An Approach to Estimating the Economic Effect of Using ERS Data to Solve Agricultural Issues

The research objective is to study the possibility and prospects of applying qualimetry techniques to estimate the economic effect of using Earth remote sensing data in agriculture when digitally transforming the sector, considering both quantitative and qualitative efficiency indicators of economic, technical, environmental, and political and social nature and the impact of the environment on them. Based on the systematic analysis of the state and development trends of both the Earth remote sensing technology infrastructure and agriculture itself, a theoretical rationale for applying qualimetry techniques to estimate the economic effect of using these technologies in agriculture with a mathematical description of individual and integral estimates of their efficiency has been formalized. Qualimetry techniques have been compared with the efficiency estimating method based on the system of production functions. The scientific novelty of the study is the development of a scientifically grounded approach based on a formalized mathematical description to choosing a base object for estimating the economic effect of using ERS data in agriculture as part of a promising digital precision farming platform based on Earth remote sensing technologies and obtained, in turn, as a result of mathematical simulation of creating the country's economy digital management platforms. © Published under licence by IOP Publishing Ltd.

Авторы
Medennikov V.I.1 , Butrova E.V. 2 , Sklyarov A.E.3
Сборник материалов конференции
Издательство
Institute of Physics Publishing
Номер выпуска
6
Язык
Английский
Статус
Опубликовано
Номер
062084
Том
666
Год
2021
Организации
  • 1 Computing Center. A.A. Dorodnitsyna, Frc Iu Ras, Moscow, Russian Federation
  • 2 Rudn University, Moscow, Russian Federation
  • 3 Jsc "Russian Space Systems", Moscow, Russian Federation
Ключевые слова
Agricultural robots; Agriculture; Earth sciences; Economic analysis; Efficiency; Estimation; Metadata; Remote sensing; Earth remote sensing; Efficiency estimating; Efficiency indicators; Management platforms; Mathematical descriptions; Mathematical simulations; Research objectives; Systematic analysis; Economic and social effects
Дата создания
20.04.2021
Дата изменения
20.04.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/72044/
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