Application of Innovative Aerospace Technologies for Pastoral Farming of Sheeps
Vladimir Trukhachev1, Serhii Oliinyk2, Tatiana Lesnyak3, Sergey Sklyarov4, Bakitzhan Musabaev5

1Vladimir Trukhachev*, Stavropol State Agrarian University, Stavropol, Russia.
2Serhii Oliinyk, Stavropol State Agrarian University, Stavropol, Russia.
3Tatiana Lesnyak, Stavropol State Agrarian University, Stavropol, Russia.
4Sergey Sklyarov, Stavropol State Agrarian University, Stavropol, Russia.
5Bakitzhan Musabaev, Kazakh Research Institute of Livestock and Feed Production, Almaty, Kazakhstan.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 4584-4587 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1843109119/2019©BEIESP | DOI: 10.35940/ijeat.A1843.109119
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: Development of an innovative system of livestock husbandry based on the use of digital aerospace technologies and telemetry is a new modern direction in the development of the livestock industry, designed to solve the many problems of restoring fertility of soil and pasture for animals. To develop a methodology for remote assessment of pasture fertility, we used the technological capabilities of using unmanned aerial vehicles and satellite service, which allows us to study the dynamics of the NDVI (Normalized Difference Vegetation Index) of various pasture plots in the Stavropol Territory of the Russian Federation. The analysis of literary sources shows that the main problems associated with the complex automation of forecasting processes for complex objects are not technical, but methodological in nature and are caused by the lack of a theoretical base that should form the basis for creating the corresponding model and algorithmic support. A comparison of the results of a prognostic assessment of the nutritional value of fodder plants obtained from unmanned aerial vehicle (UAV) images, space services with actual nutritional values obtained from studies of the zoochemical composition of feeds showed a high degree of correlation. The UAV capabilities were recognized as promising for assessing the ethological characteristics of the Manych merino sheep, which allows to optimize the acquisition of groups of animals consolidated by forage activity. The article considers the issues of assessing the nutritional value of pasture feed and the vegetation index when raising sheep of the Jalgin merino breed in the conditions of the steppe regions of the Stavropol Territory. The introduction of remote assessment methods in pastoral livestock can optimize the cultivation of various sex and age groups of sheep and reduce the time to achieve production parameters by 5-8%.
Keywords: Pasture feed, remote monitoring, vegetation index, pasture, productivity, sheep of the Jalgin merino breed.