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Crop production in Russia 2030: Scenarios based on data from the scientific and technological development of the sector

机译:俄罗斯2030年的农作物生产:基于该部门科技发展数据的情景

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摘要

A feature of modern crop production is the acute need to accelerate its scientific and technological development, on the basis of innovative processes. The sector of crop production has an essential dependence on external factors and the modern directions in its scientific and technological development should also reduce dependence on external factors and to improve controllability by reducing the uncertainty of responses to external influences. The methodology of scenario forecasting, adapted to the crop production gives the opportunity to answer the questions such as, for example as:How the determinants of the development of the crop sector will change? What future bifurcation points may occur? What strategic decisions can be made? What consequences these decisions will bring in future?Among the stages of long-term forecasting, the special part is assigned to development of scenarios of development. Scenario prediction allows, based on the available data, to suppose the development and behavior of the object under study in the future. As a result, it becomes possible to develop strategic and tactical solutions based on the implementation of the proposed scenarios. The peculiarity of this method is that it is applicable in situations of uncertainty of the object's reactions to various external influences.The development of scenarios allows to surmount the stochastic nature of the processes occurring in the scientific and technological sphere, to expose large-scale scientific and technological breakthroughs that can significantly change the crop sector. Scenario approach as much as possible forces out uncertainty of choice space between scenarios.
机译:现代农作物生产的一个特点是迫切需要在创新过程的基础上加快其科学技术发展。作物生产部门在本质上依赖外部因素,科学技术发展的现代方向也应减少对外部因素的依赖,并通过减少对外部影响的不确定性来提高可控性。适用于作物生产的情景预测方法使人们有机会回答诸如以下问题:作物部门发展的决定因素将如何变化?将来可能出现什么分叉点?可以做出哪些战略决策?这些决定将对未来带来什么后果?在长期预测的各个阶段中,特别部分分配给发展情景的制定。场景预测允许基于可用数据来假设将来研究对象的发展和行为。结果,有可能基于所提出的方案的实施来开发战略和战术解决方案。这种方法的独特之处在于它适用于不确定对象对各种外部影响的反应的情况。场景的发展可以克服科学和技术领域中发生的过程的随机性,从而暴露大规模的科学以及可以极大改变农作物行业的技术突破。方案方法尽可能避免方案之间选择空间的不确定性。

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