Studying the international practice of introducing precision farming technologies based on national programs for the development of the agrarian sector of foreign countries
The relevance of the research lies in the insufficiently studied theoretical aspects of the application of precision farming technologies. The development programs of the industry in countries with developed agriculture contain separate elements for the development of precision farming technologies. The aim is to study the international practice of introducing precision farming technologies on the basis of national programs for the development of the agrarian sector of countries with developed agriculture. The United States occupies a leading position in the development of precision farming technologies. This became possible thanks to the implementation of the Food and Agriculture Cyber Informatics and Tools (FACT) program, as well as the development of these technologies by private companies (Ag Leader Technology; AgJunction, Inc; CropMetrics LLC, etc.). In the People's Republic of China, in the Thirteenth Five-Year Plan for the Economic and Social Development of the Republic, Article 4 proclaims a course for the modernization of agriculture, which is designed for 2015-2020. It is planned to introduce a regional pilot project in the field of precision farming technologies based on IoT, increasing the level of intelligence and precision of agriculture. Japan has implemented the Strategic Innovation Promotion Program (SIP) for the next generation of agriculture, forestry and fisheries. Its main tasks include an automatic travel system for agricultural machinery under human supervision (by 2018), as well as an unmanned system for agricultural machinery with remote monitoring (by 2020). In total, 15.6 billion yen (11.5 billion rubles) was allocated for the implementation of these tasks in the period from 2014 to 2018. In Germany, 14 digital innovation parks have been created, aimed at developing both precision farming technologies and technologies of the Internet of things, big data and others.