Information support of land management. Moscow: State University of Land Management, 2013.
  5. Papaskiri T.V. Information support of modern land management. Land Management, Cadastre, Land Monitoring. Publishing House Panorama, Athena Publishing House, 2011. V. 5. P. 29–40.
  6. Pospelov G.S. Artificial intelligence is the basis of new information technology. Moscow: Progress, 2014.
  7. Volkov S.N., Avezboev S.A. Automated systems of land management projecting. Tashkent, 2014.
  8. Volkov S.N., Loyko P.F. Justification of the need and main directions of state regulation of land management. Land Management, Cadastre, Land Monitoring, 2010. V. 7. P. 45–53.
  9. Volkov S.N., Papaskiri T.V., Sheptukhov V.N. et al. The soil protection organization of the use and protection of agricultural land on a landscape basis. Moscow: State University of Land Management, 2000.

Для цитирования: Babajanov A.R., Abdivaitov Kh.A. Organization support for automation of land management projecting in irrigated areas of Uzbekistan. ИнтерКарто. ИнтерГИС. Геоинформационное обеспечение устойчивого развития территорий: Материалы Междунар. конф. M: Издательство Московского университета, 2020. Т. 26. Ч. 3. С. 317–323 DOI: 10.35595/2414-9179-2020-3-26-317-323

For citation: Babajanov A.R., Abdivaitov Kh.A. Organization support for automation of land management projecting in irrigated areas of Uzbekistan. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: Moscow University Press, 2020. V. 26. Part 3. P. 317–323. DOI: 10.35595/2414-9179-2020-3-26-317-323