TRENDS IN ARTIFICIAL INTELLIGENCE FOR BIOTECHNOLOGY

The application of artificial intelligence (AI) in biotechnology implies the digitalization of processes in agriculture and livestock farming. Based on big data analysis, machine learning technologies make it possible to study, monitor and control key biological processes. AI systems integrate with other digital technologies, such as process and state sensors, cyber-physical systems, unmanned aerial vehicles, which, together with computer vision and deep learning algorithms, help to monitor the condition of agricultural crops and soil, check and predict environmental changes that affect crop yields. Smart agriculture makes it possible to assess environmental and economic sustainability through nutrient cycling, as well as to manage arable and pasture lands using sensor systems that record data on soil, plants and weather. Digital transformation and the application of artificial intelligence is a promising innovative direction that has enormous potential to increase the efficiency, accuracy and speed of research and development, and also creates new conditions for the emergence of revolutionary products and services.