
Algorithm for the development of the Strategy for scientific and technological development of the crop sector of the Novosibirsk region
Author(s) -
Е.V. Rudoy,
Marina Sergeevna Petukhova,
Svetlana L. Dobryanskaya,
Т. А. Садохина,
S.Yu. Kapustyanchik
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/421/3/032032
Subject(s) - futures studies , zoning , agriculture , identification (biology) , process (computing) , computer science , quality (philosophy) , natural (archaeology) , engineering , geography , artificial intelligence , ecology , civil engineering , biology , operating system , philosophy , archaeology , epistemology
In modern conditions of a high level of uncertainty in the development of science, engineering and technology in economic sectors, it is necessary to learn how to manage this long-term process purposefully, which is possible through forecasting tools, for example, foresight methodology. This is especially true for agriculture, and in particular for the crop sector, where the level of uncertainty is much higher than in other sectors due to work with living organisms and the impact on the results of production of natural and climatic conditions. The consistent use of foresight tools made it possible to develop a Strategy for the scientific and technological development of the crop industry for the Novosibirsk region, the algorithm of which is presented in this article. The main feature of the Strategy will be the identification of promising areas of scientific and technological development depending on the natural and agricultural zoning of the region, which allows one to take into account the specifics of different regions of the Novosibirsk region to build a more accurate and high-quality forecast.