Experimental precision farming technologies as a driver of digitalization in crop production

Abstract

Digitalization of crop production is inextricably linked with the introduction of experimental technologies for managing crop productivity, taking into account local characteristics within each field, using developments in the field of artificial intelligence, the Internet of things, big data analysis, robotics, satellite technologies, etc., and is the main factor in effective, environmentally friendly and sustainable agriculture, ensuring the country's food security in the face of climate chang and the growing global demand for food. The article is devoted to the search for ways to use the potential of soil fertility and optimize the cost of obtaining a crop of a given quality using experimental precision farming technologies.