The Impact of artificial intelligence on growth in the agri-food industry: Lithuanian case
ENThe paper examines the concept of artificial intelligence and its impact on economic growth in the agri-food industry. Artificial intelligence is divided into seven main areas, but machine learning, expert systems, vision and robotics are most widely used in the agri-food industry. The authors discuss artificial intelligence technologies being developed in Lithuania for the agri-food industry. Directions of application of each area of artificial intelligence used in the agri-food industry are being analyzed. The authors argue that the impact of artificial intelligence on economic growth in the agri-food industry responds through increased productivity. Growing gross value added to Lithuanian agriculture, forestry and fisheries, as well as in the Lithuanian food processing industry shows improving labor productivity. It is appropriate to continue research and innovation in the agri food industry, as farms tend to increase investment, which creates preconditions for the agri-food industry to increase productivity. Keywords: artificial intelligence, agriculture, agri-food industry, economic growth.
